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

backend/app/core/config.py

@@ -0,0 +1,42 @@
+from pydantic_settings import BaseSettings
+from typing import Optional
+
+
+class Settings(BaseSettings):
+    APP_NAME: str = "BantayCam"
+    APP_VERSION: str = "0.1.0"
+    DEBUG: bool = False
+
+    # Database
+    DATABASE_URL: str = "postgresql+asyncpg://bantaycam:bantaycam@localhost:5432/bantaycam"
+
+    # Storage (MinIO / local)
+    STORAGE_TYPE: str = "local"  # "local" or "minio"
+    STORAGE_PATH: str = "./snapshots"
+    MINIO_ENDPOINT: str = ""
+    MINIO_ACCESS_KEY: str = ""
+    MINIO_SECRET_KEY: str = ""
+    MINIO_BUCKET: str = "bantaycam"
+
+    # AI Models
+    YOLO_MODEL: str = "yolov8n.pt"              # Vehicle + person detection
+    PLATE_MODEL: str = "yolov8n.pt"             # Plate detection (custom PH)
+    FACE_MODEL: str = "buffalo_l"               # InsightFace model
+    GPU_DEVICE: int = 0                          # -1 for CPU, 0 for first GPU
+
+    # Processing
+    PROCESS_EVERY_N_FRAMES: int = 5             # Skip frames for performance
+    FACE_SIMILARITY_THRESHOLD: float = 0.5      # Cosine distance threshold
+    PLATE_CONFIDENCE_THRESHOLD: float = 0.6
+    DETECTION_CONFIDENCE_THRESHOLD: float = 0.5
+
+    # Alerts
+    TELEGRAM_BOT_TOKEN: Optional[str] = None
+    TELEGRAM_CHAT_ID: Optional[str] = None
+
+    class Config:
+        env_file = ".env"
+        case_sensitive = True
+
+
+settings = Settings()