A powerful and flexible computer vision system that processes video feeds in real-time for face and object detection. Built with state-of-the-art deep learning models and computer vision technologies.
- Real-time video feed processing
- Face detection and recognition
- Object detection using YOLO
- Multiple camera support
- Web interface for monitoring and control
- Ultralytics YOLO - State-of-the-art object detection
- PyTorch - Deep learning framework
- OpenCV - Computer vision operations
- Flask - Web interface backend
- Python - Primary programming language
This project is under development. Features are not yet fully implemented. I'm treating this as a research endeavor.
- Multi-camera synchronization
- Custom object detection training
- Advanced face recognition
- Motion tracking
- Alert system integration