Add runtime bundle (104 files, 121.85 MB)

.gitattributes

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runtime/config.example.yml

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+# =============================================================================
+# MBFS Sentinel - Configuration Template
+# =============================================================================
+#
+# Usage:
+#   1. Copy this file to config.yml:    cp config.example.yml config.yml
+#   2. Update values to match your environment
+#   3. Restart mbfs-sentinel to apply changes
+#
+# Notes:
+#   - All paths can be relative (to the executable) or absolute
+#   - Durations use seconds unless noted otherwise
+#   - Set 'enabled: true' on any plugin you want to activate
+#
+# =============================================================================
+
+
+# =============================================================================
+# General Settings
+# =============================================================================
+general:
+  project_name: MBFS Sentinel       # Display name shown in UI and logs
+  port: 8003                        # HTTP API port (Axum server)
+  dev_mode: false                   # Enable development mode (extra logging, relaxed checks)
+  device_id: c9869e48ab4a2341fe4e08587b20d6c402da59ce2e26d934b9d3d6d503e0bd5a  # Unique device identifier (from mbfs-mv-core)
+
+# =============================================================================
+# Database (PostgreSQL + pgvector)
+# =============================================================================
+database:
+  # PostgreSQL connection URL
+  # Format: postgresql://user:password@host:port/database?sslmode=disable
+  url: "postgresql://root:123123@localhost:5434/dev?sslmode=disable"
+
+  # Secret key for signing JWT tokens (MUST change in production!)
+  secret_key: "secret"
+
+# =============================================================================
+# MinIO Storage (S3-compatible object storage)
+# =============================================================================
+# Used for storing face crops, event snapshots, evidence images/videos.
+# Any S3-compatible service can be used (AWS S3, MinIO, etc.)
+# =============================================================================
+minio:
+  endpoint: "localhost:9000"        # MinIO server host:port
+  access_key: "minioadmin"          # Access key (username)
+  secret_key: "minioadmin"          # Secret key (password)
+  bucket: "mbfs-sentinel"           # Bucket name for all stored objects
+  secure: false                     # Use TLS/SSL connection (true for HTTPS)
+  url: http://localhost:9000        # Public-facing URL for generating download links
+
+# =============================================================================
+# AI Models
+# =============================================================================
+# Directory and filenames for core ONNX models (face detection & recognition).
+# Plugin-specific models are configured in their respective sections below.
+# =============================================================================
+models:
+  dir: './models'                              # Path to model files directory
+  detection_name: ""    # Face detection model (RetinaFace)
+  recognition_name: ""  # Face recognition/embedding model (ArcFace)
+
+# =============================================================================
+# Batch Processing
+# =============================================================================
+# Controls how frames are batched before inference to maximize GPU throughput.
+# Larger batches = higher throughput but more latency and VRAM usage.
+# =============================================================================
+batch:
+  detection_size: 24              # Face detection batch size (frames per batch)
+  recognition_size: 96            # Face recognition batch size (face crops per batch)
+  collection_timeout_ms: 100      # Max wait time to fill a batch before processing (ms)
+
+# =============================================================================
+# Worker Threads
+# =============================================================================
+workers:
+  num_ai: 3                       # Number of AI inference worker threads
+  upload: 24                      # Number of upload worker threads (MinIO/S3)
+
+# =============================================================================
+# Face Tracking
+# =============================================================================
+# Settings for tracking detected faces across consecutive frames.
+# Used by face recognition to maintain identity continuity.
+# =============================================================================
+tracking:
+  high_confidence_threshold: 0.65 # Min confidence for a high-quality face match
+  timeout: 2.0                    # Seconds before a tracked face expires (no re-detection)
+  similarity: 0.55                # Cosine similarity threshold for re-identification
+  log_cooldown: 3.0               # Min seconds between logging the same face identity
+  min_detections: 2               # Min detection count before a face is logged as event
+
+# =============================================================================
+# Image Upload
+# =============================================================================
+upload:
+  queue_max_size: 100             # Max pending uploads in queue (overflow is dropped)
+  jpeg_quality: 70                # JPEG compression quality for uploaded images (0-100)
+
+# =============================================================================
+# Camera Manager
+# =============================================================================
+# Connection to the external camera management service.
+# Sentinel periodically sends a survival signal to indicate it is alive.
+# =============================================================================
+camera_manager:
+  url: http://localhost:8000                # Camera manager API base URL
+  survival_signal_interval: 10              # Interval in seconds for survival heartbeat
+
+# =============================================================================
+# Core AI Node (Cluster mode)
+# =============================================================================
+# URL of the central AI node when running in distributed/cluster mode.
