kamil_adc support added

data_acq_and_processing/common_cpp/config/src/run_config.cpp

@@ -425,8 +425,12 @@ auto load_run_config(const std::string& path) -> RunConfig {
             static_cast<float>(as_number(required_field(*sweep_obj, "start_hz"), "radar.sweep.start_hz"));
         config.radar.sweep.stop_hz =
             static_cast<float>(as_number(required_field(*sweep_obj, "stop_hz"), "radar.sweep.stop_hz"));
-        config.radar.sweep.points =
-            number_to_u32(as_number(required_field(*sweep_obj, "points"), "radar.sweep.points"), "radar.sweep.points");
+        if (const auto* points_value = optional_field(*sweep_obj, "points"); points_value != nullptr) {
+            config.radar.sweep.points =
+                number_to_u32(as_number(*points_value, "radar.sweep.points"), "radar.sweep.points");
+        } else if (config.radar.model != "kamil_adc") {
+            throw std::runtime_error("Missing required config field: points");
+        }
         config.radar.sweep.if_bandwidth_hz = static_cast<float>(
             as_number(required_field(*sweep_obj, "if_bandwidth_hz"), "radar.sweep.if_bandwidth_hz")
         );

data_acq_and_processing/processing/data_processor/include/processing_live_config.hpp

@@ -39,6 +39,7 @@ struct ProcessingLiveConfig {
     float gpr_range_comp_power = 0.28F;
     float gpr_angle_comp_power = 0.10F;
     float gpr_comp_power = 0.2F;
+    std::string gpr_score_mode = "combined";
     float gpr_speed_m_s = 0.0F;
     float gpr_look_angle_deg = 0.0F;
     float gpr_snr_thresh = 4.5F;
@@ -48,6 +49,7 @@ struct ProcessingLiveConfig {
     bool gpr_background_subtract_enabled = true;
     std::uint32_t gpr_background_mean_count = 10U;
     bool gpr_remove_sidelobe_objects_enabled = true;
+    bool reprocess_current_result = true;
     std::uint64_t history_command_seq = 0;
     HistoryCommand history_command = HistoryCommand::None;
 };

data_acq_and_processing/processing/data_processor/src/data_processor.cpp

@@ -77,7 +77,10 @@ void DataProcessor::run(const std::atomic<bool>& stop_requested) {
                 last_applied_history_command_seq = live_config.history_command_seq;
             }
 
-            if (should_replay_entire_history(live_config)) {
+            if (!live_config.reprocess_current_result) {
+                // Socket-fed speed updates should affect only future preprocessed collections,
+                // not replay the current history entry.
+            } else if (should_replay_entire_history(live_config)) {
                 for (std::size_t index = 0; index < preprocessed_history.size(); ++index) {
                     const auto replay_result = process_collection(
                         preprocessed_history[index],

data_acq_and_processing/processing/data_processor/src/processing_live_config.cpp

@@ -41,6 +41,13 @@ using Json = nlohmann::json;
     throw std::runtime_error(field_name + " must be one of: point, extended");
 }
 
+[[nodiscard]] auto parse_gpr_score_mode(const std::string& value, const std::string& field_name) -> std::string {
+    if (value == "peak" || value == "combined") {
+        return value;
+    }
+    throw std::runtime_error(field_name + " must be one of: peak, combined");
+}
+
 void apply_legacy_gpr_algorithm_alias(ProcessingLiveConfig& config, const std::string& value) {
     if (value == "backprojection") {
         return;
@@ -241,6 +248,12 @@ void apply_legacy_gpr_algorithm_alias(ProcessingLiveConfig& config, const std::s
         }
         config.gpr_comp_power = static_cast<float>(found->get<double>());
     }
+    if (const auto found = root.find("gpr_score_mode"); found != root.end()) {
+        if (!found->is_string()) {
+            throw std::runtime_error("processing.gpr_score_mode must be string");
+        }
+        config.gpr_score_mode = parse_gpr_score_mode(found->get<std::string>(), "processing.gpr_score_mode");
+    }
     if (const auto found = root.find("gpr_speed_m_s"); found != root.end()) {
         if (!found->is_number()) {
             throw std::runtime_error("processing.gpr_speed_m_s must be number");
@@ -292,6 +305,12 @@ void apply_legacy_gpr_algorithm_alias(ProcessingLiveConfig& config, const std::s
         }
         config.gpr_remove_sidelobe_objects_enabled = found->get<bool>();
     }
+    if (const auto found = root.find("reprocess_current_result"); found != root.end()) {
+        if (!found->is_boolean()) {
+            throw std::runtime_error("processing.reprocess_current_result must be bool");
+        }
+        config.reprocess_current_result = found->get<bool>();
+    }
     if (const auto found = root.find("history_command_seq"); found != root.end()) {
         config.history_command_seq = parse_u64_number(*found, "processing.history_command_seq");
     }

data_acq_and_processing/processing/processors/src/gpr_backprojection_processor.ipp

@@ -9,7 +9,11 @@ constexpr std::size_t kAscanOversample = 8U;
 constexpr double kRangeWeightMax = 5.0;
 constexpr double kAngleWeightMax = 2.0;
 constexpr double kTotalWeightMax = 8.0;
-constexpr double kCompensationReferenceDepthM = 3.0;
+constexpr double kCompensationReferenceDepthM = 5.0;
+
+constexpr bool kPairNormalize = true;
+constexpr double kPairNormPercentile = 50.0;
+constexpr double kPairNormEps = 1e-15;
 
 constexpr double kSmoothSigma = 1.5;
 constexpr std::size_t kMaxObjects = 10U;
@@ -30,6 +34,18 @@ constexpr double kSidelobeMinDxM = 0.35;
 constexpr double kSidelobeMaxDzM = 0.70;
 constexpr double kSidelobeMaxRelativePeak = 0.85;
 
+constexpr double kLocalBgRadiusXM = 1.20;
+constexpr double kLocalBgRadiusZM = 0.80;
+constexpr double kLocalBgPercentile = 50.0;
+constexpr double kLocalContrastEps = 1e-12;
+
+constexpr double kScoreCohPeakWeight = 0.45;
+constexpr double kScoreCoherenceFactorWeight = 0.25;
+constexpr double kScoreProminenceWeight = 0.20;
+constexpr double kScoreContrastWeight = 0.10;
+constexpr double kScoreContrastCap = 6.0;
+constexpr double kScoreCfEps = 1e-12;
+
 using PairKey = std::uint64_t;
 
 struct GeometrySelection {
@@ -72,10 +88,13 @@ struct GridDefinition {
 struct BpMap {
     std::vector<double> image{};
     std::vector<std::complex<double>> coherent{};
+    std::vector<double> incoherent{};
+    std::vector<double> coherence_factor{};
 };
 
 struct ObjectRecord {
     std::size_t index = 0U;
+    std::size_t peak_index = 0U;
     double x_peak_m = 0.0;
     double z_peak_m = 0.0;
     double x_m = 0.0;
@@ -87,6 +106,18 @@ struct ObjectRecord {
     double center_area_cm2 = 0.0;
     double mean_value = 0.0;
     double sum_value = 0.0;
+    double local_bg = 0.0;
+    double local_bg_p75 = 0.0;
+    double prominence = 0.0;
+    double contrast = 0.0;
+    double incoh_peak = 0.0;
+    double incoh_mean = 0.0;
+    double incoh_center_mean = 0.0;
+    double coherence_factor_peak = 0.0;
+    double coherence_factor_center = 0.0;
+    double score_old = 0.0;
+    double score_new = 0.0;
+    double selected_score = 0.0;
     std::vector<std::uint8_t> region_mask{};
     std::vector<std::uint8_t> center_mask{};
     bool sidelobe_candidate = false;
@@ -178,6 +209,28 @@ void fft_inplace(std::vector<std::complex<double>>& values, bool inverse) {
     return median;
 }
 
+[[nodiscard]] auto percentile_copy(std::vector<double> values, double percentile) -> double {
+    if (values.empty()) {
+        return 0.0;
+    }
+
+    values.erase(
+        std::remove_if(values.begin(), values.end(), [](double value) { return !std::isfinite(value); }),
+        values.end()
+    );
+    if (values.empty()) {
+        return 0.0;
+    }
+
+    std::sort(values.begin(), values.end());
+    const double clamped_percentile = std::clamp(percentile, 0.0, 100.0);
+    const double position = (clamped_percentile / 100.0) * static_cast<double>(values.size() - 1U);
+    const auto lower_index = static_cast<std::size_t>(std::floor(position));
+    const auto upper_index = std::min<std::size_t>(lower_index + 1U, values.size() - 1U);
+    const double fraction = position - static_cast<double>(lower_index);
+    return (values[lower_index] * (1.0 - fraction)) + (values[upper_index] * fraction);
+}
+
 [[nodiscard]] auto build_axis(double min_value, double max_value, std::size_t count) -> std::vector<double> {
     std::vector<double> axis{};
     if (count == 0U) {
@@ -576,6 +629,50 @@ void validate_collection_trace_order(
     return result;
 }
 
+void normalize_pair_ascans(
+    std::unordered_map<PairKey, AscanResult>& ascans_by_pair,
+    double velocity_mps,
+    double min_depth_m,
+    double max_depth_m
+) {
+    if (!kPairNormalize) {
+        return;
+    }
+
+    for (auto& item : ascans_by_pair) {
+        auto& ascan = item.second;
+        if (ascan.samples.empty() || ascan.time_s.size() != ascan.samples.size()) {
+            continue;
+        }
+
+        std::vector<double> amplitudes{};
+        amplitudes.reserve(ascan.samples.size());
+        for (std::size_t index = 0U; index < ascan.samples.size(); ++index) {
+            const double depth_m = 0.5 * velocity_mps * ascan.time_s[index];
+            if (depth_m < min_depth_m || depth_m > max_depth_m) {
+                continue;
+            }
+            amplitudes.push_back(std::abs(ascan.samples[index]));
+        }
+        if (amplitudes.empty()) {
+            amplitudes.reserve(ascan.samples.size());
+            for (const auto& sample : ascan.samples) {
+                amplitudes.push_back(std::abs(sample));
+            }
+        }
+
+        double scale = percentile_copy(std::move(amplitudes), kPairNormPercentile);
+        if (!std::isfinite(scale) || !(scale > kPairNormEps)) {
+            scale = 1.0;
+        }
+
+        const double denominator = scale + kPairNormEps;
+        for (auto& sample : ascan.samples) {
+            sample /= denominator;
+        }
+    }
+}
+
 [[nodiscard]] auto build_grid(
     const std::vector<double>& x_tx,
     const std::vector<double>& x_rx,
@@ -706,6 +803,8 @@ void validate_collection_trace_order(
     BpMap result{};
     result.image.assign(cell_count, 0.0);
     result.coherent.assign(cell_count, std::complex<double>(0.0, 0.0));
+    result.incoherent.assign(cell_count, 0.0);
+    result.coherence_factor.assign(cell_count, 0.0);
     std::vector<double> contribution_count(cell_count, 0.0);
 
     for (const auto& trace : selected_traces) {
@@ -714,6 +813,10 @@ void validate_collection_trace_order(
         if (ascan_it == ascans_by_pair.end()) {
             continue;
         }
+        const auto& ascan = ascan_it->second;
+        if (ascan.time_s.empty()) {
+            continue;
+        }
 
         const auto [geo_ref, angle_ref] = attenuation_components_at_ref_depth(
             trace.tx_local_index,
@@ -736,10 +839,10 @@ void validate_collection_trace_order(
                 const double r_tx = tx_distances[cell_index];
                 const double r_rx = rx_distances[cell_index];
                 const double tau_s = (r_tx + r_rx) / velocity_mps;
-                const auto sample = interpolate_complex(ascan_it->second, tau_s);
-                if (sample == std::complex<double>(0.0, 0.0)) {
+                if (tau_s < ascan.time_s.front() || tau_s > ascan.time_s.back()) {
                     continue;
                 }
+                const auto sample = interpolate_complex(ascan, tau_s);
 
                 const double weight = compensation_weight(
                     r_tx,
@@ -751,6 +854,7 @@ void validate_collection_trace_order(
                     angle_power
                 );
                 result.coherent[cell_index] += sample * weight;
+                result.incoherent[cell_index] += std::abs(sample) * weight;
                 contribution_count[cell_index] += 1.0;
             }
         }
@@ -761,7 +865,10 @@ void validate_collection_trace_order(
             continue;
         }
         result.coherent[index] /= contribution_count[index];
+        result.incoherent[index] /= contribution_count[index];
         result.image[index] = std::abs(result.coherent[index]);
+        result.coherence_factor[index] =
+            std::clamp(result.image[index] / (result.incoherent[index] + kScoreCfEps), 0.0, 1.0);
     }
 
     return result;
@@ -786,6 +893,21 @@ void apply_depth_gate(
     }
 }
 
+[[nodiscard]] auto normalize_bp_map(
+    const std::vector<double>& raw_image,
+    const GridDefinition& grid,
+    double min_depth_m,
+    double max_depth_m,
+    double smooth_sigma
+) -> std::vector<double> {
+    auto normalized = raw_image;
+    normalize_in_place(normalized);
+    normalized = gaussian_filter_2d(normalized, grid.x_grid.size(), grid.z_grid.size(), smooth_sigma);
+    apply_depth_gate(normalized, grid.z_grid, grid.x_grid.size(), min_depth_m, max_depth_m);
+    normalize_in_place(normalized);
+    return normalized;
+}
+
 [[nodiscard]] auto neighbor_indices(
     std::size_t index,
     std::size_t width,
@@ -1045,6 +1167,7 @@ void apply_depth_gate(
 
         ObjectRecord object{};
         object.index = objects.size() + 1U;
+        object.peak_index = peak_index;
         object.x_peak_m = x_peak;
         object.z_peak_m = z_peak;
         object.x_m = x_center;
@@ -1153,6 +1276,187 @@ void mark_sidelobe_candidates(
     }
 }
 
+void add_local_prominence_metrics(
+    std::vector<ObjectRecord>& objects,
+    const std::vector<double>& bp_image,
+    const GridDefinition& grid,
+    double min_depth_m,
+    double max_depth_m
+) {
+    const std::size_t width = grid.x_grid.size();
+    if (bp_image.empty() || width == 0U) {
+        return;
+    }
+
+    for (auto& object : objects) {
+        std::vector<double> bg_values{};
+        for (std::size_t index = 0U; index < bp_image.size(); ++index) {
+            const auto row = index / width;
+            const auto col = index % width;
+            const double x_m = grid.x_grid[col];
+            const double z_m = grid.z_grid[row];
+            const bool in_local_window =
+                std::abs(x_m - object.x_peak_m) <= kLocalBgRadiusXM &&
+                std::abs(z_m - object.z_peak_m) <= kLocalBgRadiusZM;
+            const bool in_depth_gate = z_m >= min_depth_m && z_m <= max_depth_m;
+            if (in_local_window && in_depth_gate && object.region_mask[index] == 0U) {
+                bg_values.push_back(bp_image[index]);
+            }
+        }
+
+        if (bg_values.size() < 10U) {
+            bg_values.clear();
+            for (std::size_t index = 0U; index < bp_image.size(); ++index) {
+                const auto row = index / width;
+                const double z_m = grid.z_grid[row];
+                if (z_m >= min_depth_m && z_m <= max_depth_m && object.region_mask[index] == 0U) {
+                    bg_values.push_back(bp_image[index]);
+                }
+            }
+        }
+
+        object.local_bg = percentile_copy(bg_values, kLocalBgPercentile);
+        object.local_bg_p75 = percentile_copy(std::move(bg_values), 75.0);
+        object.prominence = object.peak - object.local_bg;
+        object.contrast = object.peak / (object.local_bg + kLocalContrastEps);
+    }
+}
+
+[[nodiscard]] auto mean_values_under_mask(
+    const std::vector<double>& values,
+    const std::vector<std::uint8_t>& mask
+) -> double {
+    if (values.empty() || values.size() != mask.size()) {
+        return 0.0;
+    }
+
+    double sum = 0.0;
+    std::size_t count = 0U;
+    for (std::size_t index = 0U; index < values.size(); ++index) {
+        if (mask[index] == 0U) {
+            continue;
+        }
+        sum += values[index];
+        count += 1U;
+    }
+    return count > 0U ? sum / static_cast<double>(count) : 0.0;
+}
+
+[[nodiscard]] auto max_values_under_mask(
+    const std::vector<double>& values,
+    const std::vector<std::uint8_t>& mask
+) -> double {
+    if (values.empty() || values.size() != mask.size()) {
+        return 0.0;
+    }
+
+    double maximum = 0.0;
+    bool has_value = false;
+    for (std::size_t index = 0U; index < values.size(); ++index) {
+        if (mask[index] == 0U) {
+            continue;
+        }
+        maximum = has_value ? std::max(maximum, values[index]) : values[index];
+        has_value = true;
+    }
+    return has_value ? maximum : 0.0;
+}
+
+void add_incoherent_support_metrics(
+    std::vector<ObjectRecord>& objects,
+    const std::vector<double>& bp_incoherent_image,
+    const std::vector<double>& bp_coherence_factor
+) {
+    for (auto& object : objects) {
+        object.incoh_peak = max_values_under_mask(bp_incoherent_image, object.region_mask);
+        object.incoh_mean = mean_values_under_mask(bp_incoherent_image, object.region_mask);
+        object.incoh_center_mean = mean_values_under_mask(bp_incoherent_image, object.center_mask);
+        if (!(object.incoh_center_mean > 0.0)) {
+            object.incoh_center_mean = object.incoh_mean;
+        }
+
+        if (!bp_coherence_factor.empty() && object.peak_index < bp_coherence_factor.size()) {
+            object.coherence_factor_peak = std::clamp(bp_coherence_factor[object.peak_index], 0.0, 1.0);
+        } else {
+            object.coherence_factor_peak =
+                std::clamp(object.peak / (object.incoh_peak + kScoreCfEps), 0.0, 1.0);
+        }
+
+        const double center_cf = mean_values_under_mask(bp_coherence_factor, object.center_mask);
+        object.coherence_factor_center = std::clamp(
+            center_cf > 0.0
+                ? center_cf
+                : object.mean_value / (object.incoh_center_mean + kScoreCfEps),
+            0.0,
+            1.0
+        );
+    }
+}
+
+[[nodiscard]] auto contrast_score_unit(double contrast) -> double {
+    if (!std::isfinite(contrast) || kScoreContrastCap <= 1.0) {
+        return 0.0;
+    }
+    return std::clamp((contrast - 1.0) / (kScoreContrastCap - 1.0), 0.0, 1.0);
+}
+
+[[nodiscard]] auto use_combined_gpr_score(const ProcessingLiveConfig& live_config) -> bool {
+    return live_config.gpr_score_mode == "combined";
+}
+
+void add_bp_score_metrics(
+    std::vector<ObjectRecord>& objects,
+    const ProcessingLiveConfig& live_config
+) {
+    double total_weight =
+        kScoreCohPeakWeight +
+        kScoreCoherenceFactorWeight +
+        kScoreProminenceWeight +
+        kScoreContrastWeight;
+    if (!(total_weight > 0.0)) {
+        total_weight = 1.0;
+    }
+
+    const bool combined_score = use_combined_gpr_score(live_config);
+    for (auto& object : objects) {
+        const double coh_peak_score = std::clamp(object.peak, 0.0, 1.0);
+        const double coherence_factor_score = std::clamp(object.coherence_factor_peak, 0.0, 1.0);
+        const double prominence_score = std::clamp(object.prominence, 0.0, 1.0);
+        const double contrast_score = contrast_score_unit(object.contrast);
+
+        object.score_old = coh_peak_score;
+        object.score_new = (
+            (kScoreCohPeakWeight * coh_peak_score) +
+            (kScoreCoherenceFactorWeight * coherence_factor_score) +
+            (kScoreProminenceWeight * prominence_score) +
+            (kScoreContrastWeight * contrast_score)
+        ) / total_weight;
+        object.selected_score = combined_score ? object.score_new : object.score_old;
+    }
+}
+
+[[nodiscard]] auto output_objects_sorted(
+    const std::vector<ObjectRecord>& objects,
+    const ProcessingLiveConfig& live_config
+) -> std::vector<const ObjectRecord*> {
+    std::vector<const ObjectRecord*> visible{};
+    visible.reserve(objects.size());
+    for (const auto& object : objects) {
+        if (live_config.gpr_remove_sidelobe_objects_enabled && object.sidelobe_candidate) {
+            continue;
+        }
+        visible.push_back(&object);
+    }
+
+    std::sort(visible.begin(), visible.end(), [](const ObjectRecord* left, const ObjectRecord* right) {
+        if (left->selected_score == right->selected_score) {
+            return left->peak > right->peak;
+        }
+        return left->selected_score > right->selected_score;
+    });
+    return visible;
+}
+
 [[nodiscard]] auto flatten_table(
     const std::vector<std::vector<float>>& rows,
     std::uint32_t column_count
@@ -1248,6 +1552,7 @@ void mark_sidelobe_candidates(
     if (ascans_by_pair.empty()) {
         return results;
     }
+    normalize_pair_ascans(ascans_by_pair, velocity_mps, min_depth_m, max_depth_m);
 
     const auto grid = build_grid(selection.x_tx, selection.x_rx, max_depth_m, kGridZMinM);
     if (grid.x_grid.empty() || grid.z_grid.empty()) {
@@ -1270,13 +1575,15 @@ void mark_sidelobe_candidates(
         return results;
     }
 
