feat: initial BantayCam scaffold
- FastAPI backend with async SQLAlchemy - Camera RTSP management (add, start, stop) - Vehicle detection (YOLO + fast-alpr) - Type: car, motorcycle, truck, jeepney - Color detection (HSV) - License plate OCR - Motorcycle person count - Face detection + InsightFace ArcFace embedding - pgvector identity grouping (auto-cluster same face) - Vehicle + person movement trail APIs - Docker Compose with pgvector/pg16 - Models: Camera, VehicleIdentity, VehicleEvent, PersonIdentity, FaceEvent
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.env.example
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.env.example
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# BantayCam Environment Variables
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# Copy to .env and fill in your values
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# Database
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DATABASE_URL=postgresql+asyncpg://bantaycam:bantaycam@localhost:5432/bantaycam
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# Storage
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STORAGE_TYPE=local
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STORAGE_PATH=./snapshots
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# AI Models
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YOLO_MODEL=yolov8n.pt
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FACE_MODEL=buffalo_l
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GPU_DEVICE=0 # Set to -1 for CPU-only
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# Processing tuning
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PROCESS_EVERY_N_FRAMES=5
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FACE_SIMILARITY_THRESHOLD=0.5
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PLATE_CONFIDENCE_THRESHOLD=0.6
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# Alerts (optional)
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TELEGRAM_BOT_TOKEN=
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TELEGRAM_CHAT_ID=
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