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============================================================================= +# +# 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 +# ============================================================================= 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