-    normalize_in_place(bp.image);
-    auto display_map = gaussian_filter_2d(bp.image, grid.x_grid.size(), grid.z_grid.size(), kSmoothSigma);
-    apply_depth_gate(display_map, grid.z_grid, grid.x_grid.size(), min_depth_m, max_depth_m);
-    normalize_in_place(display_map);
+    auto display_map = normalize_bp_map(bp.image, grid, min_depth_m, max_depth_m, kSmoothSigma);
+    const auto incoherent_display_map =
+        normalize_bp_map(bp.incoherent, grid, min_depth_m, max_depth_m, kSmoothSigma);
 
     auto objects = find_bp_objects(display_map, grid);
+    add_local_prominence_metrics(objects, display_map, grid, min_depth_m, max_depth_m);
+    add_incoherent_support_metrics(objects, incoherent_display_map, bp.coherence_factor);
     mark_sidelobe_candidates(objects, selected_traces, selection.x_tx, selection.x_rx);
+    add_bp_score_metrics(objects, live_config);
 
     if (live_config.gpr_remove_sidelobe_objects_enabled) {
         for (const auto& object : objects) {
@@ -1295,15 +1602,12 @@ void mark_sidelobe_candidates(
 
     std::vector<std::vector<float>> point_rows{};
     point_rows.reserve(objects.size());
-    for (const auto& object : objects) {
-        if (live_config.gpr_remove_sidelobe_objects_enabled && object.sidelobe_candidate) {
-            continue;
-        }
+    for (const auto* object : output_objects_sorted(objects, live_config)) {
         point_rows.push_back(
             {
-                static_cast<float>(object.x_m),
-                static_cast<float>(object.z_m),
-                static_cast<float>(object.peak),
+                static_cast<float>(object->x_m),
+                static_cast<float>(object->z_m),
+                static_cast<float>(object->selected_score),
             }
         );
     }

docs/operation_modes.md

@@ -266,6 +266,9 @@ Notes:
 - `executable_path` is mandatory and must name the real Raspberry Pi binary.
 - The producer appends `tty:<tty_path>` automatically; do not put `tty:` in
   `radar.kamil_adc.args`.
+- The producer derives the sweep point count from the Kamil ADC TTY stream.
+  `radar.sweep.start_hz` and `stop_hz` define the synthetic frequency axis;
+  `radar.sweep.points` is not a Kamil ADC setting.
 - The laser-control driver is vendored under `python_app.hardware_full.laser_control`.
 - `laser_control` and `kamil_adc` are treated as one hardware configuration.
   Changing either section requires restarting acquisition so the lasers are

docs/run_config.md

@@ -149,7 +149,9 @@ Fields:
 
 The TTY frame format is strict: packet start is `0x000A 0xFFFF 0xFFFF 0xFFFF`,
 then each sweep point is `0x000A step data1 data2`. Steps must arrive as
-`1..points`. `S21` is `data1 + j*data2`; `S11` is stored as explicit zeros.
+`1..N`; `N` is derived from the stream when the next packet start arrives.
+`radar.sweep.points` is not used by the Kamil ADC producer. `S21` is
+`data1 + j*data2`; `S11` is stored as explicit zeros.
 
 ### `radar.laser_control`
 

locator_test_client.py

@@ -0,0 +1,132 @@
+import json
+import random
+import socket
+import struct
+import threading
+import time
+from typing import Any, Dict, Tuple
+
+HOST = "127.0.0.1"
+PORT = 8888
+CLIENT_DEVICE_ID = 0
+MIN_TEST_VLC = 5.0
+MAX_TEST_VLC = 6.0
+SEND_INTERVAL_SECONDS = 1.0
+RECV_TIMEOUT_SECONDS = 1.0
+CONNECT_TIMEOUT_SECONDS = 5.0
+MAX_PAYLOAD_BYTES = 64 * 1024
+HEADER_STRUCT = struct.Struct("<II")
+
+
+def encode_packet(payload: Dict[str, Any], device_id: int) -> bytes:
+    """Encode a JSON payload using the protocol binary header."""
+    payload_bytes = json.dumps(
+        payload,
+        ensure_ascii=True,
+        separators=(",", ":"),
+    ).encode("utf-8")
+    return HEADER_STRUCT.pack(device_id, len(payload_bytes)) + payload_bytes
+
+
+def recv_exactly(sock: socket.socket, size: int) -> bytes:
+    """Receive an exact number of bytes from the socket."""
+    chunks = bytearray()
+
+    while len(chunks) < size:
+        chunk = sock.recv(size - len(chunks))
+        if not chunk:
+            raise ConnectionError("Connection closed by peer.")
+        chunks.extend(chunk)
+
+    return bytes(chunks)
+
+
+def read_packet(sock: socket.socket) -> Tuple[int, Any]:
+    """Read and decode a single packet from the server."""
+    header_bytes = recv_exactly(sock, HEADER_STRUCT.size)
+    device_id, payload_length = HEADER_STRUCT.unpack(header_bytes)
+
+    if payload_length > MAX_PAYLOAD_BYTES:
+        raise ValueError(
+            "Payload length %d exceeds the %d byte limit."
+            % (payload_length, MAX_PAYLOAD_BYTES)
+        )
+
+    payload_bytes = recv_exactly(sock, payload_length)
+    payload = json.loads(payload_bytes.decode("utf-8"))
+    return device_id, payload
+
+def send_vlc_message(sock: socket.socket, device_id: int, vlc: float) -> None:
+    """Send one test client payload to the server."""
+    payload = {"vlc": vlc}
+    sock.sendall(encode_packet(payload, device_id=device_id))
+    print(f'>>> sent {json.dumps(payload, ensure_ascii=False)} device_id={device_id}')
+
+
+def receive_loop(sock: socket.socket, stop_event: threading.Event) -> None:
+    """Print all packets received from the locator server."""
+    while not stop_event.is_set():
+        try:
+            device_id, payload = read_packet(sock)
+        except socket.timeout:
+            continue
+        except (ConnectionError, OSError, ValueError, json.JSONDecodeError) as error:
+            if not stop_event.is_set():
+                print("Receiver stopped:", error)
+            stop_event.set()
+            return
+
+        print(f"<<< received device_id={device_id}")
+        print(json.dumps(payload, ensure_ascii=False, indent=2))
+
+
+def send_loop(sock: socket.socket, stop_event: threading.Event) -> None:
+    """Send test vlc packets until the client is stopped."""
+    send_vlc_message(
+        sock,
+        CLIENT_DEVICE_ID,
+        round(random.uniform(MIN_TEST_VLC, MAX_TEST_VLC), 2),
+    )
+
+    if SEND_INTERVAL_SECONDS <= 0:
+        while not stop_event.is_set():
+            time.sleep(0.1)
+        return
+
+    while not stop_event.is_set():
+        time.sleep(SEND_INTERVAL_SECONDS)
+        send_vlc_message(
+            sock,
+            CLIENT_DEVICE_ID,
+            round(random.uniform(MIN_TEST_VLC, MAX_TEST_VLC), 2),
+        )
+
+
+def main() -> None:
+    """Run the client until interrupted or disconnected."""
+    stop_event = threading.Event()
+
+    with socket.create_connection(
+        (HOST, PORT),
+        timeout=CONNECT_TIMEOUT_SECONDS,
+    ) as sock:
+        sock.settimeout(RECV_TIMEOUT_SECONDS)
+        print(f"Connected to {HOST}:{PORT}")
+
+        receiver = threading.Thread(
+            target=receive_loop,
+            args=(sock, stop_event),
+            daemon=True,
+        )
+        receiver.start()
+
+        try:
+            send_loop(sock, stop_event)
+        except KeyboardInterrupt:
+            print("Stopping client.")
+        finally:
+            stop_event.set()
+
+
+if __name__ == "__main__":
+    main()

python_app/gui/app_window.py

@@ -10,6 +10,7 @@ from collections import deque
 from datetime import datetime
 import html
 import json
+import os
 from pathlib import Path
 import traceback
 
@@ -217,6 +218,7 @@ class AppWindow(
         self._on_processing_mode_changed(self._processing_mode.currentText())
         self._write_live_processing_config()
         self._timer.start()
+        self._maybe_auto_start_pipeline()
 
     def _start_locator_service(self) -> None:
         """Start embedded locator TCP service without failing the GUI."""
@@ -268,6 +270,13 @@ class AppWindow(
 
     def _resolve_startup_profile_path(self) -> Path:
         """Resolve active profile path from session-state or root fallback path."""
+        env_profile_path = os.environ.get("RADAR_SYSTEM_PROFILE", "").strip()
+        if env_profile_path:
+            profile_path = Path(env_profile_path).expanduser()
+            if not profile_path.is_absolute():
+                profile_path = (self._project_root / profile_path).resolve(strict=False)
+            return profile_path
+
         try:
             session_state = self._gui_session_state_store.load()
         except Exception as exc:
@@ -287,6 +296,14 @@ class AppWindow(
             profile_path = (self._project_root / profile_path).resolve(strict=False)
         return profile_path
 
+    def _maybe_auto_start_pipeline(self) -> None:
+        """Schedule pipeline start when requested by launcher environment."""
+        auto_start = os.environ.get("RADAR_SYSTEM_AUTO_START", "").strip().lower()
+        if auto_start not in {"1", "true", "yes", "on"}:
+            return
+        self._log("Auto-start requested by launcher.")
+        QTimer.singleShot(500, self._start_run)
+
     def _normalize_profile_path(self, path: Path) -> Path:
         """Return normalized absolute profile path."""
         return path.expanduser().resolve(strict=False)

python_app/gui/controllers/app_window_config/live_processing_mixin.py

@@ -24,7 +24,12 @@ class AppWindowLiveProcessingMixin:
             self._live_processing_config(),
         )
 
-    def _live_processing_config(self, *, history_command: str = "none") -> ProcessingLiveConfig:
+    def _live_processing_config(
+        self,
+        *,
+        history_command: str = "none",
+        reprocess_current_result: bool = True,
+    ) -> ProcessingLiveConfig:
         """Build live processing config from current processing widgets."""
         self._sync_bscan_frequency_limits_with_radar()
         self._sync_gpr_frequency_limits_with_radar()
@@ -71,6 +76,9 @@ class AppWindowLiveProcessingMixin:
             gpr_range_comp_power=float(self._gpr_range_comp_power.value()),
             gpr_angle_comp_power=float(self._gpr_angle_comp_power.value()),
             gpr_comp_power=float(self._legacy_gpr_comp_power.value()),
+            gpr_score_mode=self._gpr_score_mode.currentText(),
+            gpr_max_detected_objects_to_draw=int(self._gpr_max_detected_objects_to_draw.value()),
+            gpr_draw_top_m_objects=int(self._gpr_draw_top_m_objects.value()),
             gpr_speed_m_s=float(self._legacy_gpr_speed_m_s.value()),
             gpr_look_angle_deg=float(self._legacy_gpr_look_angle_deg.value()),
             gpr_snr_thresh=float(self._legacy_gpr_snr_thresh.value()),
@@ -80,15 +88,27 @@ class AppWindowLiveProcessingMixin:
             gpr_background_subtract_enabled=gpr_background_enabled,
             gpr_background_mean_count=gpr_background_mean_count,
             gpr_remove_sidelobe_objects_enabled=bool(self._gpr_remove_sidelobe_objects_enabled.isChecked()),
+            reprocess_current_result=bool(reprocess_current_result),
             history_command_seq=int(self._history_command_seq),
             history_command=str(history_command),
         )
 
-    def _write_live_processing_config(self, *, history_command: str = "none", bump_history_seq: bool = False) -> None:
+    def _write_live_processing_config(
+        self,
+        *,
+        history_command: str = "none",
+        bump_history_seq: bool = False,
+        reprocess_current_result: bool = True,
+    ) -> None:
         """Persist current live processing config to runtime JSON file."""
         if bump_history_seq:
             self._history_command_seq += 1
-        self._live_config_writer.write(self._live_processing_config(history_command=history_command))
+        self._live_config_writer.write(
+            self._live_processing_config(
+                history_command=history_command,
+                reprocess_current_result=reprocess_current_result,
+            )
+        )
 
     def _on_processing_live_settings_changed(self, *_args) -> None:
         """Handle live-processing setting changes and trigger redraw when needed."""
@@ -215,11 +235,14 @@ class AppWindowLiveProcessingMixin:
                 f"freq={self._gpr_start_freq_mhz.value():g}..{self._gpr_stop_freq_mhz.value():g} MHz, "
                 f"range_comp={self._gpr_range_comp_power.value():g}, "
                 f"angle_comp={self._gpr_angle_comp_power.value():g}, "
+                f"score_mode={self._gpr_score_mode.currentText()}, "
                 f"background_subtract={self._gpr_background_subtract_enabled.isChecked()}, "
                 f"mean_count={self._gpr_background_mean_count.value()}, "
                 f"remove_sidelobes={self._gpr_remove_sidelobe_objects_enabled.isChecked()}, "
                 f"render_mode={self._gpr_render_mode.currentText()}, "
-                f"min_score={self._gpr_min_visible_score.value():g})"
+                f"min_score={self._gpr_min_visible_score.value():g}, "
+                f"max_draw={self._gpr_max_detected_objects_to_draw.value()}, "
+                f"draw_top={self._gpr_draw_top_m_objects.value()})"
             )
         elif mode == "legacy_gpr":
             self._log(

python_app/gui/controllers/app_window_config/profile_io_mixin.py

@@ -70,6 +70,52 @@ class AppWindowConfigProfileIOMixin:
         self._pass_through_y_min_db.setEnabled(enabled)
         self._pass_through_y_max_db.setEnabled(enabled)
 
+    def _set_radar_settings_mode(self, adc_mode: bool) -> None:
+        """Show the radar settings panel appropriate for the loaded radar model."""
+        self._vna_radar_settings_panel.setVisible(not adc_mode)
+        self._adc_radar_settings_panel.setVisible(adc_mode)
+
+    def _sync_adc_settings_controls(self) -> None:
+        """Enable optical-board controls according to enabled flag and mode."""
+        if not hasattr(self, "_optical_enabled_checkbox"):
+            return
+        enabled = bool(self._optical_enabled_checkbox.isChecked())
+        mode = self._optical_mode_combo.currentText()
+        common_widgets = [
+            self._optical_port_input,
+            self._optical_mode_combo,
+            self._optical_pi_coeff1_p_input,
+            self._optical_pi_coeff1_i_input,
+            self._optical_pi_coeff2_p_input,
+            self._optical_pi_coeff2_i_input,
+        ]
+        manual_widgets = [
+            self._optical_manual_temp1_input,
+            self._optical_manual_temp2_input,
+            self._optical_manual_current1_input,
+            self._optical_manual_current2_input,
+        ]
+        variation_widgets = [
+            self._optical_variation_type_combo,
+            self._optical_static_temp1_input,
+            self._optical_static_temp2_input,
+            self._optical_static_current1_input,
+            self._optical_static_current2_input,
+            self._optical_min_value_input,
+            self._optical_max_value_input,
+            self._optical_step_input,
+            self._optical_time_step_input,
+            self._optical_delay_time_input,
+        ]
+        for widget in common_widgets:
+            widget.setEnabled(enabled)
+        for widget in manual_widgets:
+            widget.setEnabled(enabled and mode == "manual")
+        for widget in variation_widgets:
+            widget.setEnabled(enabled and mode == "variation")
+        self._optical_manual_panel.setVisible(mode == "manual")
+        self._optical_variation_panel.setVisible(mode == "variation")
+
     def _apply_history_limit_from_config(self, config) -> None:
         """Resize in-memory history buffers to match the loaded config."""
         history_limit = self._history_limit_for_config(config)
@@ -101,12 +147,17 @@ class AppWindowConfigProfileIOMixin:
             self._defaults_config = profile.run_config.clone()
             self._gui_defaults = profile.gui
             self._remember_active_profile_path(output_path)
+            points_text = (
+                "points=from Kamil ADC stream"
+                if profile.run_config.is_kamil_adc
+                else f"points={profile.run_config.radar.sweep.points}"
+            )
             self._log(
                 f"Config profile saved: path={output_path}, "
                 f"combos={len(profile.run_config.combos)}, "
                 f"sweep={profile.run_config.radar.sweep.start_hz:g}.."
                 f"{profile.run_config.radar.sweep.stop_hz:g} Hz, "
-                f"points={profile.run_config.radar.sweep.points}, "
+                f"{points_text}, "
                 f"ifbw={profile.run_config.radar.sweep.if_bandwidth_hz:g} Hz, "
                 f"power={profile.run_config.radar.sweep.power_dbm:g} dBm, "
                 f"processing_mode={profile.gui.processing.selected_mode}"
@@ -203,6 +254,9 @@ class AppWindowConfigProfileIOMixin:
             self._gpr_max_depth_m,
             self._gpr_range_comp_power,
             self._gpr_angle_comp_power,
+            self._gpr_score_mode,
+            self._gpr_max_detected_objects_to_draw,
+            self._gpr_draw_top_m_objects,
             self._gpr_start_freq_mhz,
             self._gpr_stop_freq_mhz,
             self._gpr_background_subtract_enabled,
@@ -225,6 +279,7 @@ class AppWindowConfigProfileIOMixin:
             self._legacy_gpr_start_freq_mhz,
             self._legacy_gpr_stop_freq_mhz,
             self._legacy_gpr_speed_m_s,
+            self._legacy_gpr_ignore_socket_speed_enabled,
             self._legacy_gpr_look_angle_deg,
             self._legacy_gpr_background_subtract_enabled,
             self._legacy_gpr_background_mean_count,
@@ -237,6 +292,35 @@ class AppWindowConfigProfileIOMixin:
             self._save_count,
             self._save_path_input,
             self._save_name_input,
+            self._adc_project_dir_input,
+            self._adc_executable_path_input,
+            self._adc_tty_path_input,
+            self._adc_args_input,
+            self._adc_env_input,
+            self._adc_startup_timeout_s_input,
+            self._adc_sweep_timeout_s_input,
+            self._adc_stop_timeout_s_input,
+            self._optical_enabled_checkbox,
+            self._optical_port_input,
+            self._optical_mode_combo,
+            self._optical_pi_coeff1_p_input,
+            self._optical_pi_coeff1_i_input,
+            self._optical_pi_coeff2_p_input,
+            self._optical_pi_coeff2_i_input,
+            self._optical_manual_temp1_input,
+            self._optical_manual_temp2_input,
+            self._optical_manual_current1_input,
+            self._optical_manual_current2_input,
+            self._optical_variation_type_combo,
+            self._optical_static_temp1_input,
+            self._optical_static_temp2_input,
+            self._optical_static_current1_input,
+            self._optical_static_current2_input,
+            self._optical_min_value_input,
+            self._optical_max_value_input,
+            self._optical_step_input,
+            self._optical_time_step_input,
+            self._optical_delay_time_input,
         )
 