+# =============================================================================
+core_ai:
+  url: http://10.8.0.3:8003
+
+# =============================================================================
+# TensorRT Configuration
+# =============================================================================
+# TensorRT engine caching speeds up model loading after first run.
+# Engine files are GPU-specific and will be rebuilt if hardware changes.
+# =============================================================================
+tensorrt:
+  enabled: true                   # false = skip TensorRT, use CUDA (faster startup, slower inference)
+  cache_dir: trt_cache            # Directory for cached TensorRT engine files
+  lib_dir: null                   # Custom TensorRT library path (null = system default)
+
+# =============================================================================
+# License
+# =============================================================================
+license:
+  key: ''                         # License key (obtained from license server)
+  active_key: ''                  # Active license key (set after successful activation)
+
+license_server:
+  url: https://ai-mv-core.mbfs.com.vn      # License server URL
+  check_interval_secs: 86400                # License recheck interval (86400 = 24 hours)
+
+# =============================================================================
+# Processing Loop
+# =============================================================================
+# Low-level tuning for the frame processing pipeline.
+# Default values work well for most setups. Only adjust if needed.
+# =============================================================================
+processing:
+  max_batch_size: 24              # Max frames per processing batch
+  loop_sleep_ms: 10               # Sleep between processing loops (ms)
+  channel_buffer_size: 256        # Channel buffer for frame pipeline
+  face_log_queue_size: 256        # Face event logging queue size
+  face_log_workers: 2             # Face event logging worker threads
+  dispatch_max_fps: 15            # Default max dispatch rate per pipeline runner (fps).
+                                  # Coordinator drops batches dispatched faster than this
+                                  # to avoid wasting Arc clones + mutex contention on frames
+                                  # the runner can't keep up with. Camera decode rate is
+                                  # capped separately at 15fps in mbfs-camera.
+                                  # Plugins can override per-plugin via manifest.toml:
+                                  #   [runtime]
+                                  #   max_fps = 8
+
+
+# =============================================================================
+# Plugins - AI Pipeline Configurations
+# =============================================================================
+#
+# Each plugin can be independently enabled/disabled. Common sub-sections:
+#
+#   enabled        - Whether the plugin is active (true/false)
+#   confidence     - Min detection confidence threshold (0.0 - 1.0)
+#   nms_threshold  - Non-Maximum Suppression IoU threshold (0.0 - 1.0)
+#
+#   tracking:      - ByteTrack multi-object tracker settings
+#     enabled                - Enable/disable object tracking
+#     high_conf_threshold    - High confidence detection threshold
+#     low_conf_threshold     - Low confidence detection threshold
+#     confirm_frames         - Frames needed to confirm a new track
+#     max_lost_frames        - Max frames before a lost track is removed
+#
+#   alert:         - Alert system settings (consecutive detection triggers)
+#     consecutive_threshold  - Consecutive detections needed to trigger alert
+#     max_miss               - Max missed frames before resetting alert counter
+#     cooldown_secs          - Cooldown between alerts for the same object
+#
+#   data_lake:     - Event storage configuration
+#     enabled          - Enable event logging
+#     bucket_prefix    - MinIO bucket prefix for this plugin's events
+#     min_count        - Min detection count before saving event
+#     jpeg_quality     - JPEG quality for event snapshots (0-100)
+#     queue_size       - Event processing queue size
+#     workers          - Number of event processing workers
+#     batch_size       - Events per batch write
+#     parquet_enabled  - Enable Parquet file export
+#     parquet_batch_size - Rows per Parquet batch
+#     save_json        - Save raw JSON alongside Parquet
+#     db_enabled       - Write events to PostgreSQL
+#     db_batch_size    - DB insert batch size
+#     db_batch_timeout_ms - Max wait before flushing DB batch (ms)
+#     db_channel_size  - DB write channel buffer size
+#     save_crops       - Save cropped detection images to MinIO
+#     crop_jpeg_quality - JPEG quality for crop images (0-100)
+#
+#   dedup:         - Deduplication settings (prevent duplicate events)
+#     cooldown_seconds             - Min seconds between events for same object
+#     grid_size                    - Spatial grid cell size for position-based dedup
+#     high_confidence_threshold    - Confidence above which dedup is stricter
+#     significant_count_threshold  - Detection count to consider object significant
+#     max_tracked_per_camera       - Max tracked objects per camera for dedup
+#
+# =============================================================================
+plugins:
+
+  # ---------------------------------------------------------------------------
+  # Shared Models
+  # ---------------------------------------------------------------------------
+  # Model files referenced by multiple plugins. Avoids duplicating filenames.
