Road Shape Detection Demo
This demo uses computer vision to detect road shapes and intersections in real-time. Perfect for IoT traffic monitoring, autonomous vehicle projects, or smart city applications.
Features:
- Real-time lane detection
- Intersection point identification
- Confidence scoring
- Debug visualization overlay
- Camera access with fallback
Live Detection:
Integration Ideas for Your IoT Platform:
- Traffic Monitoring: Count vehicles and analyze traffic flow
- Smart Traffic Lights: Optimize signal timing based on detected intersections
- Parking Detection: Identify available parking spaces
- Road Maintenance: Detect potholes and road damage
- Autonomous Navigation: Provide road shape data to self-driving projects
- Safety Systems: Alert drivers about road conditions
Technical Stack:
- Frontend: React with TypeScript
- Computer Vision: Canvas-based edge detection (upgradeable to TensorFlow.js)
- Camera Access: WebRTC MediaDevices API
- Real-time Processing: RequestAnimationFrame for smooth detection
- Algorithms: Sobel edge detection + Hough line transform
Production Enhancements:
- Replace basic edge detection with pre-trained ML models (DeepLab, YOLO)
- Add vehicle detection and classification
- Implement road sign recognition
- Add weather condition detection
- Integrate with mapping APIs for GPS correlation
- Add cloud processing for complex analysis