         with ExitStack() as blockers:
@@ -249,6 +333,42 @@ class AppWindowConfigProfileIOMixin:
             self._ifbw_input.setText(f"{config.radar.sweep.if_bandwidth_hz:g}")
             self._power_input.setText(f"{config.radar.sweep.power_dbm:g}")
             self._settling_ms.setText(str(int(config.runtime.settling_ms)))
+            self._set_radar_settings_mode(config.is_kamil_adc)
+
+            adc = config.radar.kamil_adc
+            optical = config.radar.laser_control
+            manual = optical.manual
+            variation = optical.variation
+            self._adc_project_dir_input.setText(str(adc.project_dir))
+            self._adc_executable_path_input.setText(str(adc.executable_path))
+            self._adc_tty_path_input.setText(str(adc.tty_path))
+            self._adc_args_input.setPlainText("\n".join(adc.args))
+            self._adc_env_input.setPlainText(json.dumps(adc.env, indent=2, sort_keys=True) if adc.env else "{}")
+            self._adc_startup_timeout_s_input.setText(f"{float(adc.startup_timeout_s):g}")
+            self._adc_sweep_timeout_s_input.setText(f"{float(adc.sweep_timeout_s):g}")
+            self._adc_stop_timeout_s_input.setText(f"{float(adc.stop_timeout_s):g}")
+            self._optical_enabled_checkbox.setChecked(bool(optical.enabled))
+            self._optical_port_input.setText(str(optical.port))
+            self._set_combo_current_text(self._optical_mode_combo, str(optical.mode))
+            self._optical_pi_coeff1_p_input.setText(str(int(optical.pi_coeff1_p)))
+            self._optical_pi_coeff1_i_input.setText(str(int(optical.pi_coeff1_i)))
+            self._optical_pi_coeff2_p_input.setText(str(int(optical.pi_coeff2_p)))
+            self._optical_pi_coeff2_i_input.setText(str(int(optical.pi_coeff2_i)))
+            self._optical_manual_temp1_input.setText(f"{float(manual.temp1):g}")
+            self._optical_manual_temp2_input.setText(f"{float(manual.temp2):g}")
+            self._optical_manual_current1_input.setText(f"{float(manual.current1):g}")
+            self._optical_manual_current2_input.setText(f"{float(manual.current2):g}")
+            self._set_combo_current_text(self._optical_variation_type_combo, str(variation.variation_type))
+            self._optical_static_temp1_input.setText(f"{float(variation.static_temp1):g}")
+            self._optical_static_temp2_input.setText(f"{float(variation.static_temp2):g}")
+            self._optical_static_current1_input.setText(f"{float(variation.static_current1):g}")
+            self._optical_static_current2_input.setText(f"{float(variation.static_current2):g}")
+            self._optical_min_value_input.setText(f"{float(variation.min_value):g}")
+            self._optical_max_value_input.setText(f"{float(variation.max_value):g}")
+            self._optical_step_input.setText(f"{float(variation.step):g}")
+            self._optical_time_step_input.setText(str(int(variation.time_step)))
+            self._optical_delay_time_input.setText(str(int(variation.delay_time)))
+            self._sync_adc_settings_controls()
 
             self._combos_text.setText(str(gui_state.switches.combos_text))
             self._single_combo_output.setText(str(gui_state.switches.single_output))
@@ -289,6 +409,11 @@ class AppWindowConfigProfileIOMixin:
             self._gpr_max_depth_m.setValue(float(gui_state.processing.gpr.max_depth_m))
             self._gpr_range_comp_power.setValue(float(gui_state.processing.gpr.range_comp_power))
             self._gpr_angle_comp_power.setValue(float(gui_state.processing.gpr.angle_comp_power))
+            self._set_combo_current_text(self._gpr_score_mode, gui_state.processing.gpr.score_mode)
+            self._gpr_max_detected_objects_to_draw.setValue(
+                int(gui_state.processing.gpr.max_detected_objects_to_draw)
+            )
+            self._gpr_draw_top_m_objects.setValue(int(gui_state.processing.gpr.draw_top_m_objects))
             self._gpr_start_freq_mhz.setValue(float(gui_state.processing.gpr.start_freq_mhz))
             self._gpr_stop_freq_mhz.setValue(float(gui_state.processing.gpr.stop_freq_mhz))
             self._gpr_background_subtract_enabled.setChecked(
@@ -316,6 +441,9 @@ class AppWindowConfigProfileIOMixin:
             self._legacy_gpr_start_freq_mhz.setValue(float(gui_state.processing.legacy_gpr.start_freq_mhz))
             self._legacy_gpr_stop_freq_mhz.setValue(float(gui_state.processing.legacy_gpr.stop_freq_mhz))
             self._legacy_gpr_speed_m_s.setValue(float(gui_state.processing.legacy_gpr.speed_m_s))
+            self._legacy_gpr_ignore_socket_speed_enabled.setChecked(
+                bool(gui_state.processing.legacy_gpr.ignore_socket_speed_enabled)
+            )
             self._legacy_gpr_look_angle_deg.setValue(float(gui_state.processing.legacy_gpr.look_angle_deg))
             self._legacy_gpr_background_subtract_enabled.setChecked(
                 bool(gui_state.processing.legacy_gpr.background_subtract_enabled)

python_app/gui/controllers/app_window_config/state_builders.py

@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+import json
+
 from python_app.models.gui_profile_model import (
     GuiBscanStateModel,
     GuiDataActionsStateModel,
@@ -42,6 +44,27 @@ class AppWindowConfigStateBuildersMixin:
             values.append(int(token))
         return values
 
+    @staticmethod
+    def _parse_multiline_string_list(text: str) -> list[str]:
+        """Parse one command argument per non-empty line."""
+        return [line.strip() for line in text.splitlines() if line.strip()]
+
+    @staticmethod
+    def _parse_string_env_json(text: str) -> dict[str, str]:
+        """Parse strict string-to-string environment JSON."""
+        cleaned = text.strip()
+        if not cleaned:
+            return {}
+        payload = json.loads(cleaned)
+        if not isinstance(payload, dict):
+            raise ValueError("Environment JSON must be an object")
+        env: dict[str, str] = {}
+        for key, value in payload.items():
+            if not isinstance(key, str) or not isinstance(value, str):
+                raise ValueError("Environment JSON must contain only string keys and values")
+            env[key] = value
+        return env
+
     @staticmethod
     def _parse_gpr_tx_geometry_text(text: str) -> list[GprTxGeometryModel]:
         """Parse line-based Tx geometry editor text."""
@@ -172,6 +195,9 @@ class AppWindowConfigStateBuildersMixin:
                     max_depth_m=14.0,
                     range_comp_power=0.28,
                     angle_comp_power=0.10,
+                    score_mode="combined",
+                    max_detected_objects_to_draw=5,
+                    draw_top_m_objects=2,
                     start_freq_mhz=3000.0,
                     stop_freq_mhz=6000.0,
                     background_subtract_enabled=True,
@@ -193,6 +219,7 @@ class AppWindowConfigStateBuildersMixin:
                     start_freq_mhz=3000.0,
                     stop_freq_mhz=6000.0,
                     speed_m_s=0.0,
+                    ignore_socket_speed_enabled=False,
                     look_angle_deg=0.0,
                     snr_thresh=4.5,
                     snr_comp_max=25.0,
@@ -280,6 +307,9 @@ class AppWindowConfigStateBuildersMixin:
                     max_depth_m=float(self._gpr_max_depth_m.value()),
                     range_comp_power=float(self._gpr_range_comp_power.value()),
                     angle_comp_power=float(self._gpr_angle_comp_power.value()),
+                    score_mode=self._gpr_score_mode.currentText(),
+                    max_detected_objects_to_draw=int(self._gpr_max_detected_objects_to_draw.value()),
+                    draw_top_m_objects=int(self._gpr_draw_top_m_objects.value()),
                     start_freq_mhz=float(self._gpr_start_freq_mhz.value()),
                     stop_freq_mhz=float(self._gpr_stop_freq_mhz.value()),
                     background_subtract_enabled=bool(self._gpr_background_subtract_enabled.isChecked()),
@@ -302,6 +332,7 @@ class AppWindowConfigStateBuildersMixin:
                     start_freq_mhz=float(self._legacy_gpr_start_freq_mhz.value()),
                     stop_freq_mhz=float(self._legacy_gpr_stop_freq_mhz.value()),
                     speed_m_s=float(self._legacy_gpr_speed_m_s.value()),
+                    ignore_socket_speed_enabled=bool(self._legacy_gpr_ignore_socket_speed_enabled.isChecked()),
                     look_angle_deg=float(self._legacy_gpr_look_angle_deg.value()),
                     snr_thresh=float(self._legacy_gpr_snr_thresh.value()),
                     snr_comp_max=float(self._legacy_gpr_snr_comp_max.value()),
@@ -343,6 +374,8 @@ class AppWindowConfigStateBuildersMixin:
         config.radar.sweep.points = int(self._points_input.text().strip())
         config.radar.sweep.if_bandwidth_hz = float(self._ifbw_input.text().strip())
         config.radar.sweep.power_dbm = float(self._power_input.text().strip())
+        if config.is_kamil_adc:
+            self._apply_adc_settings_to_config(config)
 
         config.runtime.settling_ms = int(self._settling_ms.text().strip())
         config.runtime.processing_live_config_path = str(self._live_config_writer.path)
@@ -396,6 +429,16 @@ class AppWindowConfigStateBuildersMixin:
     def _radar_key_from_ui(self) -> str:
         """Build current radar key directly from radar widgets only."""
         model_name = self._defaults_config.radar.model or RunConfigModel.LIBREVNA_MODEL
+        extra_parts = self._defaults_config.radar_key_extra_parts()
+        if self._defaults_config.is_kamil_adc:
+            config = self._defaults_config.clone()
+            config.radar.sweep.start_hz = float(self._start_hz_input.text().strip())
+            config.radar.sweep.stop_hz = float(self._stop_hz_input.text().strip())
+            config.radar.sweep.points = int(self._points_input.text().strip())
+            config.radar.sweep.if_bandwidth_hz = float(self._ifbw_input.text().strip())
+            config.radar.sweep.power_dbm = float(self._power_input.text().strip())
+            self._apply_adc_settings_to_config(config)
+            extra_parts = config.radar_key_extra_parts()
         return radar_key_from_config(
             model_name=model_name,
             serial=self._defaults_config.radar.serial,
@@ -404,9 +447,46 @@ class AppWindowConfigStateBuildersMixin:
             sweep_points=int(self._points_input.text().strip()),
             ifbw_hz=float(self._ifbw_input.text().strip()),
             power_dbm=float(self._power_input.text().strip()),
-            extra_serials=self._defaults_config.radar_key_extra_parts() or None,
+            extra_serials=extra_parts or None,
         )
 
+    def _apply_adc_settings_to_config(self, config: RunConfigModel) -> None:
+        """Copy visible ADC collector and optical-board settings into config."""
+        adc = config.radar.kamil_adc
+        adc.project_dir = self._adc_project_dir_input.text().strip()
+        adc.executable_path = self._adc_executable_path_input.text().strip()
+        adc.tty_path = self._adc_tty_path_input.text().strip()
+        adc.args = self._parse_multiline_string_list(self._adc_args_input.toPlainText())
+        adc.env = self._parse_string_env_json(self._adc_env_input.toPlainText())
+        adc.startup_timeout_s = float(self._adc_startup_timeout_s_input.text().strip())
+        adc.sweep_timeout_s = float(self._adc_sweep_timeout_s_input.text().strip())
+        adc.stop_timeout_s = float(self._adc_stop_timeout_s_input.text().strip())
+
+        optical = config.radar.laser_control
+        optical.enabled = bool(self._optical_enabled_checkbox.isChecked())
+        optical.port = self._optical_port_input.text().strip()
+        optical.mode = self._optical_mode_combo.currentText()
+        optical.pi_coeff1_p = int(self._optical_pi_coeff1_p_input.text().strip())
+        optical.pi_coeff1_i = int(self._optical_pi_coeff1_i_input.text().strip())
+        optical.pi_coeff2_p = int(self._optical_pi_coeff2_p_input.text().strip())
+        optical.pi_coeff2_i = int(self._optical_pi_coeff2_i_input.text().strip())
+
+        optical.manual.temp1 = float(self._optical_manual_temp1_input.text().strip())
+        optical.manual.temp2 = float(self._optical_manual_temp2_input.text().strip())
+        optical.manual.current1 = float(self._optical_manual_current1_input.text().strip())
+        optical.manual.current2 = float(self._optical_manual_current2_input.text().strip())
+
+        optical.variation.variation_type = self._optical_variation_type_combo.currentText()
+        optical.variation.static_temp1 = float(self._optical_static_temp1_input.text().strip())
+        optical.variation.static_temp2 = float(self._optical_static_temp2_input.text().strip())
+        optical.variation.static_current1 = float(self._optical_static_current1_input.text().strip())
+        optical.variation.static_current2 = float(self._optical_static_current2_input.text().strip())
+        optical.variation.min_value = float(self._optical_min_value_input.text().strip())
+        optical.variation.max_value = float(self._optical_max_value_input.text().strip())
+        optical.variation.step = float(self._optical_step_input.text().strip())
+        optical.variation.time_step = int(self._optical_time_step_input.text().strip())
+        optical.variation.delay_time = int(self._optical_delay_time_input.text().strip())
+
     @staticmethod
     def _switches_are_effectively_static(config: RunConfigModel) -> bool:
         """Return `True` when non-GPR switch setup effectively yields one fixed combo."""

python_app/gui/controllers/app_window_pipeline_mixin.py

@@ -8,6 +8,7 @@ from PyQt6.QtCore import QSignalBlocker
 
 from python_app.gui.runtime.constraints import validate_processing_mode_constraints
 from python_app.gui.runtime.history import build_run_history_signature, record_result_history
+from python_app.hardware_full.kamil_adc_service import apply_kamil_adc_laser_control
 from python_app.hardware_full.single_radar_service import create_single_radar_service
 from python_app.models.dataset_model import ComboKey, ResultCollection, SweepCollection
 from python_app.models.run_config_model import RunConfigModel
@@ -86,7 +87,7 @@ class AppWindowPipelineMixin:
             self._config_writer.prepare_preprocess_bundles(self._store, radar_key, config)
             config.runtime.continuous = not single_capture
 
-            if not single_capture:
+            if not single_capture and not config.is_kamil_adc:
                 self._prepare_radar_for_native_acquisition(config)
 
             config_path = self._config_writer.write(config, self._project_root / "python_app/runtime/run_config.json")
@@ -168,11 +169,16 @@ class AppWindowPipelineMixin:
                     "matches the current config"
                 )
             self._prepare_radar_for_native_acquisition(config)
+            points_text = (
+                "points=from Kamil ADC stream"
+                if config.is_kamil_adc
+                else f"points={config.radar.sweep.points}"
+            )
             self._log(
                 "Radar settings applied: "
                 f"start={config.radar.sweep.start_hz:g} Hz, "
                 f"stop={config.radar.sweep.stop_hz:g} Hz, "
-                f"points={config.radar.sweep.points}, "
+                f"{points_text}, "
                 f"ifbw={config.radar.sweep.if_bandwidth_hz:g} Hz, "
                 f"power={config.radar.sweep.power_dbm:g} dBm"
             )
@@ -193,7 +199,10 @@ class AppWindowPipelineMixin:
             self._log("Multi-device raw producer will configure all LibreVNA devices")
             return
         if config.is_kamil_adc:
-            self._log("Kamil ADC raw producer will apply laser_control and start the external collector")
+            if apply_kamil_adc_laser_control(config):
+                self._log("Kamil ADC laser_control applied via Apply Radar")
+            else:
+                self._log("Kamil ADC laser_control skipped because it is disabled")
             return
 
         radar_service = create_single_radar_service(config)
@@ -272,6 +281,7 @@ class AppWindowPipelineMixin:
 
         try:
             self._drain_locator_speed_updates()
+            self._drain_locator_log_updates()
             if self._raw_reader is not None:
                 self._read_all_raw()
             self._read_all_preprocessed()
@@ -483,6 +493,8 @@ class AppWindowPipelineMixin:
             return
         if self._processing_mode.currentText() != "legacy_gpr":
             return
+        if self._legacy_gpr_ignore_socket_speed_enabled.isChecked():
+            return
 
         previous_speed_m_s = float(self._legacy_gpr_speed_m_s.value())
         with QSignalBlocker(self._legacy_gpr_speed_m_s):
@@ -491,7 +503,14 @@ class AppWindowPipelineMixin:
         if current_speed_m_s == previous_speed_m_s:
             return
 
-        self._write_live_processing_config()
+        self._write_live_processing_config(reprocess_current_result=False)
+
+    def _drain_locator_log_updates(self) -> None:
+        """Append queued locator socket traffic messages to the runtime log."""
+        if self._locator_service is None:
+            return
+        for message in self._locator_service.drain_log_updates():
+            self._log(message)
 
     def _publish_locator_snapshot_from_collection(self, collection: ResultCollection) -> None:
         """Publish one locator snapshot from a GPR result collection."""
@@ -501,6 +520,7 @@ class AppWindowPipelineMixin:
             collection,
             self._gpr_locator_threshold(),
             visible_bounds=self._gpr_visible_object_bounds(),
+            object_draw_limits=self._gpr_draw_limits(),
         )
 
     def _publish_locator_snapshot_from_latest_result(self) -> None:

python_app/gui/controllers/app_window_plot/gpr_plot_mixin.py

@@ -254,7 +254,15 @@ class AppWindowGprPlotMixin:
 
             points_payload = self._collection_payload_by_name(collection, "gpr_points", kind=4)
             if points_payload is not None and np.asarray(points_payload.table).size > 0:
-                points = np.asarray(points_payload.table, dtype=np.float32)
+                points = (
+                    self._filtered_gpr_object_rows(collection)
+                    if self._processing_mode.currentText() == "gpr"
+                    else np.asarray(points_payload.table, dtype=np.float32)
+                )
+            else:
+                points = np.zeros((0, 3), dtype=np.float32)
+
+            if points.size > 0:
                 self._gpr_points_item.setData(
                     x=points[:, 0],
                     y=points[:, 1],
@@ -368,6 +376,26 @@ class AppWindowGprPlotMixin:
             return float(self._legacy_gpr_min_visible_pair_count.value())
         return float(self._gpr_min_visible_score.value())
 
