Project Overview: Vehicle and Speed Detection Using OpenCV ,YOLO
This project focuses on vehicle and speed detection using OpenCV and Python. The system leverages video streams or pre-recorded videos to detect moving vehicles and estimate their speed. The core components of the project include vehicle detection using background subtraction methods, contour detection, and object tracking techniques. For speed estimation, the system calculates the time taken by a vehicle to travel between two defined points in the video frame, considering the frame rate and the real-world distance between these points.
Project Overview: Vehicle and Speed Detection Using OpenCV ,YOLO
This project focuses on vehicle and speed detection using OpenCV and Python. The system leverages video streams or pre-recorded videos to detect moving vehicles and estimate their speed. The core components of the project include vehicle detection using background subtraction methods, contour detection, and object tracking techniques. For speed estimation, the system calculates the time taken by a vehicle to travel between two defined points in the video frame, considering the frame rate and the real-world distance between these points.
Below is the input video:
https://github.com/charann29/cmr_opensource/assets/172465607/f68468c3-1cb0-44ff-98be-b3cd1ae8e325
Final output Video:
https://github.com/charann29/cmr_opensource/assets/172465607/a4d7c387-9046-4d6c-9d71-4527ff55d480