Real Time Object Detection And Counter And Tracking

This project focuses on detecting, counting, and tracking objects vehicles, people in real-time using aerial footage captured by drones or surveillance systems. Leveraging computer vision techniques and deep learning models like YOLO, the system processes live video streams to identify and count moving objects while tracking their trajectories across frames