A real-time traffic control system using deep learning to optimize signal timings.
This project uses computer vision and YOLO models to detect vehicle density at intersections, dynamically adjusting signal timing to reduce congestion. It features a complete dashboard for traffic officials to monitor real-time data and historical trends.
Empowering farmers with instant plant disease diagnosis using mobile photography.