+  # These are loaded once and shared across plugins that need them.
+  # ---------------------------------------------------------------------------
+  shared_models:
+    detection_model: det_10g_fp16_dynamic.onnx.enc      # Face detection (RetinaFace)
+    recognition_model: mbfs_rec_vit_b_v3.onnx.enc       # Face recognition (ViT)
+    human_detection_model: mbfs_human_det_v4.onnx       # Human/person detection (YOLO)
+    helmet_model: helmet_dt_v10.onnx                    # Helmet detection
+    lpr_detection_model: lp_detection_v4.onnx           # License plate detection
+    lpr_ocr_model: mbfs_ocr_license_plate_b16_v5.onnx  # License plate OCR
+    vehicle_model: yolov8_coco.onnx                     # Vehicle detection (COCO classes)
+
+  # ---------------------------------------------------------------------------
+  # Face Recognition (builtin)
+  # ---------------------------------------------------------------------------
+  # Detects faces, extracts embeddings, and matches against enrolled identities.
+  # Requires: detection_model + recognition_model from shared_models.
+  # ---------------------------------------------------------------------------
+  face_recognition:
+    enabled: false
+    min_detection_score: 0.7              # Min face detection confidence
+    min_size: 32                          # Min face size in pixels (width or height)
+    min_ratio: 0.0001                     # Min face area ratio relative to frame
+    unknown_min_score: 0.50               # Min score to classify as "unknown" (below = discard)
+    enrollment_min_detection_score: 0.7   # Stricter detection threshold for face enrollment
+    enrollment_min_size: 100              # Min face size for enrollment (px)
+    enrollment_max_angle: 15.0            # Max yaw/pitch angle for enrollment (degrees)
+    data_lake:
+      enabled: true
+      bucket_prefix: face-recognition-events
+      min_count: 1
+      jpeg_quality: 85
+      queue_size: 512
+      workers: 1
+      batch_size: 16
+      parquet_enabled: true
+      parquet_batch_size: 1000
+      save_json: false
+      db_enabled: true
+      db_batch_size: 32
+      db_batch_timeout_ms: 100
+      db_channel_size: 512
+      save_crops: true
+      crop_jpeg_quality: 90
+    dedup:
+      cooldown_seconds: 5.0
+      grid_size: 100.0
+      high_confidence_threshold: 0.65
+      significant_count_threshold: 3
+      max_tracked_per_camera: 50
+
+  # ===========================================================================
+  # Dynamic Plugins
+  # ===========================================================================
+  # Plugins loaded at runtime from DLLs in the plugins/ directory.
+  # Each plugin has a manifest.toml defining its models and capabilities.
+  # Config values here override manifest defaults.
+  # ===========================================================================
+  dynamic_plugins:
+
+    # -------------------------------------------------------------------------
+    # Human Detection
+    # -------------------------------------------------------------------------
+    # Detects humans/persons in the frame. Foundation for many other plugins.
+    # Model: human_detection_model from shared_models.
+    # -------------------------------------------------------------------------
+    human_detection:
+      enabled: false
+      confidence: 0.75
+      nms_threshold: 0.45
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 10.0
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: human-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Facial Expression Recognition
+    # -------------------------------------------------------------------------
+    # Classifies facial expressions (happy, sad, angry, surprised, etc.).
+    # Two-stage: face detection -> expression classification.
+    # -------------------------------------------------------------------------
+    facial_expression:
+      enabled: false
+      confidence: 0.5
+      nms_threshold: 0.45
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 10.0
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: facial-expression-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Object Detection (General)
+    # -------------------------------------------------------------------------
+    # General-purpose object detection using COCO or custom classes.
+    # Useful for counting/tracking arbitrary object types.
+    # -------------------------------------------------------------------------
+    object_detection:
+      enabled: false
+      confidence: 0.75
+      nms_threshold: 0.45
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: object-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Smoke & Fire Detection
+    # -------------------------------------------------------------------------
+    # Detects smoke and fire in the frame. Triggers alerts when detected
+    # consecutively to reduce false positives.