+    def _gpr_draw_limits(self) -> tuple[int, int] | None:
+        """Return GPR object draw limits, or None for legacy GPR."""
+        if self._processing_mode.currentText() == "legacy_gpr":
+            return None
+        return (
+            int(self._gpr_max_detected_objects_to_draw.value()),
+            int(self._gpr_draw_top_m_objects.value()),
+        )
+
+    @staticmethod
+    def _apply_object_draw_limits(rows: np.ndarray, limits: tuple[int, int] | None) -> np.ndarray:
+        """Apply object count/top-M drawing rules to already-filtered rows."""
+        if limits is None or rows.size == 0:
+            return rows
+
+        max_detected_objects, draw_top_objects = limits
+        if rows.shape[0] > int(max_detected_objects):
+            return np.zeros((0, rows.shape[1]), dtype=rows.dtype)
+        return rows[: max(0, int(draw_top_objects))]
+
     @staticmethod
     def _gpr_display_y_min(z_min: float, z_max: float) -> float:
         """Return lower display bound, preserving surface markers only when surface is visible."""
@@ -483,7 +511,7 @@ class AppWindowGprPlotMixin:
         return extract_gpr_object_rows(collection)
 
     def _filtered_gpr_object_rows(self, collection: ResultCollection) -> np.ndarray:
-        """Return object rows filtered by minimum pair count and visible X/Z bounds."""
+        """Return object rows filtered by threshold, visible X/Z bounds, and active GPR draw limits."""
         rows = self._gpr_object_rows(collection)
         if rows.size == 0:
             return rows
@@ -499,7 +527,7 @@ class AppWindowGprPlotMixin:
             & (rows[:, 1] >= z_min)
             & (rows[:, 1] <= z_max)
         )
-        return rows[visible_mask]
+        return self._apply_object_draw_limits(rows[visible_mask], self._gpr_draw_limits())
 
     def _draw_gpr_objects_only(self, collection: ResultCollection) -> bool:
         """Draw only detected GPR objects inside configured X/Z bounds."""

python_app/gui/controllers/app_window_preprocess_mixin.py

@@ -3,12 +3,14 @@
 from __future__ import annotations
 
 from python_app.gui.preprocess_dialog import PreprocessDialog
+from python_app.hardware_full.kamil_adc_service import KamilAdcService
 from python_app.orchestration.preprocess_assets import (
     PREPROCESS_ASSET_SPECS,
     VISIBLE_PREPROCESS_ASSET_KEYS,
     preprocess_asset_channel,
     preprocess_asset_display_name,
 )
+from python_app.workflows.kamil_adc_neutral_preprocess import build_kamil_adc_neutral_s21_sets
 from python_app.workflows.multi_radar_capture_workflow import (
     MultiRadarCaptureBatch,
     MultiRadarSequentialCaptureSession,
@@ -185,6 +187,8 @@ class AppWindowPreprocessMixin:
         dialog.undo_last_requested.connect(self._undo_last_capture)
         dialog.finalize_sequence_requested.connect(self._finalize_capture_sequence)
         dialog.abort_sequence_requested.connect(self._abort_capture_sequence)
+        dialog.create_kamil_adc_neutral_sets_requested.connect(self._create_kamil_adc_neutral_sets)
+        dialog.set_kamil_adc_neutral_sets_visible(self._defaults_config.is_kamil_adc)
         dialog.set_radar_config_summary(
             directory_path=self._preprocess_radar_scan_summary.directory_path,
             json_file_count=self._preprocess_radar_scan_summary.json_file_count,
@@ -254,6 +258,7 @@ class AppWindowPreprocessMixin:
             f"{preprocess_asset_display_name(key)}={len(names)}"
             for key, names in available_sets.items()
         )
+        dialog.set_kamil_adc_neutral_sets_visible(self._defaults_config.is_kamil_adc)
         self._log(f"Preprocess set lists refreshed: radar_key={radar_key}, {available_counts}")
         if unavailable_selections:
             self._log_warning(
@@ -338,6 +343,88 @@ class AppWindowPreprocessMixin:
             self._show_exception(f"Failed to start {kind} sequence", exc)
             self._resume_pipeline_if_needed()
 
+    def _create_kamil_adc_neutral_sets(self) -> None:
+        """Save neutral S21 calibration/reference sets for the current Kamil ADC settings."""
+        if self._capture_session is not None:
+            self._show_error(
+                "Cannot create neutral sets during active capture sequence",
+                details=self._capture_state_details(),
+            )
+            return
+
+        dialog = self._ensure_preprocess_dialog()
+        set_name = dialog.set_name()
+        if not set_name:
+            self._show_error("Set name is required")
+            return
+
+        pipeline_was_paused = False
+        try:
+            config = self._build_config()
+            if not config.is_kamil_adc:
+                self._show_error("Neutral S21 sets are available only for kamil_adc")
+                return
+
+            radar_key = self._radar_key(config)
+            duplicate_assets = [
+                preprocess_asset_display_name(key)
+                for key in ("s21_calibration", "s21_reference")
+                if set_name in self._store.list_sets(PREPROCESS_ASSET_SPECS[key].set_kind, radar_key)
+            ]
+            if duplicate_assets:
+                raise RuntimeError(
+                    f"Set '{set_name}' already exists for: " + ", ".join(duplicate_assets)
+                )
+
+            if self._supervisor.is_running():
+                self._log("Pipeline paused for Kamil ADC neutral-set creation")
+                self._stop_run()
+                pipeline_was_paused = True
+
+            point_count = self._read_kamil_adc_point_count(config)
+            calibration, reference = build_kamil_adc_neutral_s21_sets(config, point_count)
+            self._store.save_set("s21_calibration", radar_key, set_name, calibration)
+            self._store.save_set("s21_reference", radar_key, set_name, reference)
+
+            self._selected_preprocess_sets["s21_calibration"] = set_name
+            self._selected_preprocess_sets["s21_reference"] = set_name
+            self._selected_preprocess_radar_key = radar_key
+            self._processor_run_signature = None
+            self._history_run_signature = None
+            self._reset_runtime_history()
+            self._refresh_sets()
+            dialog.set_status(
+                f"Neutral S21 sets saved: {set_name} ({len(calibration.traces)} combos, {point_count} points)"
+            )
+            self._log(
+                "Kamil ADC neutral S21 sets saved: "
+                f"set={set_name}, radar_key={radar_key}, combos={len(calibration.traces)}, points={point_count}"
+            )
+        except Exception as exc:  # noqa: BLE001
+            self._show_exception("Failed to create Kamil ADC neutral sets", exc)
+        finally:
+            if pipeline_was_paused:
+                self._start_run()
+
+    def _read_kamil_adc_point_count(self, config) -> int:
+        """Read one Kamil ADC sweep and return its actual point count."""
+        dialog = self._ensure_preprocess_dialog()
+        dialog.set_status("Reading one Kamil ADC sweep to detect point count...")
+        self._log("Reading one Kamil ADC sweep to detect neutral-set point count")
+
+        radar = KamilAdcService(config)
+        try:
+            radar.open()
+            radar.configure(config.radar.sweep)
+            sweep = radar.acquire()
+        finally:
+            radar.close()
+
+        point_count = int(sweep.x.size)
+        if point_count <= 0:
+            raise RuntimeError("Kamil ADC returned an empty sweep while detecting point count")
+        return point_count
+
     def _build_single_radar_capture_session(
         self,
         *,

python_app/gui/controllers/sections/processing_section.py

@@ -209,6 +209,18 @@ def build_processing_group(owner) -> QGroupBox:
     owner._gpr_angle_comp_power.setSingleStep(0.01)
     owner._gpr_angle_comp_power.setValue(float(gpr_live_defaults.angle_comp_power))
 
+    owner._gpr_score_mode = QComboBox()
+    owner._gpr_score_mode.addItems(["peak", "combined"])
+    owner._set_combo_current_text(owner._gpr_score_mode, gpr_live_defaults.score_mode)
+
+    owner._gpr_max_detected_objects_to_draw = QSpinBox()
+    owner._gpr_max_detected_objects_to_draw.setRange(0, 10_000)
+    owner._gpr_max_detected_objects_to_draw.setValue(int(gpr_live_defaults.max_detected_objects_to_draw))
+
+    owner._gpr_draw_top_m_objects = QSpinBox()
+    owner._gpr_draw_top_m_objects.setRange(0, 10_000)
+    owner._gpr_draw_top_m_objects.setValue(int(gpr_live_defaults.draw_top_m_objects))
+
     owner._gpr_start_freq_mhz = QDoubleSpinBox()
     owner._gpr_start_freq_mhz.setDecimals(1)
     owner._gpr_start_freq_mhz.setRange(100.0, 8800.0)
@@ -274,8 +286,11 @@ def build_processing_group(owner) -> QGroupBox:
             ("Max depth m", owner._gpr_max_depth_m),
             ("Range comp power", owner._gpr_range_comp_power),
             ("Angle comp power", owner._gpr_angle_comp_power),
+            ("Score mode", owner._gpr_score_mode),
             ("Render mode", owner._gpr_render_mode),
             ("Min visible score", owner._gpr_min_visible_score),
+            ("Max detected objects", owner._gpr_max_detected_objects_to_draw),
+            ("Draw top M objects", owner._gpr_draw_top_m_objects),
             ("Start MHz", owner._gpr_start_freq_mhz),
             ("Stop MHz", owner._gpr_stop_freq_mhz),
             ("Visible X min m", owner._gpr_visible_x_min_m),
@@ -348,6 +363,11 @@ def build_processing_group(owner) -> QGroupBox:
     owner._legacy_gpr_speed_m_s.setSingleStep(0.01)
     owner._legacy_gpr_speed_m_s.setValue(float(legacy_gpr_defaults.speed_m_s))
 
+    owner._legacy_gpr_ignore_socket_speed_enabled = QCheckBox("Ignore socket speed")
+    owner._legacy_gpr_ignore_socket_speed_enabled.setChecked(
+        bool(legacy_gpr_defaults.ignore_socket_speed_enabled)
+    )
+
     owner._legacy_gpr_look_angle_deg = QDoubleSpinBox()
     owner._legacy_gpr_look_angle_deg.setDecimals(2)
     owner._legacy_gpr_look_angle_deg.setRange(-90.0, 90.0)
@@ -405,6 +425,7 @@ def build_processing_group(owner) -> QGroupBox:
             ("SNR thresh", owner._legacy_gpr_snr_thresh),
             ("SNR comp max", owner._legacy_gpr_snr_comp_max),
             ("Speed m/s", owner._legacy_gpr_speed_m_s),
+            owner._legacy_gpr_ignore_socket_speed_enabled,
             ("Render mode", owner._legacy_gpr_render_mode),
             ("Min visible pairs", owner._legacy_gpr_min_visible_pair_count),
             ("Start MHz", owner._legacy_gpr_start_freq_mhz),
@@ -445,6 +466,7 @@ def build_processing_group(owner) -> QGroupBox:
     owner._gpr_max_depth_m.valueChanged.connect(owner._on_processing_live_settings_changed)
     owner._gpr_range_comp_power.valueChanged.connect(owner._on_processing_live_settings_changed)
     owner._gpr_angle_comp_power.valueChanged.connect(owner._on_processing_live_settings_changed)
+    owner._gpr_score_mode.currentTextChanged.connect(owner._on_processing_live_settings_changed)
     owner._gpr_start_freq_mhz.valueChanged.connect(owner._on_processing_live_settings_changed)
     owner._gpr_stop_freq_mhz.valueChanged.connect(owner._on_processing_live_settings_changed)
     owner._gpr_background_subtract_enabled.toggled.connect(owner._on_processing_live_settings_changed)
@@ -452,6 +474,8 @@ def build_processing_group(owner) -> QGroupBox:
     owner._gpr_remove_sidelobe_objects_enabled.toggled.connect(owner._on_processing_live_settings_changed)
     owner._gpr_render_mode.currentTextChanged.connect(owner._on_gpr_visual_settings_changed)
     owner._gpr_min_visible_score.valueChanged.connect(owner._on_gpr_locator_threshold_changed)
+    owner._gpr_max_detected_objects_to_draw.valueChanged.connect(owner._on_gpr_locator_threshold_changed)
+    owner._gpr_draw_top_m_objects.valueChanged.connect(owner._on_gpr_locator_threshold_changed)
     owner._gpr_visible_x_min_m.valueChanged.connect(owner._on_gpr_locator_window_changed)
     owner._gpr_visible_x_max_m.valueChanged.connect(owner._on_gpr_locator_window_changed)
     owner._gpr_visible_z_min_m.valueChanged.connect(owner._on_gpr_locator_window_changed)

python_app/gui/controllers/sections/radar_section.py

@@ -2,7 +2,18 @@
 
 from __future__ import annotations
 
-from PyQt6.QtWidgets import QGroupBox, QLabel, QLineEdit, QVBoxLayout
+import json
+
+from PyQt6.QtWidgets import (
+    QCheckBox,
+    QComboBox,
+    QGroupBox,
+    QLabel,
+    QLineEdit,
+    QPlainTextEdit,
+    QVBoxLayout,
+    QWidget,
+)
 
 from python_app.gui.controllers.sections.layout_helpers import build_two_column_form_widget
 
@@ -15,6 +26,11 @@ def build_radar_group(owner) -> QGroupBox:
     layout.setSpacing(8)
     defaults = owner._defaults_config.radar
 
+    owner._vna_radar_settings_panel = QWidget(group)
+    vna_layout = QVBoxLayout(owner._vna_radar_settings_panel)
+    vna_layout.setContentsMargins(0, 0, 0, 0)
+    vna_layout.setSpacing(8)
+
     owner._start_hz_input = QLineEdit(f"{defaults.sweep.start_hz:g}")
     owner._stop_hz_input = QLineEdit(f"{defaults.sweep.stop_hz:g}")
     owner._points_input = QLineEdit(str(defaults.sweep.points))
@@ -36,7 +52,7 @@ def build_radar_group(owner) -> QGroupBox:
     owner._radar_limits_hint = QLabel("Device limits are not available.")
     owner._radar_limits_hint.setObjectName("hintLabel")
 
-    layout.addWidget(
+    vna_layout.addWidget(
         build_two_column_form_widget(
             group,
             [
@@ -48,5 +64,174 @@ def build_radar_group(owner) -> QGroupBox:
             ],
         )
     )
-    layout.addWidget(owner._radar_limits_hint)
+    vna_layout.addWidget(owner._radar_limits_hint)
+
+    owner._adc_radar_settings_panel = _build_adc_settings_panel(owner, group)
+
+    layout.addWidget(owner._vna_radar_settings_panel)
+    layout.addWidget(owner._adc_radar_settings_panel)
+    owner._set_radar_settings_mode(owner._defaults_config.is_kamil_adc)
     return group
+
+
+def _build_adc_settings_panel(owner, parent: QWidget) -> QWidget:
+    """Create controls for the external ADC collector and optical board."""
+    panel = QWidget(parent)
+    layout = QVBoxLayout(panel)
+    layout.setContentsMargins(0, 0, 0, 0)
+    layout.setSpacing(8)
+
+    adc = owner._defaults_config.radar.kamil_adc
+    optical = owner._defaults_config.radar.laser_control
+    manual = optical.manual
+    variation = optical.variation
+
+    owner._adc_project_dir_input = QLineEdit(adc.project_dir)
+    owner._adc_executable_path_input = QLineEdit(adc.executable_path)
+    owner._adc_tty_path_input = QLineEdit(adc.tty_path)
+    owner._adc_args_input = _plain_text("\n".join(adc.args))
+    owner._adc_env_input = _plain_text(json.dumps(adc.env, indent=2, sort_keys=True) if adc.env else "{}")
+    owner._adc_startup_timeout_s_input = QLineEdit(f"{adc.startup_timeout_s:g}")
+    owner._adc_sweep_timeout_s_input = QLineEdit(f"{adc.sweep_timeout_s:g}")
+    owner._adc_stop_timeout_s_input = QLineEdit(f"{adc.stop_timeout_s:g}")
+
+    owner._optical_enabled_checkbox = QCheckBox()
+    owner._optical_enabled_checkbox.setChecked(bool(optical.enabled))
+    owner._optical_port_input = QLineEdit(optical.port)
+    owner._optical_mode_combo = QComboBox()
+    owner._optical_mode_combo.addItems(["manual", "variation"])
+    owner._set_combo_current_text(owner._optical_mode_combo, optical.mode)
+    owner._optical_pi_coeff1_p_input = QLineEdit(str(optical.pi_coeff1_p))
+    owner._optical_pi_coeff1_i_input = QLineEdit(str(optical.pi_coeff1_i))
+    owner._optical_pi_coeff2_p_input = QLineEdit(str(optical.pi_coeff2_p))
+    owner._optical_pi_coeff2_i_input = QLineEdit(str(optical.pi_coeff2_i))
+
+    owner._optical_manual_temp1_input = QLineEdit(f"{manual.temp1:g}")
+    owner._optical_manual_temp2_input = QLineEdit(f"{manual.temp2:g}")
+    owner._optical_manual_current1_input = QLineEdit(f"{manual.current1:g}")
+    owner._optical_manual_current2_input = QLineEdit(f"{manual.current2:g}")
+
+    owner._optical_variation_type_combo = QComboBox()
+    owner._optical_variation_type_combo.addItems(
+        [
+            "CHANGE_CURRENT_LD1",
+            "CHANGE_CURRENT_LD2",
+            "CHANGE_TEMPERATURE_LD1",
+            "CHANGE_TEMPERATURE_LD2",
+        ]
+    )
+    owner._set_combo_current_text(owner._optical_variation_type_combo, variation.variation_type)
+    owner._optical_static_temp1_input = QLineEdit(f"{variation.static_temp1:g}")
+    owner._optical_static_temp2_input = QLineEdit(f"{variation.static_temp2:g}")
+    owner._optical_static_current1_input = QLineEdit(f"{variation.static_current1:g}")
+    owner._optical_static_current2_input = QLineEdit(f"{variation.static_current2:g}")
+    owner._optical_min_value_input = QLineEdit(f"{variation.min_value:g}")
+    owner._optical_max_value_input = QLineEdit(f"{variation.max_value:g}")
+    owner._optical_step_input = QLineEdit(f"{variation.step:g}")
+    owner._optical_time_step_input = QLineEdit(str(variation.time_step))
+    owner._optical_delay_time_input = QLineEdit(str(variation.delay_time))
+
+    layout.addWidget(
+        build_two_column_form_widget(
+            panel,
+            [
+                ("Project dir", owner._adc_project_dir_input),
+                ("Executable path", owner._adc_executable_path_input),
+                ("TTY path", owner._adc_tty_path_input),
+                ("Arguments", owner._adc_args_input),
+                ("Environment JSON", owner._adc_env_input),
+                ("Startup timeout s", owner._adc_startup_timeout_s_input),
+                ("Read timeout s", owner._adc_sweep_timeout_s_input),
+                ("Stop timeout s", owner._adc_stop_timeout_s_input),
+                ("Board enabled", owner._optical_enabled_checkbox),
+                ("Board port", owner._optical_port_input),
+                ("Board mode", owner._optical_mode_combo),
+                ("PI 1 P", owner._optical_pi_coeff1_p_input),
+                ("PI 1 I", owner._optical_pi_coeff1_i_input),
+                ("PI 2 P", owner._optical_pi_coeff2_p_input),
+                ("PI 2 I", owner._optical_pi_coeff2_i_input),
+            ],
+            split_index=8,
+        )
+    )
+
+    owner._optical_manual_panel = build_two_column_form_widget(
+        panel,
+        [
+            ("Temperature 1", owner._optical_manual_temp1_input),
+            ("Temperature 2", owner._optical_manual_temp2_input),
+            ("Current 1", owner._optical_manual_current1_input),
+            ("Current 2", owner._optical_manual_current2_input),
+        ],
+    )
+    owner._optical_variation_panel = build_two_column_form_widget(
+        panel,
+        [
+            ("Variation type", owner._optical_variation_type_combo),
+            ("Static temp 1", owner._optical_static_temp1_input),
+            ("Static temp 2", owner._optical_static_temp2_input),
+            ("Static current 1", owner._optical_static_current1_input),
+            ("Static current 2", owner._optical_static_current2_input),
+            ("Min value", owner._optical_min_value_input),
+            ("Max value", owner._optical_max_value_input),
+            ("Step", owner._optical_step_input),
+            ("Time step", owner._optical_time_step_input),
+            ("Delay time", owner._optical_delay_time_input),
+        ],
+        split_index=5,
+    )
+    layout.addWidget(owner._optical_manual_panel)
+    layout.addWidget(owner._optical_variation_panel)
+
+    _connect_adc_settings(owner)
+    owner._sync_adc_settings_controls()
+    return panel
+
+
+def _plain_text(text: str) -> QPlainTextEdit:
+    widget = QPlainTextEdit(text)
+    widget.setMaximumHeight(76)
+    return widget
+
+
+def _connect_adc_settings(owner) -> None:
+    text_widgets = [
+        owner._adc_project_dir_input,
+        owner._adc_executable_path_input,
+        owner._adc_tty_path_input,
+        owner._adc_startup_timeout_s_input,
+        owner._adc_sweep_timeout_s_input,
+        owner._adc_stop_timeout_s_input,
+        owner._optical_port_input,
+        owner._optical_pi_coeff1_p_input,
+        owner._optical_pi_coeff1_i_input,
+        owner._optical_pi_coeff2_p_input,
+        owner._optical_pi_coeff2_i_input,
+        owner._optical_manual_temp1_input,
+        owner._optical_manual_temp2_input,
+        owner._optical_manual_current1_input,
+        owner._optical_manual_current2_input,
+        owner._optical_static_temp1_input,
+        owner._optical_static_temp2_input,
+        owner._optical_static_current1_input,
+        owner._optical_static_current2_input,
+        owner._optical_min_value_input,
+        owner._optical_max_value_input,
+        owner._optical_step_input,
+        owner._optical_time_step_input,
+        owner._optical_delay_time_input,
+    ]
+    for widget in text_widgets:
+        widget.editingFinished.connect(owner._reset_preprocess_selection_after_radar_key_change)
+    owner._adc_args_input.textChanged.connect(owner._reset_preprocess_selection_after_radar_key_change)
+    owner._adc_env_input.textChanged.connect(owner._reset_preprocess_selection_after_radar_key_change)
+    owner._optical_variation_type_combo.currentTextChanged.connect(
+        owner._reset_preprocess_selection_after_radar_key_change
+    )
+
+    def sync_and_reset() -> None:
+        owner._sync_adc_settings_controls()
+        owner._reset_preprocess_selection_after_radar_key_change()
+
+    owner._optical_enabled_checkbox.toggled.connect(sync_and_reset)
+    owner._optical_mode_combo.currentTextChanged.connect(sync_and_reset)

