Core Technology Stack

Underlying frameworks and libraries powering sub-100ms response, precision vision processing, and scalable integration

Computer Vision & Image Processing

  • OpenCV for video decoding & frame extraction
  • Background subtraction via MOG2 algorithm
  • Sub-millimeter motion detection with custom CV pipelines

Backend & API

  • FastAPI serving REST endpoints and WebSocket streams
  • Asynchronous Python with asyncio for low-latency operations
  • Uvicorn/Gunicorn for production deployment

Real-Time Data Streaming

  • WebSocket-based live video & control channels
  • JSON over WS for event notifications & status updates
  • Sub-100ms end-to-end frame-to-gate latency

Frontend & UX

  • Vanilla JavaScript + HTML5 Canvas for zone drawing
  • Responsive design with CSS Grid & Flexbox
  • Font Awesome icons and Google Fonts (Inter, Poppins)

Database & Storage

  • SQLite for lightweight, embedded data storage
  • SQLAlchemy ORM for schema and migrations
  • Metadata logging with timestamped event tables

Concurrency & Performance

  • Multi-threaded frame processing pipeline
  • Async I/O for non-blocking video upload/download
  • Queue-based worker pools for scalable throughput

DevOps & Deployment

  • Docker containerization for reproducible builds
  • Kubernetes-ready manifests for scalable clusters
  • CI/CD pipelines with GitHub Actions

Security & Protocols

  • HTTPS/TLS encryption for all API endpoints
  • CORS and CSRF protection configured in FastAPI
  • Role-based JWT authentication

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