+    # -------------------------------------------------------------------------
+    smoke_fire_detection:
+      enabled: false
+      confidence: 0.75
+      alert:
+        consecutive_threshold: 5          # Consecutive detections to trigger alert
+        max_miss: 2                       # Max missed frames before reset
+        cooldown_secs: 10.0               # Alert cooldown (seconds)
+      data_lake:
+        enabled: true
+        bucket_prefix: smoke-fire-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Behavior Detection
+    # -------------------------------------------------------------------------
+    # Detects abnormal behaviors (loitering, falling, running, etc.).
+    # Uses human detection + tracking to analyze movement patterns.
+    # -------------------------------------------------------------------------
+    behavior_detection:
+      enabled: false
+      confidence: 0.75
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 5                 # Higher confirm frames for behavior analysis
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: behavior-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Helmet Detection
+    # -------------------------------------------------------------------------
+    # Detects whether people are wearing safety helmets (construction sites, etc.).
+    # Triggers alerts for "no helmet" detections.
+    # -------------------------------------------------------------------------
+    helmet_detection:
+      enabled: false
+      confidence: 0.75
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 10.0
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: helmet-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Weapon Detection
+    # -------------------------------------------------------------------------
+    # Detects weapons (guns, knives, etc.) in the frame.
+    # Lower confidence threshold and shorter cooldown for safety-critical alerts.
+    # -------------------------------------------------------------------------
+    weapon_detection:
+      enabled: false
+      confidence: 0.5                     # Lower threshold for safety-critical detection
+      nms_threshold: 0.45
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 5.0                # Shorter cooldown for urgent alerts
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: weapon-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 5.0             # Longer dedup for weapon events
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Phone Usage Detection
+    # -------------------------------------------------------------------------
+    # Two-stage: detect humans -> crop -> classify phone usage.
+    # Higher confidence threshold to reduce false positives on small objects.
+    # -------------------------------------------------------------------------
+    phone_usage_detection:
+      enabled: false
+      confidence: 0.8                     # Higher threshold (small object, prone to FP)
+      nms_threshold: 0.45
+      crop_padding: 0.1                   # Extra padding around human crop for context
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 5.0
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: phone-usage-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 30.0            # Longer cooldown to avoid spam
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Fight Detection
+    # -------------------------------------------------------------------------
+    # Detects physical fights/altercations between people.
+    # Uses pose or interaction analysis on tracked humans.
+    # -------------------------------------------------------------------------
+    fight_detection:
+      enabled: false
+      confidence: 0.5
+      nms_threshold: 0.45
+      alert:
+        consecutive_threshold: 5
+        max_miss: 2
+        cooldown_secs: 5.0
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: fight-detection-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # People Counting (migrated from builtin to dynamic plugin)
+    # -------------------------------------------------------------------------
+    people_counting:
+      enabled: false
+      confidence: 0.25
+      nms_threshold: 0.45
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: people-counting-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # License Plate Recognition (migrated from builtin to dynamic plugin)
+    # -------------------------------------------------------------------------
+    license_plate_recognition:
+      enabled: false
+      confidence: 0.5
+      nms_threshold: 0.45
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 2
+        max_lost_frames: 15
+      data_lake:
+        enabled: true
+        bucket_prefix: license-plate-recognition-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 10.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+    # -------------------------------------------------------------------------
+    # Traffic Violation Detection (migrated from builtin to dynamic plugin)
+    # -------------------------------------------------------------------------
+    traffic_violation_detection:
+      enabled: false
+      confidence: 0.5
+      nms_threshold: 0.45
+      tracking:
+        enabled: true
+        high_conf_threshold: 0.5
+        low_conf_threshold: 0.1
+        confirm_frames: 3
+        max_lost_frames: 30
+      data_lake:
+        enabled: true
+        bucket_prefix: traffic-violation-events
+        min_count: 1
+        jpeg_quality: 85
+        queue_size: 512
+        workers: 2
+        batch_size: 16
+        parquet_enabled: true
+        parquet_batch_size: 1000
+        save_json: false
+        db_enabled: true
+        db_batch_size: 16
+        db_batch_timeout_ms: 100
+        db_channel_size: 256
+        save_crops: true
+        crop_jpeg_quality: 90
+      dedup:
+        cooldown_seconds: 3.0
+        grid_size: 100.0
+        high_confidence_threshold: 0.75
+        significant_count_threshold: 5
+        max_tracked_per_camera: 50
+
+# =============================================================================
+# Logging
+# =============================================================================
+logging:
+  enabled: true
+  dir: logs                       # Log files directory (relative to executable)
+  max_days: 7                     # Auto-cleanup logs older than N days

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