python_app/gui/preprocess_dialog.py

@@ -44,6 +44,7 @@ class PreprocessDialog(QDialog):
     undo_last_requested = pyqtSignal()
     finalize_sequence_requested = pyqtSignal()
     abort_sequence_requested = pyqtSignal()
+    create_kamil_adc_neutral_sets_requested = pyqtSignal()
 
     def __init__(self, parent=None) -> None:
         """Initialize window metadata and compose dialog UI."""
@@ -88,8 +89,17 @@ class PreprocessDialog(QDialog):
         self._set_name_input = QLineEdit("set_001", group)
         refresh_button = QPushButton("Refresh Sets", group)
         refresh_button.clicked.connect(self.refresh_requested.emit)
+        self._kamil_adc_neutral_sets_button = QPushButton("Create Neutral S21 Sets", group)
+        self._kamil_adc_neutral_sets_button.setToolTip(
+            "Save S21 calibration=1 and S21 reference=0 for the current Kamil ADC settings."
+        )
+        self._kamil_adc_neutral_sets_button.clicked.connect(
+            self.create_kamil_adc_neutral_sets_requested.emit
+        )
+        self._kamil_adc_neutral_sets_button.setVisible(False)
         header_row.addWidget(QLabel("Set name"))
         header_row.addWidget(self._set_name_input, stretch=1)
+        header_row.addWidget(self._kamil_adc_neutral_sets_button)
         header_row.addWidget(refresh_button)
         layout.addLayout(header_row)
         layout.addWidget(self._build_radar_config_group(group))
@@ -369,6 +379,11 @@ class PreprocessDialog(QDialog):
         """Set short human-readable status line."""
         self._status_label.setText(message)
 
+    def set_kamil_adc_neutral_sets_visible(self, visible: bool) -> None:
+        """Show Kamil ADC neutral-set shortcut only in the matching radar mode."""
+        self._kamil_adc_neutral_sets_button.setVisible(bool(visible))
+        self._kamil_adc_neutral_sets_button.setEnabled(bool(visible))
+
     def reset_preview(self) -> None:
         """Clear preview surface and restore default empty-state text when possible."""
         if self._preview_plot is not None:

python_app/gui/runtime/history.py

@@ -65,6 +65,7 @@ def build_run_history_signature(
     """Build deterministic signature to detect run-settings changes (excluding live processing params)."""
     combos_signature = tuple((int(combo.input), int(combo.output)) for combo in config.combos)
     preprocess_signature = tuple(preprocess_asset_model(config, key).set_name for key in PREPROCESS_ASSET_KEYS)
+    sweep_points_signature: object = "adc" if config.is_kamil_adc else int(config.radar.sweep.points)
     return (
         str(config.radar.model),
         str(config.radar.driver_mode),
@@ -73,7 +74,7 @@ def build_run_history_signature(
         bool(config.radar.multi_device.force_external_reference),
         float(config.radar.sweep.start_hz),
         float(config.radar.sweep.stop_hz),
-        int(config.radar.sweep.points),
+        sweep_points_signature,
         float(config.radar.sweep.if_bandwidth_hz),
         float(config.radar.sweep.power_dbm),
         str(config.input_switch.driver_mode),

python_app/hardware_full/kamil_adc_service.py

@@ -10,10 +10,10 @@ import os
 from pathlib import Path
 import select
 import signal
+import stat
 import struct
 import subprocess
 import time
-from typing import Any
 
 import numpy as np
 
@@ -67,6 +67,7 @@ class KamilAdcTtyReader:
     tty_path: str
     _fd: int | None = field(init=False, default=None, repr=False)
     _buffer: bytearray = field(init=False, default_factory=bytearray, repr=False)
+    _packet_start_pending: bool = field(init=False, default=False, repr=False)
 
     def open(self) -> None:
         """Open the configured TTY path for binary reads."""
@@ -83,36 +84,67 @@ class KamilAdcTtyReader:
         finally:
             self._fd = None
             self._buffer.clear()
+            self._packet_start_pending = False
 
     def read_sweep(
         self,
         *,
-        points: int,
         timeout_s: float,
         process: subprocess.Popen[bytes] | None = None,
+        expected_points: int | None = None,
     ) -> np.ndarray:
-        """Read one packet-start marker followed by exactly `points` IQ frames."""
-        if points <= 0:
-            raise ValueError("Kamil ADC sweep points must be > 0")
-        if points > KAMIL_ADC_MAX_STEP:
-            raise ValueError(f"Kamil ADC sweep points must be <= {KAMIL_ADC_MAX_STEP}")
+        """Read one full packet, optionally discarding packets with an unexpected point count."""
         if self._fd is None:
             raise RuntimeError("Kamil ADC TTY reader is not open")
+        if expected_points is not None:
+            if expected_points <= 0:
+                raise ValueError("Kamil ADC expected points must be > 0")
+            if expected_points > KAMIL_ADC_MAX_STEP:
+                raise ValueError(f"Kamil ADC expected points must be <= {KAMIL_ADC_MAX_STEP}")
 
         deadline = time.monotonic() + float(timeout_s)
-        self._read_until_packet_start(deadline, process)
+        while True:
+            values = self._read_one_sweep(deadline, process)
+            if expected_points is None or int(values.size) == int(expected_points):
+                return values
+            logger.warning(
+                "Discarding Kamil ADC sweep with %d points; expected %d",
+                int(values.size),
+                int(expected_points),
+            )
 
-        values = np.empty(points, dtype=np.complex64)
-        for index in range(points):
-            frame = self._read_frame(deadline, process, received_points=index, expected_points=points)
-            values[index] = KamilAdcFrameParser.parse_point(frame, index + 1)
-        return values
+    def _read_one_sweep(
+        self,
+        deadline: float,
+        process: subprocess.Popen[bytes] | None,
+    ) -> np.ndarray:
+        """Read one packet from start marker to the next start marker."""
+        if self._packet_start_pending:
+            self._packet_start_pending = False
+        else:
+            self._read_until_packet_start(deadline, process)
+
+        values: list[complex] = []
+        expected_step = 1
+        while True:
+            frame = self._read_frame(deadline, process, received_points=len(values))
+            if KamilAdcFrameParser.is_packet_start(frame):
+                if not values:
+                    continue
+                self._packet_start_pending = True
+                return np.asarray(values, dtype=np.complex64)
+
+            if expected_step > KAMIL_ADC_MAX_STEP:
+                raise RuntimeError(f"Kamil ADC sweep exceeded {KAMIL_ADC_MAX_STEP} points without packet end")
+            values.append(KamilAdcFrameParser.parse_point(frame, expected_step))
+            expected_step += 1
 
     def discard_pending(self, process: subprocess.Popen[bytes] | None = None) -> None:
-        """Discard bytes already buffered before starting a new logical sweep."""
+        """Discard stale bytes while keeping the newest packet-start boundary."""
         if self._fd is None:
             raise RuntimeError("Kamil ADC TTY reader is not open")
         self._buffer.clear()
+        self._packet_start_pending = False
         fd = self._require_fd()
         while True:
             self._raise_if_process_exited(process)
@@ -132,6 +164,17 @@ class KamilAdcTtyReader:
                 raise RuntimeError(f"Failed to drain Kamil ADC TTY `{self.tty_path}`: {exc}") from exc
             if not chunk:
                 raise RuntimeError(f"Kamil ADC TTY `{self.tty_path}` closed while draining")
+            self._buffer.extend(chunk)
+            self._keep_latest_packet_start_tail()
+
+    def _keep_latest_packet_start_tail(self) -> None:
+        """Keep only bytes from the latest complete packet-start marker onward."""
+        start_index = self._buffer.rfind(_START_FRAME)
+        if start_index >= 0:
+            del self._buffer[:start_index]
+            return
+        if len(self._buffer) >= KAMIL_ADC_FRAME_BYTES:
+            del self._buffer[:-KAMIL_ADC_FRAME_BYTES + 1]
 
     def _read_until_packet_start(
         self,
@@ -153,7 +196,7 @@ class KamilAdcTtyReader:
         process: subprocess.Popen[bytes] | None,
         *,
         received_points: int,
-        expected_points: int,
+        expected_points: int | None = None,
     ) -> bytes:
         while len(self._buffer) < KAMIL_ADC_FRAME_BYTES:
             self._read_available(deadline, process, received_points, expected_points)
@@ -172,6 +215,10 @@ class KamilAdcTtyReader:
         remaining_s = deadline - time.monotonic()
         if remaining_s <= 0.0:
             if received_points is None or expected_points is None:
+                if received_points is not None:
+                    raise TimeoutError(
+                        f"Timed out waiting for Kamil ADC sweep end: received {received_points} points"
+                    )
                 raise TimeoutError("Timed out waiting for Kamil ADC packet-start marker")
             raise TimeoutError(
                 f"Timed out waiting for Kamil ADC sweep: received {received_points}/{expected_points} points"
@@ -214,15 +261,14 @@ class KamilAdcTtyReader:
 
 @dataclass(slots=True)
 class KamilAdcService:
-    """Launch `kamil_adc`, configure laser board, and acquire TTY sweeps."""
+    """Launch `kamil_adc` and acquire TTY sweeps."""
 
     config: RunConfigModel
     _process: subprocess.Popen[bytes] | None = field(init=False, default=None, repr=False)
     _reader: KamilAdcTtyReader | None = field(init=False, default=None, repr=False)
     _settings: RadarSweepModel | None = field(init=False, default=None, repr=False)
     _frequency_hz: np.ndarray | None = field(init=False, default=None, repr=False)
-    _laser_controller: Any | None = field(init=False, default=None, repr=False)
-    _laser_variation_active: bool = field(init=False, default=False, repr=False)
+    _expected_points: int | None = field(init=False, default=None, repr=False)
 
     def __post_init__(self) -> None:
         self._validate_config()
@@ -235,13 +281,12 @@ class KamilAdcService:
         return [executable_path, *adc.args, f"tty:{adc.tty_path}"]
 
     def open(self) -> None:
-        """Apply laser configuration, launch the collector, and open its TTY stream."""
+        """Launch the collector and open its TTY stream."""
         if self._reader is not None:
             return
 
-        previous_tty_identity = _tty_identity(self.config.radar.kamil_adc.tty_path)
+        previous_tty_identity = _prepare_tty_path_for_collector(self.config.radar.kamil_adc.tty_path)
         try:
-            self._apply_laser_control()
             self._start_process()
             self._wait_for_tty(previous_tty_identity)
             reader = KamilAdcTtyReader(self.config.radar.kamil_adc.tty_path)
@@ -252,25 +297,20 @@ class KamilAdcService:
             raise
 
     def close(self) -> None:
-        """Close TTY, stop the external collector, and disconnect laser control."""
+        """Close TTY and stop the external collector."""
         if self._reader is not None:
             with suppress(Exception):
                 self._reader.close()
             self._reader = None
 
         self._stop_process()
-        self._close_laser_control()
 
     def configure(self, sweep: RadarSweepModel) -> None:
-        """Store sweep settings and construct the synthetic frequency axis."""
+        """Store sweep settings used to construct the synthetic frequency axis."""
         self._validate_sweep(sweep)
         self._settings = sweep
-        self._frequency_hz = np.linspace(
-            float(sweep.start_hz),
-            float(sweep.stop_hz),
-            int(sweep.points),
-            dtype=np.float32,
-        )
+        self._frequency_hz = None
+        self._expected_points = None
 
     def read_device_limits(self) -> dict[str, float | int]:
         """Kamil ADC has no runtime-readable sweep limit API."""
@@ -278,7 +318,7 @@ class KamilAdcService:
 
     def acquire(self) -> SweepResult:
         """Acquire one Kamil ADC sweep as S21; fill S11 with explicit zeros."""
-        if self._settings is None or self._frequency_hz is None:
+        if self._settings is None:
             raise RuntimeError("Kamil ADC service is not configured")
         if self._reader is None:
             raise RuntimeError("Kamil ADC service is not open")
@@ -287,13 +327,21 @@ class KamilAdcService:
             code = None if process is None else process.poll()
             raise RuntimeError(f"Kamil ADC process is not running (code={code})")
 
-        points = int(self._settings.points)
         self._reader.discard_pending(process)
         s21 = self._reader.read_sweep(
-            points=points,
             timeout_s=self.config.radar.kamil_adc.sweep_timeout_s,
             process=process,
+            expected_points=self._expected_points,
         )
+        points = int(s21.size)
+        if points <= 0:
+            raise RuntimeError("Kamil ADC sweep contained no points")
+        if self._expected_points is None:
+            self._expected_points = points
+            self._frequency_hz = self._build_frequency_axis(points)
+            logger.info("Kamil ADC sweep point count locked to %d", points)
+        if self._frequency_hz is None:
+            self._frequency_hz = self._build_frequency_axis(points)
         return SweepResult(
             x=self._frequency_hz.copy(),
             traces={
@@ -353,79 +401,6 @@ class KamilAdcService:
             f"Timed out waiting for Kamil ADC TTY `{adc.tty_path}` to be created by the collector"
         )
 
-    def _apply_laser_control(self) -> None:
-        laser = self.config.radar.laser_control
-        if not laser.enabled:
-            return
-
-        from python_app.hardware_full.laser_control.controller import LaserController
-        from python_app.hardware_full.laser_control.models import VariationType
-
-        controller = LaserController(
-            port=laser.port,
-            pi_coeff1_p=laser.pi_coeff1_p,
-            pi_coeff1_i=laser.pi_coeff1_i,
-            pi_coeff2_p=laser.pi_coeff2_p,
-            pi_coeff2_i=laser.pi_coeff2_i,
-        )
-        try:
-            controller.connect()
-            mode = laser.mode.strip().lower()
-            if mode == "manual":
-                manual = laser.manual
-                controller.set_manual_mode(
-                    temp1=manual.temp1,
-                    temp2=manual.temp2,
-                    current1=manual.current1,
-                    current2=manual.current2,
-                )
-            elif mode == "variation":
-                variation = laser.variation
-                try:
-                    variation_type = VariationType[variation.variation_type]
-                except KeyError as exc:
-                    raise ValueError(
-                        f"Unsupported radar.laser_control.variation.variation_type: "
-                        f"{variation.variation_type}"
-                    ) from exc
-                controller.start_variation(
-                    variation_type=variation_type,
-                    params={
-                        "static_temp1": variation.static_temp1,
-                        "static_temp2": variation.static_temp2,
-                        "static_current1": variation.static_current1,
-                        "static_current2": variation.static_current2,
-                        "min_value": variation.min_value,
-                        "max_value": variation.max_value,
-                        "step": variation.step,
-                        "time_step": variation.time_step,
-                        "delay_time": variation.delay_time,
-                    },
-                )
-                self._laser_variation_active = True
-            else:
-                raise RuntimeError(f"Unsupported laser_control mode: {laser.mode}")
-        except Exception:
-            with suppress(Exception):
-                controller.disconnect()
-            raise
-
-        self._laser_controller = controller
-
-    def _close_laser_control(self) -> None:
-        controller = self._laser_controller
-        self._laser_controller = None
-        if controller is None:
-            self._laser_variation_active = False
-            return
-
-        try:
-            if self._laser_variation_active:
-                controller.stop_task()
-        finally:
-            self._laser_variation_active = False
-            controller.disconnect()
-
     def _validate_config(self) -> None:
         if not self.config.is_kamil_adc:
             raise RuntimeError("KamilAdcService requires radar.model='kamil_adc'")
@@ -457,31 +432,33 @@ class KamilAdcService:
         if not os.access(executable_path, os.X_OK):
             raise RuntimeError(f"radar.kamil_adc.executable_path is not executable: {executable_path}")
 
-        laser = self.config.radar.laser_control
-        if laser.enabled:
-            if not laser.port:
-                raise ValueError("radar.laser_control.port is required when laser_control is enabled")
-            mode = laser.mode.strip().lower()
-            if mode not in {"manual", "variation"}:
-                raise ValueError("radar.laser_control.mode must be 'manual' or 'variation'")
-            if mode == "variation" and not laser.variation.variation_type:
-                raise ValueError("radar.laser_control.variation.variation_type is required")
-
     @staticmethod
     def _validate_sweep(sweep: RadarSweepModel) -> None:
-        points = int(sweep.points)
-        if points <= 0:
-            raise ValueError("Kamil ADC sweep points must be > 0")
-        if points > KAMIL_ADC_MAX_STEP:
-            raise ValueError(f"Kamil ADC sweep points must be <= {KAMIL_ADC_MAX_STEP}")
         if float(sweep.stop_hz) < float(sweep.start_hz):
             raise ValueError("Kamil ADC sweep stop_hz must be >= start_hz")
 
+    def _build_frequency_axis(self, points: int) -> np.ndarray:
+        if self._settings is None:
+            raise RuntimeError("Kamil ADC service is not configured")
+        return np.linspace(
+            float(self._settings.start_hz),
+            float(self._settings.stop_hz),
+            int(points),
+            dtype=np.float32,
+        )
+
 
 def _tty_identity(path: str) -> tuple[object, ...] | None:
     try:
         if os.path.islink(path):
-            return ("link", os.readlink(path))
+            stat_result = os.lstat(path)
+            return (
+                "link",
+                os.readlink(path),
+                int(stat_result.st_dev),
+                int(stat_result.st_ino),
+                int(stat_result.st_mtime_ns),
+            )
         stat_result = os.stat(path)
     except FileNotFoundError:
         return None
@@ -491,3 +468,95 @@ def _tty_identity(path: str) -> tuple[object, ...] | None:
         int(stat_result.st_ino),
         int(stat_result.st_mtime_ns),
     )
+
+
+def _prepare_tty_path_for_collector(path: str) -> tuple[object, ...] | None:
+    """Remove stale generated TTY links before starting the external collector."""
+    try:
+        stat_result = os.lstat(path)
+    except FileNotFoundError:
+        return None
+
+    if stat.S_ISLNK(stat_result.st_mode) or stat.S_ISREG(stat_result.st_mode):
+        os.unlink(path)
+        return None
+    return None
+
+
+def apply_kamil_adc_laser_control(config: RunConfigModel) -> bool:
+    """Apply Kamil ADC laser settings exactly through the legacy device_main command sequence."""
+    laser = config.radar.laser_control
+    if not laser.enabled:
+        return False
+
+    _validate_laser_control_config(config)
+
+    from python_app.hardware_full.laser_control.controller import DEVICE_MAIN_MESSAGE_ID, LaserController
+    from python_app.hardware_full.laser_control.models import VariationType
+
+    controller = LaserController(
+        port=laser.port,
+        pi_coeff1_p=laser.pi_coeff1_p,
+        pi_coeff1_i=laser.pi_coeff1_i,
+        pi_coeff2_p=laser.pi_coeff2_p,
+        pi_coeff2_i=laser.pi_coeff2_i,
+    )
+    try:
+        controller.connect()
+        controller.reset()
+        mode = laser.mode.strip().lower()
+        if mode == "manual":
+            manual = laser.manual
+            controller.set_manual_mode(
+                temp1=manual.temp1,
+                temp2=manual.temp2,
+                current1=manual.current1,
+                current2=manual.current2,
+                message_id=DEVICE_MAIN_MESSAGE_ID,
+            )
+            return True
+        if mode == "variation":
+            variation = laser.variation
+            try:
+                variation_type = VariationType[variation.variation_type]
+            except KeyError as exc:
+                raise ValueError(
+                    f"Unsupported radar.laser_control.variation.variation_type: {variation.variation_type}"
+                ) from exc
+
+            controller.set_manual_mode(
+                temp1=variation.static_temp1,
+                temp2=variation.static_temp2,
+                current1=variation.static_current1,
+                current2=variation.static_current2,
+                message_id=DEVICE_MAIN_MESSAGE_ID,
+            )
+            controller.start_variation(
+                variation_type=variation_type,
+                params={
+                    "static_temp1": variation.static_temp1,
+                    "static_temp2": variation.static_temp2,
+                    "static_current1": variation.static_current1,
+                    "static_current2": variation.static_current2,
+                    "min_value": variation.min_value,
+                    "max_value": variation.max_value,
+                    "step": variation.step,
+                    "time_step": variation.time_step,
+                    "delay_time": variation.delay_time,
+                },
+            )
+            return True
+        raise RuntimeError(f"Unsupported laser_control mode: {laser.mode}")
+    finally:
+        controller.disconnect()
+
+
+def _validate_laser_control_config(config: RunConfigModel) -> None:
+    laser = config.radar.laser_control
+    if not laser.port:
+        raise ValueError("radar.laser_control.port is required when laser_control is enabled")
+    mode = laser.mode.strip().lower()
+    if mode not in {"manual", "variation"}:
+        raise ValueError("radar.laser_control.mode must be 'manual' or 'variation'")
+    if mode == "variation" and not laser.variation.variation_type:
+        raise ValueError("radar.laser_control.variation.variation_type is required")

python_app/hardware_full/laser_control/controller.py

@@ -33,6 +33,7 @@ logger = logging.getLogger(__name__)
 # Default PI regulator coefficients (match firmware defaults)
 DEFAULT_PI_P = 2560   # 10 * 256
 DEFAULT_PI_I = 128    # 0.5 * 256
+DEVICE_MAIN_MESSAGE_ID = 0x00FF
 
 
 class LaserController:
@@ -121,6 +122,7 @@ class LaserController:
         temp2: float,
         current1: float,
         current2: float,
+        message_id: Optional[int] = None,
     ) -> None:
         """
         Set manual control parameters for both lasers.
@@ -134,6 +136,9 @@ class LaserController:
                       Valid range: [15.0 … 60.0] mA.
             current2: Drive current for laser 2, mA.
                       Valid range: [15.0 … 60.0] mA.
+            message_id: Optional fixed DECODE_ENABLE message id.  When
+                        omitted, the id is incremented for backward
+                        compatibility with the refactored API.
 
         Raises:
             ValidationError: If any parameter is out of range.
@@ -142,7 +147,10 @@ class LaserController:
         validated = ParameterValidator.validate_manual_mode_params(
             temp1, temp2, current1, current2
         )
-        self._message_id = (self._message_id + 1) & 0xFFFF
+        if message_id is None:
+            self._message_id = (self._message_id + 1) & 0xFFFF
+        else:
+            self._message_id = int(message_id) & 0xFFFF
 
         cmd = Protocol.encode_decode_enable(
             temp1=validated['temp1'],
@@ -244,7 +252,7 @@ class LaserController:
                     validated['max_value'],
                     validated['step'])
 
-    def stop_task(self) -> None:
+    def stop_task(self, restore_message_id: Optional[int] = None) -> None:
         """Stop the current task and restore manual mode.
 
         Sends DEFAULT_ENABLE (reset) followed by DECODE_ENABLE with the last
@@ -257,20 +265,13 @@ class LaserController:
         self._send_and_read_state(cmd_reset)
         logger.info("Task stopped (DEFAULT_ENABLE sent)")
 
-        # Restore manual mode so the board is ready for TRANS_ENABLE requests
-        self._message_id = (self._message_id + 1) & 0xFFFF
-        cmd_restore = Protocol.encode_decode_enable(
+        self.set_manual_mode(
             temp1=self._last_temp1,
             temp2=self._last_temp2,
             current1=self._last_current1,
             current2=self._last_current2,
-            pi_coeff1_p=self._pi1_p,
-            pi_coeff1_i=self._pi1_i,
-            pi_coeff2_p=self._pi2_p,
-            pi_coeff2_i=self._pi2_i,
-            message_id=self._message_id,
+            message_id=restore_message_id,
         )
-        self._send_and_read_state(cmd_restore)
         logger.info("Manual mode restored after task stop")
 
     def get_measurements(self) -> Optional[Measurements]:
@@ -380,4 +381,4 @@ class LaserController:
             except Exception:
                 pass
         self.disconnect()
-        return False
+        return False

python_app/models/gui_profile_codec.py

@@ -265,6 +265,24 @@ def gui_profile_from_dict(payload: dict[str, Any]) -> GuiProfileModel:
                 gui.processing.gpr.angle_comp_power,
                 "gui.processing.gpr",
             ),
+            score_mode=_optional_string(
+                gpr_object,
+                "score_mode",
+                gui.processing.gpr.score_mode,
+                "gui.processing.gpr",
+            ),
+            max_detected_objects_to_draw=_optional_int(
+                gpr_object,
+                "max_detected_objects_to_draw",
+                gui.processing.gpr.max_detected_objects_to_draw,
+                "gui.processing.gpr",
+            ),
+            draw_top_m_objects=_optional_int(
+                gpr_object,
+                "draw_top_m_objects",
+                gui.processing.gpr.draw_top_m_objects,
+                "gui.processing.gpr",
+            ),
             start_freq_mhz=_optional_float(
                 gpr_object,
                 "start_freq_mhz",
@@ -342,6 +360,10 @@ def gui_profile_from_dict(payload: dict[str, Any]) -> GuiProfileModel:
             start_freq_mhz=legacy_float("start_freq_mhz", gui.processing.legacy_gpr.start_freq_mhz),
             stop_freq_mhz=legacy_float("stop_freq_mhz", gui.processing.legacy_gpr.stop_freq_mhz),
             speed_m_s=legacy_float("speed_m_s", gui.processing.legacy_gpr.speed_m_s),
+            ignore_socket_speed_enabled=legacy_bool(
+                "ignore_socket_speed_enabled",
+                gui.processing.legacy_gpr.ignore_socket_speed_enabled,
+            ),
             look_angle_deg=legacy_float("look_angle_deg", gui.processing.legacy_gpr.look_angle_deg),
             snr_thresh=legacy_float("snr_thresh", gui.processing.legacy_gpr.snr_thresh),
             snr_comp_max=legacy_float("snr_comp_max", gui.processing.legacy_gpr.snr_comp_max),
@@ -370,6 +392,8 @@ def gui_profile_from_dict(payload: dict[str, Any]) -> GuiProfileModel:
         raise ValueError("gui.processing.bscan.axis must be one of: abs, real, phase")
     if gui.processing.gpr.render_mode not in {"heatmap", "objects_only"}:
         raise ValueError("gui.processing.gpr.render_mode must be one of: heatmap, objects_only")
+    if gui.processing.gpr.score_mode not in {"peak", "combined"}:
+        raise ValueError("gui.processing.gpr.score_mode must be one of: peak, combined")
     if gui.processing.legacy_gpr.mode not in {"point", "extended"}:
         raise ValueError("gui.processing.legacy_gpr.mode must be one of: point, extended")
     if gui.processing.legacy_gpr.render_mode not in {"heatmap", "objects_only"}:
@@ -380,6 +404,10 @@ def gui_profile_from_dict(payload: dict[str, Any]) -> GuiProfileModel:
         raise ValueError("gui.processing.gpr.angle_comp_power must be >= 0")
     if gui.processing.gpr.min_visible_score < 0.0:
         raise ValueError("gui.processing.gpr.min_visible_score must be >= 0")
+    if gui.processing.gpr.max_detected_objects_to_draw < 0:
+        raise ValueError("gui.processing.gpr.max_detected_objects_to_draw must be >= 0")
+    if gui.processing.gpr.draw_top_m_objects < 0:
+        raise ValueError("gui.processing.gpr.draw_top_m_objects must be >= 0")
     if gui.processing.legacy_gpr.comp_power < 0.0:
         raise ValueError("gui.processing.legacy_gpr.comp_power must be >= 0")
     if gui.processing.legacy_gpr.snr_thresh < 0.0:
@@ -474,6 +502,9 @@ def gui_profile_to_dict(model: GuiProfileModel) -> dict[str, Any]:
                 "max_depth_m": gui.processing.gpr.max_depth_m,
                 "range_comp_power": gui.processing.gpr.range_comp_power,
                 "angle_comp_power": gui.processing.gpr.angle_comp_power,
+                "score_mode": gui.processing.gpr.score_mode,
+                "max_detected_objects_to_draw": gui.processing.gpr.max_detected_objects_to_draw,
+                "draw_top_m_objects": gui.processing.gpr.draw_top_m_objects,
                 "start_freq_mhz": gui.processing.gpr.start_freq_mhz,
                 "stop_freq_mhz": gui.processing.gpr.stop_freq_mhz,
                 "background_subtract_enabled": gui.processing.gpr.background_subtract_enabled,
@@ -496,6 +527,7 @@ def gui_profile_to_dict(model: GuiProfileModel) -> dict[str, Any]:
                 "start_freq_mhz": gui.processing.legacy_gpr.start_freq_mhz,
                 "stop_freq_mhz": gui.processing.legacy_gpr.stop_freq_mhz,
                 "speed_m_s": gui.processing.legacy_gpr.speed_m_s,
+                "ignore_socket_speed_enabled": gui.processing.legacy_gpr.ignore_socket_speed_enabled,
                 "look_angle_deg": gui.processing.legacy_gpr.look_angle_deg,
                 "snr_thresh": gui.processing.legacy_gpr.snr_thresh,
                 "snr_comp_max": gui.processing.legacy_gpr.snr_comp_max,

python_app/models/gui_profile_schema.py

@@ -55,6 +55,9 @@ class GuiGprStateModel:
     max_depth_m: float = 14.0
     range_comp_power: float = 0.28
     angle_comp_power: float = 0.10
+    score_mode: str = "combined"
+    max_detected_objects_to_draw: int = 5
+    draw_top_m_objects: int = 2
     start_freq_mhz: float = 3000.0
     stop_freq_mhz: float = 6000.0
     background_subtract_enabled: bool = True
@@ -81,6 +84,7 @@ class GuiLegacyGprStateModel:
     start_freq_mhz: float = 3000.0
     stop_freq_mhz: float = 6000.0
     speed_m_s: float = 0.0
+    ignore_socket_speed_enabled: bool = False
     look_angle_deg: float = 0.0
     snr_thresh: float = 4.5
     snr_comp_max: float = 25.0

python_app/models/run_config_codec.py

@@ -372,6 +372,15 @@ def run_config_from_dict(payload: dict[str, Any]) -> RunConfigModel:
 def run_config_to_dict(model: RunConfigModel) -> dict[str, Any]:
     """Encode :class:`RunConfigModel` to C++ pipeline-compatible JSON structure."""
     model.ensure_combos()
+    sweep_payload = {
+        "start_hz": model.radar.sweep.start_hz,
+        "stop_hz": model.radar.sweep.stop_hz,
+        "if_bandwidth_hz": model.radar.sweep.if_bandwidth_hz,
+        "stimulus_power_dbm": model.radar.sweep.power_dbm,
+    }
+    if not model.is_kamil_adc:
+        sweep_payload["points"] = model.radar.sweep.points
+
     return {
         "radar": {
             "model": model.radar.model,
@@ -422,13 +431,7 @@ def run_config_to_dict(model: RunConfigModel) -> dict[str, Any]:
                     "delay_time": model.radar.laser_control.variation.delay_time,
                 },
             },
-            "sweep": {
-                "start_hz": model.radar.sweep.start_hz,
-                "stop_hz": model.radar.sweep.stop_hz,
-                "points": model.radar.sweep.points,
-                "if_bandwidth_hz": model.radar.sweep.if_bandwidth_hz,
-                "stimulus_power_dbm": model.radar.sweep.power_dbm,
-            },
+            "sweep": sweep_payload,
         },
         "switches": {
             "port1": {

python_app/orchestration/gpr_locator.py

@@ -71,6 +71,7 @@ def locator_observations_from_collection(
     min_score: float,
     *,
     visible_bounds: tuple[float, float, float, float] | None = None,
+    object_draw_limits: tuple[int, int] | None = None,
 ) -> list[dict[str, float]]:
     """Build locator observations from GPR rows using score threshold and optional X/Z bounds."""
     rows = gpr_object_rows(collection)
@@ -88,6 +89,12 @@ def locator_observations_from_collection(
             & (rows[:, 1] <= z_max)
         )
     filtered = rows[visible_mask]
+    if object_draw_limits is not None and filtered.size > 0:
+        max_detected_objects, draw_top_objects = object_draw_limits
+        if filtered.shape[0] > int(max_detected_objects):
+            filtered = np.zeros((0, filtered.shape[1]), dtype=filtered.dtype)
+        else:
+            filtered = filtered[: max(0, int(draw_top_objects))]
 
     observations: list[dict[str, float]] = []
     for x_m, z_m, _score in filtered:

python_app/orchestration/live_processing_config.py

@@ -31,6 +31,9 @@ class ProcessingLiveConfig:
     gpr_range_comp_power: float = 0.28
     gpr_angle_comp_power: float = 0.10
     gpr_comp_power: float = 0.2
+    gpr_score_mode: str = "combined"
+    gpr_max_detected_objects_to_draw: int = 5
+    gpr_draw_top_m_objects: int = 2
     gpr_speed_m_s: float = 0.0
     gpr_look_angle_deg: float = 0.0
     gpr_snr_thresh: float = 4.5
@@ -40,6 +43,7 @@ class ProcessingLiveConfig:
     gpr_background_subtract_enabled: bool = True
     gpr_background_mean_count: int = 10
     gpr_remove_sidelobe_objects_enabled: bool = True
+    reprocess_current_result: bool = True
     history_command_seq: int = 0
     history_command: str = "none"
 
@@ -77,6 +81,9 @@ class ProcessingLiveConfig:
             "gpr_range_comp_power": float(self.gpr_range_comp_power),
             "gpr_angle_comp_power": float(self.gpr_angle_comp_power),
             "gpr_comp_power": float(self.gpr_comp_power),
+            "gpr_score_mode": str(self.gpr_score_mode),
+            "gpr_max_detected_objects_to_draw": int(self.gpr_max_detected_objects_to_draw),
+            "gpr_draw_top_m_objects": int(self.gpr_draw_top_m_objects),
             "gpr_speed_m_s": float(self.gpr_speed_m_s),
             "gpr_look_angle_deg": float(self.gpr_look_angle_deg),
             "gpr_snr_thresh": float(self.gpr_snr_thresh),
@@ -86,6 +93,7 @@ class ProcessingLiveConfig:
             "gpr_background_subtract_enabled": bool(self.gpr_background_subtract_enabled),
             "gpr_background_mean_count": int(self.gpr_background_mean_count),
             "gpr_remove_sidelobe_objects_enabled": bool(self.gpr_remove_sidelobe_objects_enabled),
+            "reprocess_current_result": bool(self.reprocess_current_result),
             "history_command_seq": int(self.history_command_seq),
             "history_command": str(self.history_command),
         }

python_app/orchestration/locator_runtime.py

@@ -63,6 +63,21 @@ def parse_vlc(payload: dict[str, Any]) -> float:
     return vlc
 
 
+def format_payload_for_log(payload: Any) -> str:
+    """Return compact JSON-ish payload text for logs."""
+    return json.dumps(payload, ensure_ascii=True, separators=(",", ":"))
+
+
+def decode_packet_for_log(packet: bytes) -> tuple[int, str]:
+    """Decode an outbound packet into `(device_id, payload_text)` for logging."""
+    if len(packet) < _PACKET_HEADER_STRUCT.size:
+        raise ValueError("Packet is shorter than the locator header")
+    header_bytes = packet[: _PACKET_HEADER_STRUCT.size]
+    payload_bytes = packet[_PACKET_HEADER_STRUCT.size :]
+    device_id, payload = decode_packet(header_bytes, payload_bytes)
+    return device_id, format_payload_for_log(payload)
+
+
 def format_peer_name(writer: asyncio.StreamWriter) -> str:
     """Return a readable peer address for logs."""
     peer_name = writer.get_extra_info("peername")
@@ -118,6 +133,7 @@ class LocatorTcpService:
         self._logger = logger or logging.getLogger(str(logger_name))
         self._client_queue_size = int(client_queue_size)
         self._speed_updates: queue.Queue[float] = queue.Queue()
+        self._log_updates: queue.Queue[str] = queue.Queue()
         self._loop: asyncio.AbstractEventLoop | None = None
         self._server: asyncio.AbstractServer | None = None
         self._thread: threading.Thread | None = None
@@ -186,12 +202,14 @@ class LocatorTcpService:
         min_score: float,
         *,
         visible_bounds: tuple[float, float, float, float] | None = None,
+        object_draw_limits: tuple[int, int] | None = None,
     ) -> None:
         """Publish one locator payload derived from a GPR result collection."""
         observations = locator_observations_from_collection(
             collection,
             min_score,
             visible_bounds=visible_bounds,
+            object_draw_limits=object_draw_limits,
         )
         payload = build_locator_payload(
             observations,
@@ -218,6 +236,24 @@ class LocatorTcpService:
             except queue.Empty:
                 return latest
 
+    def drain_log_updates(self) -> list[str]:
+        """Drain queued socket traffic log lines."""
+        lines: list[str] = []
+        while True:
+            try:
+                lines.append(str(self._log_updates.get_nowait()))
+            except queue.Empty:
+                return lines
+
+    def _queue_log_update(self, message: str) -> None:
+        """Queue one socket traffic line for the GUI runtime log."""
+        self._log_updates.put(str(message))
+
+    def _log_socket_traffic(self, message: str) -> None:
+        """Log socket traffic to both Python logging and the GUI-visible queue."""
+        self._logger.info(message)
+        self._queue_log_update(message)
+
     def _publish_packet(self, packet: bytes) -> None:
         """Store latest packet and broadcast it to all connected clients."""
         with self._snapshot_lock:
@@ -368,6 +404,17 @@ class LocatorTcpService:
             packet = await client.queue.get()
             client.writer.write(packet)
             await client.writer.drain()
+            try:
+                device_id, payload_text = decode_packet_for_log(packet)
+                self._log_socket_traffic(
+                    "Locator socket sent to %s: device_id=%d payload=%s"
+                    % (client.peer_name, device_id, payload_text)
+                )
+            except ValueError as error:
+                self._log_socket_traffic(
+                    "Locator socket sent undecodable packet to %s: bytes=%d error=%s"
+                    % (client.peer_name, len(packet), error)
+                )
 
     async def _receive_packets(
         self,
@@ -377,21 +424,19 @@ class LocatorTcpService:
         """Receive inbound client packets and queue valid speed updates."""
         while True:
             device_id, payload = await read_packet_with_limit(reader, self._max_payload_bytes)
+            payload_text = format_payload_for_log(payload)
             if isinstance(payload, dict) and "vlc" in payload:
-                self._speed_updates.put(parse_vlc(payload))
-                self._logger.debug(
-                    "Received locator speed from %s: device_id=%d payload=%s",
-                    client.peer_name,
-                    device_id,
-                    payload,
+                speed_m_s = parse_vlc(payload)
+                self._speed_updates.put(speed_m_s)
+                self._log_socket_traffic(
+                    "Locator socket received from %s: device_id=%d payload=%s speed_m_s=%g"
+                    % (client.peer_name, device_id, payload_text, speed_m_s)
                 )
                 continue
 
-            self._logger.info(
-                "Received locator payload from %s: device_id=%d payload=%s",
-                client.peer_name,
-                device_id,
-                json.dumps(payload, ensure_ascii=True, separators=(",", ":")),
+            self._log_socket_traffic(
+                "Locator socket received from %s: device_id=%d payload=%s"
+                % (client.peer_name, device_id, payload_text)
             )
 
     def _broadcast_packet(self, packet: bytes) -> None:

python_app/storage/npz/paths.py

@@ -23,12 +23,13 @@ def radar_key_from_config(
     serial_part = "_".join(sanitize_path_component(value) for value in serial_parts)
     start_token = _format_float_for_key(sweep_start_hz)
     stop_token = _format_float_for_key(sweep_stop_hz)
+    points_token = "adc" if model_name.strip().lower() == "kamil_adc" else str(int(sweep_points))
     ifbw_token = _format_float_for_key(ifbw_hz)
     power_token = _format_float_for_key(power_dbm)
     return (
         f"{model_name}_{serial_part}"
         f"_st{start_token}_sp{stop_token}"
-        f"_p{sweep_points}_if{ifbw_token}_pw{power_token}"
+        f"_p{points_token}_if{ifbw_token}_pw{power_token}"
     )
 
 

python_app/tests/test_kamil_adc_neutral_preprocess.py

@@ -0,0 +1,65 @@
+"""Tests for Kamil ADC neutral preprocessing-set generation."""
+
+from __future__ import annotations
+
+import unittest
+
+import numpy as np
+
+from python_app.models.run_config_model import RunConfigModel
+from python_app.workflows.kamil_adc_neutral_preprocess import build_kamil_adc_neutral_s21_sets
+
+
+class KamilAdcNeutralPreprocessTest(unittest.TestCase):
+    def test_builds_passthrough_s21_sets_for_current_sweep(self) -> None:
+        config = RunConfigModel.from_dict(
+            {
+                "radar": {
+                    "model": "kamil_adc",
+                    "sweep": {
+                        "start_hz": 1_000_000.0,
+                        "stop_hz": 4_000_000.0,
+                        "if_bandwidth_hz": 1.0,
+                        "stimulus_power_dbm": -10.0,
+                    },
+                },
+                "switches": {
+                    "port1": {"positions": 1},
+                    "port2": {"positions": 2},
+                },
+                "run": {
+                    "combos": [
+                        {"input": 0, "output": 0},
+                        {"input": 1, "output": 0},
+                    ],
+                },
+            }
+        )
+
+        calibration, reference = build_kamil_adc_neutral_s21_sets(config, point_count=4)
+
+        expected_frequency = np.linspace(1_000_000.0, 4_000_000.0, 4, dtype=np.float32)
+        self.assertEqual(len(calibration.traces), 2)
+        self.assertEqual(len(reference.traces), 2)
+        self.assertEqual(
+            [(trace.combo.input_pos, trace.combo.output_pos) for trace in calibration.traces],
+            [(0, 0), (1, 0)],
+        )
+        for trace in calibration.traces:
+            np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
+            np.testing.assert_array_equal(trace.s11, np.zeros(4, dtype=np.complex64))
+            np.testing.assert_array_equal(trace.s21, np.ones(4, dtype=np.complex64))
+        for trace in reference.traces:
+            np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
+            np.testing.assert_array_equal(trace.s11, np.zeros(4, dtype=np.complex64))
+            np.testing.assert_array_equal(trace.s21, np.zeros(4, dtype=np.complex64))
+
+    def test_rejects_non_kamil_config(self) -> None:
+        config = RunConfigModel.from_dict({"radar": {"model": "librevna"}})
+
+        with self.assertRaisesRegex(ValueError, "kamil_adc"):
+            build_kamil_adc_neutral_s21_sets(config, point_count=4)
+
+
+if __name__ == "__main__":
+    unittest.main()

python_app/tests/test_kamil_adc_service.py

@@ -47,9 +47,15 @@ class KamilAdcTtyReaderTest(unittest.TestCase):
             tty.setraw(slave_fd)
             reader = KamilAdcTtyReader(os.ttyname(slave_fd))
             reader.open()
-            os.write(master_fd, _start_frame() + _point_frame(1, 10, -1) + _point_frame(2, -20, 2))
+            os.write(
+                master_fd,
+                _start_frame()
+                + _point_frame(1, 10, -1)
+                + _point_frame(2, -20, 2)
+                + _start_frame(),
+            )
 
-            values = reader.read_sweep(points=2, timeout_s=1.0)
+            values = reader.read_sweep(timeout_s=1.0)
 
             self.assertEqual(values.tolist(), [complex(10, -1), complex(-20, 2)])
         finally:
@@ -58,7 +64,61 @@ class KamilAdcTtyReaderTest(unittest.TestCase):
             os.close(master_fd)
             os.close(slave_fd)
 
-    def test_short_stream_times_out_with_received_count(self) -> None:
+    def test_stream_reads_consecutive_variable_length_sweeps(self) -> None:
+        master_fd, slave_fd = pty.openpty()
+        reader: KamilAdcTtyReader | None = None
+        try:
+            tty.setraw(slave_fd)
+            reader = KamilAdcTtyReader(os.ttyname(slave_fd))
+            reader.open()
+            os.write(
+                master_fd,
+                _start_frame()
+                + _point_frame(1, 10, -1)
+                + _point_frame(2, -20, 2)
+                + _start_frame()
+                + _point_frame(1, 30, -3)
+                + _start_frame(),
+            )
+
+            first = reader.read_sweep(timeout_s=1.0)
+            second = reader.read_sweep(timeout_s=1.0)
+
+            self.assertEqual(first.tolist(), [complex(10, -1), complex(-20, 2)])
+            self.assertEqual(second.tolist(), [complex(30, -3)])
+        finally:
+            if reader is not None:
+                reader.close()
+            os.close(master_fd)
+            os.close(slave_fd)
+
+    def test_expected_point_count_discards_mismatched_sweep(self) -> None:
+        master_fd, slave_fd = pty.openpty()
+        reader: KamilAdcTtyReader | None = None
+        try:
+            tty.setraw(slave_fd)
+            reader = KamilAdcTtyReader(os.ttyname(slave_fd))
+            reader.open()
+            os.write(
+                master_fd,
+                _start_frame()
+                + _point_frame(1, 5, -5)
+                + _start_frame()
+                + _point_frame(1, 10, -1)
+                + _point_frame(2, -20, 2)
+                + _start_frame(),
+            )
+
+            values = reader.read_sweep(timeout_s=1.0, expected_points=2)
+
+            self.assertEqual(values.tolist(), [complex(10, -1), complex(-20, 2)])
+        finally:
+            if reader is not None:
+                reader.close()
+            os.close(master_fd)
+            os.close(slave_fd)
+
+    def test_stream_without_next_start_times_out_with_received_count(self) -> None:
         master_fd, slave_fd = pty.openpty()
         reader: KamilAdcTtyReader | None = None
         try:
@@ -67,8 +127,8 @@ class KamilAdcTtyReaderTest(unittest.TestCase):
             reader.open()
             os.write(master_fd, _start_frame() + _point_frame(1, 10, -1))
 
-            with self.assertRaisesRegex(TimeoutError, "received 1/2"):
-                reader.read_sweep(points=2, timeout_s=0.05)
+            with self.assertRaisesRegex(TimeoutError, "sweep end: received 1 points"):
+                reader.read_sweep(timeout_s=0.05)
         finally:
             if reader is not None:
                 reader.close()
@@ -137,6 +197,7 @@ class KamilAdcConfigTest(unittest.TestCase):
         encoded = RunConfigModel.from_dict(payload).to_dict()
 
         self.assertEqual(encoded["radar"]["model"], "kamil_adc")
+        self.assertNotIn("points", encoded["radar"]["sweep"])
         self.assertEqual(encoded["radar"]["kamil_adc"]["tty_path"], "/tmp/ttyADC_data")
         self.assertEqual(encoded["radar"]["kamil_adc"]["args"], ["profile:phase", "do1_pair_subtract_avg"])
         self.assertEqual(encoded["radar"]["kamil_adc"]["env"], {"ADC_ENV": "1"})

python_app/tests/test_laser_control_protocol.py

@@ -0,0 +1,250 @@
+"""Laser-control protocol compatibility tests."""
+
+from __future__ import annotations
+
+import unittest
+from unittest.mock import patch
+
+from python_app.hardware_full.laser_control.controller import DEVICE_MAIN_MESSAGE_ID, LaserController
+from python_app.hardware_full.laser_control.models import VariationType
+from python_app.hardware_full.laser_control.protocol import Protocol, TaskType
+from python_app.hardware_full.kamil_adc_service import apply_kamil_adc_laser_control
+from python_app.models.run_config_model import RunConfigModel
+
+
+DEVICE_MAIN_MANUAL_HEX = "1111ff37ffa518ab000000000000000a8000000a8000ff003d2acc2c163f"
+DEVICE_MAIN_CHANGE_CURRENT_LD1_HEX = (
+    "7777ff3701003d2acc2c10008813ffa5cc2c18ab0a00000a8000000a8000b600"
+)
+DEVICE_MAIN_CHANGE_CURRENT_LD2_HEX = (
+    "7777ff3702003d2acc2c0500881318ab3d2affa50a00000a8000000a80005106"
+)
+
+
+class _FakeProtocol:
+    def __init__(self) -> None:
+        self.is_connected = True
+        self.sent: list[bytes] = []
+
+    def send_raw(self, data: bytes) -> None:
+        self.sent.append(bytes(data))
+
+    def receive_raw(self, length: int) -> bytes:
+        return b"\x00\x00" if length == 2 else b""
+
+
+class _FakeLaserController:
+    instances: list["_FakeLaserController"] = []
+
+    def __init__(self, **kwargs: object) -> None:
+        self.kwargs = kwargs
+        self.calls: list[tuple[str, object]] = []
+        _FakeLaserController.instances.append(self)
+
+    def connect(self) -> bool:
+        self.calls.append(("connect", None))
+        return True
+
+    def reset(self) -> None:
+        self.calls.append(("reset", None))
+
+    def set_manual_mode(self, **kwargs: object) -> None:
+        self.calls.append(("set_manual_mode", kwargs))
+
+    def start_variation(self, **kwargs: object) -> None:
+        self.calls.append(("start_variation", kwargs))
+
+    def disconnect(self) -> None:
+        self.calls.append(("disconnect", None))
+
+
+class LaserControlProtocolCompatibilityTest(unittest.TestCase):
+    def setUp(self) -> None:
+        _FakeLaserController.instances.clear()
+
+    @staticmethod
+    def _kamil_config(laser_payload: dict[str, object]) -> RunConfigModel:
+        return RunConfigModel.from_dict(
+            {
+                "radar": {
+                    "model": "kamil_adc",
+                    "driver_mode": "native",
+                    "laser_control": laser_payload,
+                }
+            }
+        )
+
+    def test_manual_command_matches_device_main_bytes(self) -> None:
+        command = Protocol.encode_decode_enable(
+            temp1=28.0,
+            temp2=28.9,
+            current1=33.0,
+            current2=35.0,
+            pi_coeff1_p=2560,
+            pi_coeff1_i=128,
+            pi_coeff2_p=2560,
+            pi_coeff2_i=128,
+            message_id=DEVICE_MAIN_MESSAGE_ID,
+        )
+
+        self.assertEqual(command.hex(), DEVICE_MAIN_MANUAL_HEX)
+
+    def test_variation_commands_match_device_main_bytes(self) -> None:
+        ld1_command = Protocol.encode_task_enable(
+            task_type=TaskType.CHANGE_CURRENT_LD1,
+            static_temp1=28.0,
+            static_temp2=28.9,
+            static_current1=33.0,
+            static_current2=35.0,
+            min_value=33.0,
+            max_value=35.0,
+            step=0.05,
+            time_step=50,
+            delay_time=10,
+            message_id=DEVICE_MAIN_MESSAGE_ID,
+            pi_coeff1_p=2560,
+            pi_coeff1_i=128,
+            pi_coeff2_p=2560,
+            pi_coeff2_i=128,
+        )
+        ld2_command = Protocol.encode_task_enable(
+            task_type=TaskType.CHANGE_CURRENT_LD2,
+            static_temp1=28.0,
+            static_temp2=28.9,
+            static_current1=33.0,
+            static_current2=35.0,
+            min_value=33.0,
+            max_value=35.0,
+            step=0.05,
+            time_step=50,
+            delay_time=10,
+            message_id=DEVICE_MAIN_MESSAGE_ID,
+            pi_coeff1_p=2560,
+            pi_coeff1_i=128,
+            pi_coeff2_p=2560,
+            pi_coeff2_i=128,
+        )
+
+        self.assertEqual(ld1_command.hex(), DEVICE_MAIN_CHANGE_CURRENT_LD1_HEX)
+        self.assertEqual(ld2_command.hex(), DEVICE_MAIN_CHANGE_CURRENT_LD2_HEX)
+
+    def test_start_sequence_matches_device_main_order(self) -> None:
+        fake_protocol = _FakeProtocol()
+        controller = LaserController(pi_coeff1_p=2560, pi_coeff1_i=128, pi_coeff2_p=2560, pi_coeff2_i=128)
+        controller._protocol = fake_protocol
+
+        with patch("python_app.hardware_full.laser_control.controller.time.sleep", return_value=None):
+            controller.reset()
+            controller.set_manual_mode(
+                temp1=28.0,
+                temp2=28.9,
+                current1=33.0,
+                current2=35.0,
+                message_id=DEVICE_MAIN_MESSAGE_ID,
+            )
+            controller.start_variation(
+                variation_type=VariationType.CHANGE_CURRENT_LD1,
+                params={
+                    "static_temp1": 28.0,
+                    "static_temp2": 28.9,
+                    "static_current1": 33.0,
+                    "static_current2": 35.0,
+                    "min_value": 33.0,
+                    "max_value": 35.0,
+                    "step": 0.05,
+                    "time_step": 50,
+                    "delay_time": 10,
+                },
+            )
+
+        self.assertEqual(
+            [command.hex() for command in fake_protocol.sent],
+            [
+                "2222",
+                DEVICE_MAIN_MANUAL_HEX,
+                DEVICE_MAIN_CHANGE_CURRENT_LD1_HEX,
+            ],
+        )
+
+    def test_stop_sequence_restores_device_main_manual_bytes(self) -> None:
+        fake_protocol = _FakeProtocol()
+        controller = LaserController(pi_coeff1_p=2560, pi_coeff1_i=128, pi_coeff2_p=2560, pi_coeff2_i=128)
+        controller._protocol = fake_protocol
+
+        with patch("python_app.hardware_full.laser_control.controller.time.sleep", return_value=None):
+            controller.set_manual_mode(
+                temp1=28.0,
+                temp2=28.9,
+                current1=33.0,
+                current2=35.0,
+                message_id=DEVICE_MAIN_MESSAGE_ID,
+            )
+            fake_protocol.sent.clear()
+            controller.stop_task(restore_message_id=DEVICE_MAIN_MESSAGE_ID)
+
+        self.assertEqual(
+            [command.hex() for command in fake_protocol.sent],
+            [
+                "2222",
+                DEVICE_MAIN_MANUAL_HEX,
+            ],
+        )
+
+    def test_apply_radar_variation_sequence_matches_device_main_order(self) -> None:
+        config = self._kamil_config(
+            {
+                "enabled": True,
+                "port": "/dev/ttyUSB0",
+                "mode": "variation",
+                "pi_coeff1_p": 2560,
+                "pi_coeff1_i": 128,
+                "pi_coeff2_p": 2560,
+                "pi_coeff2_i": 128,
+                "variation": {
+                    "variation_type": "CHANGE_CURRENT_LD1",
+                    "static_temp1": 28.0,
+                    "static_temp2": 28.9,
+                    "static_current1": 33.0,
+                    "static_current2": 35.0,
+                    "min_value": 33.0,
+                    "max_value": 35.0,
+                    "step": 0.05,
+                    "time_step": 50,
+                    "delay_time": 10,
+                },
+            }
+        )
+
+        with patch("python_app.hardware_full.laser_control.controller.LaserController", _FakeLaserController):
+            applied = apply_kamil_adc_laser_control(config)
+
+        self.assertTrue(applied)
+        controller = _FakeLaserController.instances[0]
+        self.assertEqual(
+            [name for name, _payload in controller.calls],
+            ["connect", "reset", "set_manual_mode", "start_variation", "disconnect"],
+        )
+        manual_payload = controller.calls[2][1]
+        self.assertEqual(
+            manual_payload,
+            {
+                "temp1": 28.0,
+                "temp2": 28.9,
+                "current1": 33.0,
+                "current2": 35.0,
+                "message_id": DEVICE_MAIN_MESSAGE_ID,
+            },
+        )
+
+    def test_apply_radar_skips_disabled_laser_control(self) -> None:
+        config = self._kamil_config({"enabled": False})
+
+        with patch("python_app.hardware_full.laser_control.controller.LaserController", _FakeLaserController):
+            applied = apply_kamil_adc_laser_control(config)
+
+        self.assertFalse(applied)
+        self.assertEqual(_FakeLaserController.instances, [])
+
+
+if __name__ == "__main__":
+    unittest.main()

python_app/workflows/kamil_adc_neutral_preprocess.py

@@ -0,0 +1,77 @@
+"""Neutral preprocessing-set helpers for Kamil ADC acquisition."""
+
+from __future__ import annotations
+
+import time
+
+import numpy as np
+
+from python_app.models.dataset_model import ComboKey, SweepCollection, TraceData
+from python_app.models.run_config_model import ComboModel, RunConfigModel
+
+
+def build_kamil_adc_neutral_s21_sets(
+    config: RunConfigModel,
+    point_count: int,
+) -> tuple[SweepCollection, SweepCollection]:
+    """Build S21 calibration/reference collections that leave input S21 unchanged."""
+    if not config.is_kamil_adc:
+        raise ValueError("Neutral Kamil ADC sets require radar.model='kamil_adc'")
+
+    points = int(point_count)
+    if points <= 0:
+        raise ValueError("Kamil ADC neutral set point count must be > 0")
+
+    combos = list(config.combos)
+    if not combos:
+        combos = RunConfigModel.build_full_combos(config.input_switch.positions, config.output_switch.positions)
+    if not combos:
+        raise ValueError("Kamil ADC neutral sets require at least one switch combo")
+
+    frequency_hz = np.linspace(
+        float(config.radar.sweep.start_hz),
+        float(config.radar.sweep.stop_hz),
+        points,
+        dtype=np.float32,
+    )
+    now_ns = time.monotonic_ns()
+    calibration = _neutral_collection(
+        combos=combos,
+        frequency_hz=frequency_hz,
+        s21_value=np.complex64(1.0 + 0.0j),
+        monotonic_ns=now_ns,
+    )
+    reference = _neutral_collection(
+        combos=combos,
+        frequency_hz=frequency_hz,
+        s21_value=np.complex64(0.0 + 0.0j),
+        monotonic_ns=now_ns,
+    )
+    return calibration, reference
+
+
+def _neutral_collection(
+    *,
+    combos: list[ComboModel],
+    frequency_hz: np.ndarray,
+    s21_value: np.complex64,
+    monotonic_ns: int,
+) -> SweepCollection:
+    traces = []
+    for combo in combos:
+        point_count = int(frequency_hz.size)
+        traces.append(
+            TraceData(
+                combo=ComboKey(input_pos=int(combo.input), output_pos=int(combo.output)),
+                frequency_hz=frequency_hz.copy(),
+                s11=np.zeros(point_count, dtype=np.complex64),
+                s21=np.full(point_count, s21_value, dtype=np.complex64),
+            )
+        )
+    return SweepCollection(
+        collection_id=1,
+        monotonic_ns=monotonic_ns,
+        traces=traces,
+        capture_start_ns=monotonic_ns,
+        capture_end_ns=monotonic_ns,
+    )

run_config_kamil_adc.example.json

@@ -11,22 +11,12 @@
     },
     "kamil_adc": {
       "project_dir": "/home/europa/Documents/kamil_adc",
-      "executable_path": "/home/europa/Documents/kamil_adc/kamil_adc_capture",
+      "executable_path": "/home/europa/Documents/kamil_adc/run_do1_pair_subtract_avg.sh",
       "tty_path": "/tmp/ttyADC_data",
-      "args": [
-        "profile:phase",
-        "clock:internal",
-        "internal_ref_hz:2000000",
-        "mode:diff",
-        "channels:2",
-        "ch1:2",
-        "ch2:3",
-        "do1_toggle_per_frame",
-        "do1_pair_subtract_avg"
-      ],
+      "args": [],
       "env": {},
       "startup_timeout_s": 5.0,
-      "sweep_timeout_s": 5.0,
+      "sweep_timeout_s": 15.0,
       "stop_timeout_s": 2.0
     },
     "laser_control": {
@@ -59,7 +49,6 @@
     "sweep": {
       "start_hz": 1000000.0,
       "stop_hz": 6000000000.0,
-      "points": 201,
       "if_bandwidth_hz": 50000.0,
       "stimulus_power_dbm": -10.0
     }

run_config_kamil_adc.pi.json

@@ -0,0 +1,140 @@
+{
+  "radar": {
+    "model": "kamil_adc",
+    "serial": "kamil_adc",
+    "driver_mode": "native",
+    "kamil_adc": {
+      "project_dir": "/home/callisto/Documents/kamil_adc",
+      "executable_path": "/home/callisto/Documents/kamil_adc/run_do1_pair_subtract_avg.sh",
+      "tty_path": "/tmp/ttyADC_data",
+      "args": [],
+      "env": {
+        "TTY_PATH": "/tmp/ttyADC_data"
+      },
+      "startup_timeout_s": 10.0,
+      "sweep_timeout_s": 15.0,
+      "stop_timeout_s": 2.0
+    },
+    "laser_control": {
+      "enabled": false,
+      "port": "/dev/ttyUSB0",
+      "mode": "variation"
+    },
+    "sweep": {
+      "start_hz": 1000000.0,
+      "stop_hz": 6000000000.0,
+      "if_bandwidth_hz": 50000.0,
+      "stimulus_power_dbm": -10.0
+    }
+  },
+  "switches": {
+    "port1": {
+      "name": "port1",
+      "driver_mode": "mock",
+      "driver": "h7992",
+      "radar_port": 1,
+      "positions": 1,
+      "default_position": 0
+    },
+    "port2": {
+      "name": "port2",
+      "driver_mode": "mock",
+      "driver": "h7992",
+      "radar_port": 2,
+      "positions": 1,
+      "default_position": 0
+    }
+  },
+  "run": {
+    "settling_ms": 0,
+    "idle_sleep_ms": 2,
+    "continuous": true,
+    "processing_live_config_path": "python_app/runtime/processing_live.json",
+    "combos": [
+      {
+        "input": 0,
+        "output": 0
+      }
+    ]
+  },
+  "preprocess": {
+    "s21": {
+      "calibration": {
+        "set_name": "",
+        "bundle_path": ""
+      },
+      "reference": {
+        "set_name": "",
+        "bundle_path": ""
+      }
+    },
+    "s11": {
+      "calibration": {
+        "open": {
+          "set_name": "",
+          "bundle_path": ""
+        },
+        "short": {
+          "set_name": "",
+          "bundle_path": ""
+        },
+        "load": {
+          "set_name": "",
+          "bundle_path": ""
+        }
+      },
+      "reference": {
+        "set_name": "",
+        "bundle_path": ""
+      }
+    },
+    "notch": {
+      "enabled": false,
+      "bands_hz": [],
+      "taper_width_hz": 40000000.0,
+      "taper_type": "cosine"
+    }
+  },
+  "gpr": {
+    "relative_permittivity": 1.0,
+    "tx_geometry": [
+      {
+        "output_pos": 0,
+        "x_m": 0.0
+      }
+    ],
+    "rx_geometry": [
+      {
+        "input_pos": 0,
+        "x_m": 0.0
+      }
+    ]
+  },
+  "rings": {
+    "raw": {
+      "name": "/radar_raw_kamil_adc",
+      "capacity": 50,
+      "slot_size_bytes": 2097152
+    },
+    "raw_tap": {
+      "name": "/radar_raw_tap_kamil_adc",
+      "capacity": 50,
+      "slot_size_bytes": 2097152
+    },
+    "preprocessed": {
+      "name": "/radar_preprocessed_kamil_adc",
+      "capacity": 50,
+      "slot_size_bytes": 2097152
+    },
+    "preprocessed_tap": {
+      "name": "/radar_preprocessed_tap_kamil_adc",
+      "capacity": 50,
+      "slot_size_bytes": 2097152
+    },
+    "results": {
+      "name": "/radar_results_kamil_adc",
+      "capacity": 50,
+      "slot_size_bytes": 2097152
+    }
+  }
+}

start.sh

@@ -7,20 +7,29 @@ VENV_PYTHON="${PROJECT_ROOT}/.venv/bin/python"
 VENV_PIP="${PROJECT_ROOT}/.venv/bin/pip"
 GUI_ENTRY="${PROJECT_ROOT}/python_app/gui/main.py"
 REQUIREMENTS_FILE="${PROJECT_ROOT}/requirements.txt"
+PYTHON_CMD=""
+PROFILE_PATH=""
 
 SKIP_BUILD=0
 BUILD_ONLY=0
 CLEAN_SHM=0
+KAMIL_ADC_MODE=0
+AUTO_START=0
+PRODUCER_ONLY=0
 
 print_usage() {
     cat <<'EOF'
 Usage: ./start.sh [options]
 
 Options:
-  --skip-build   Skip C++ build step and only run GUI
-  --build-only   Build C++ binaries and exit
-  --clean-shm    Remove known radar shared-memory segments before start
-  -h, --help     Show this help
+  --kamil-adc      Use the Raspberry Pi Kamil ADC profile
+  --profile PATH   Use a specific GUI/run config profile
+  --auto-start     Start the GUI pipeline automatically after launch
+  --producer-only  Run only the raw producer selected by the profile
+  --skip-build     Skip C++ build step
+  --build-only     Build C++ binaries and exit
+  --clean-shm      Remove known radar shared-memory segments before start
+  -h, --help       Show this help
 EOF
 }
 
@@ -36,6 +45,23 @@ parse_args() {
             --clean-shm)
                 CLEAN_SHM=1
                 ;;
+            --kamil-adc)
+                KAMIL_ADC_MODE=1
+                ;;
+            --profile)
+                if (($# < 2)); then
+                    echo "--profile requires a path argument." >&2
+                    exit 1
+                fi
+                PROFILE_PATH="$2"
+                shift
+                ;;
+            --auto-start)
+                AUTO_START=1
+                ;;
+            --producer-only)
+                PRODUCER_ONLY=1
+                ;;
             -h|--help)
                 print_usage
                 exit 0
@@ -50,6 +76,35 @@ parse_args() {
     done
 }
 
+absolute_path() {
+    local path="$1"
+    if [[ "${path}" = /* ]]; then
+        printf '%s\n' "${path}"
+        return
+    fi
+    printf '%s\n' "${PROJECT_ROOT}/${path}"
+}
+
+resolve_profile_path() {
+    if ((KAMIL_ADC_MODE == 1)); then
+        if [[ -z "${PROFILE_PATH}" ]]; then
+            if [[ -f "${PROJECT_ROOT}/run_config_kamil_adc.pi.json" ]]; then
+                PROFILE_PATH="${PROJECT_ROOT}/run_config_kamil_adc.pi.json"
+            else
+                PROFILE_PATH="${PROJECT_ROOT}/run_config_kamil_adc.example.json"
+            fi
+        fi
+    fi
+
+    if [[ -n "${PROFILE_PATH}" ]]; then
+        PROFILE_PATH="$(absolute_path "${PROFILE_PATH}")"
+        if [[ ! -f "${PROFILE_PATH}" ]]; then
+            echo "Config profile not found: ${PROFILE_PATH}" >&2
+            exit 1
+        fi
+    fi
+}
+
 check_environment() {
     if ! command -v python3 >/dev/null 2>&1; then
         echo "python3 is not installed or not found in PATH." >&2
@@ -68,6 +123,13 @@ check_environment() {
 }
 
 ensure_python_dependencies() {
+    local dependency_check
+    if ((KAMIL_ADC_MODE == 1)); then
+        dependency_check='import numpy, serial, PyQt6, pyqtgraph, usb1'
+    else
+        dependency_check='import numpy, serial, PyQt6, pyqtgraph, usb1, pyvisa'
+    fi
+
     if [[ ! -x "${VENV_PYTHON}" ]]; then
         echo "[start.sh] Creating virtual environment..."
         python3 -m venv "${PROJECT_ROOT}/.venv"
@@ -78,9 +140,19 @@ ensure_python_dependencies() {
         exit 1
     fi
 
-    echo "[start.sh] Installing Python dependencies..."
-    "${VENV_PIP}" install --upgrade pip
-    "${VENV_PIP}" install -r "${REQUIREMENTS_FILE}"
+    if ! "${VENV_PYTHON}" -c "${dependency_check}" >/dev/null 2>&1; then
+        echo "[start.sh] Installing Python dependencies into virtual environment..."
+        "${VENV_PIP}" install --upgrade pip
+        "${VENV_PIP}" install -r "${REQUIREMENTS_FILE}"
+    fi
+
+    if ! "${VENV_PYTHON}" -c "${dependency_check}" >/dev/null 2>&1; then
+        echo "Required Python dependencies are still unavailable in virtual environment: ${PROJECT_ROOT}/.venv" >&2
+        exit 1
+    fi
+
+    PYTHON_CMD="${VENV_PYTHON}"
+    echo "[start.sh] Using virtual environment: ${PYTHON_CMD}"
 }
 
 run_privileged() {
@@ -170,19 +242,57 @@ build_cpp_binaries() {
 
 cleanup_known_shm() {
     echo "[start.sh] Cleaning known shared-memory segments..."
-    rm -f /dev/shm/radar_raw /dev/shm/radar_preprocessed /dev/shm/radar_results || true
+    rm -f \
+        /dev/shm/radar_raw \
+        /dev/shm/radar_raw_tap \
+        /dev/shm/radar_preprocessed \
+        /dev/shm/radar_preprocessed_tap \
+        /dev/shm/radar_results \
+        /dev/shm/radar_raw_kamil_adc \
+        /dev/shm/radar_raw_tap_kamil_adc \
+        /dev/shm/radar_preprocessed_kamil_adc \
+        /dev/shm/radar_preprocessed_tap_kamil_adc \
+        /dev/shm/radar_results_kamil_adc \
+        || true
 }
 
 run_gui() {
+    if [[ -n "${PROFILE_PATH}" ]]; then
+        export RADAR_SYSTEM_PROFILE="${PROFILE_PATH}"
+        echo "[start.sh] Using config profile: ${PROFILE_PATH}"
+    fi
+    if ((AUTO_START == 1)); then
+        export RADAR_SYSTEM_AUTO_START=1
+        echo "[start.sh] GUI auto-start is enabled."
+    fi
+
     echo "[start.sh] Launching GUI..."
-    exec "${VENV_PYTHON}" "${GUI_ENTRY}"
+    exec "${PYTHON_CMD}" "${GUI_ENTRY}"
+}
+
+run_producer_only() {
+    if ((KAMIL_ADC_MODE != 1)); then
+        echo "--producer-only currently requires --kamil-adc." >&2
+        exit 1
+    fi
+    if [[ -z "${PROFILE_PATH}" ]]; then
+        echo "--producer-only requires a resolved config profile." >&2
+        exit 1
+    fi
+
+    export PYTHONPATH="${PROJECT_ROOT}${PYTHONPATH:+:${PYTHONPATH}}"
+    echo "[start.sh] Starting Kamil ADC raw producer with profile: ${PROFILE_PATH}"
+    exec "${PYTHON_CMD}" -m python_app.scripts.kamil_adc_raw_producer --config "${PROFILE_PATH}"
 }
 
 main() {
     parse_args "$@"
+    resolve_profile_path
     check_environment
-    ensure_system_dependencies
-    ensure_usb_access_rules
+    if ((KAMIL_ADC_MODE == 0)); then
+        ensure_system_dependencies
+        ensure_usb_access_rules
+    fi
     ensure_python_dependencies
 
     if ((CLEAN_SHM == 1)); then
@@ -198,6 +308,10 @@ main() {
         exit 0
     fi
 
+    if ((PRODUCER_ONLY == 1)); then
+        run_producer_only
+    fi
+
     run_gui
 }
 

tmp

@@ -1,3 +0,0 @@
-смотри сейчас будем добавлять в проект поддержку еще одного девайса в качестве радара. Когда будешь читать код смотри если есть файлы длинее чем 1300 строк то надо бы будет их грамотно разбить. В целом пиши код как мастер профессионал лучший в мире и самый опытный разработчик, пиши красивейший код, максимально читаемый, грамотный и понятный. Очень внимательнно смотри чтобы не было фолбеков, если в коде уже сейчас видишь какие то фолбеки то скажи где они и что делают, скорее всего будем удалять их в дальнейшем. И когда писать сейчас будешь то не создавай лишнего кода типа фолбеков изза отсутвтивия зависимостей и так далее, лишний код это плохо. объем в идеале уменьшать надо проекта. 
-
-Давай постепенно будем добавлять поддержку нового типа радара в код, для начала - сбор данных свипов. По пути /home/europa/Documents/kamil_adc  лежит проект, который собирает свипы с нового девайса (там формат получается вроде бы как 0x0a step data1 data2 где data 1 это действтиельная часть а 2 это мнимая). Вот надо будет драйвер написать для интеграции в проект. как в случае с мультидевайсом можно только питоновский драйвер оставить, то есть будет запускаться код например из проекта kamil_adc а мы поверх него уже пишем нашу прослойку для интеграции в проект radar_system. Вот желательно немного кода добавтиь. И еще у этого девайса своя конфигурация, увидеть как настраивается устройство и какие параметры можно в проекте