Traffic Monitoring System Detecting Overspeed and Accidents from Video Input Using OpenCV and Digital Image Processing

This research paper proposes a traffic monitoring system that detects overspeeding and accidents in real time from video input using OpenCV and image processing techniques. The system analyzes the speed of the objects to find those overspeeding. This system uses image processing techniques to detect accident-prone areas and potential collisions. The proposed system supplies real-time alerts to traffic authorities and emergency services in case of overspeeding or accidents, enabling them to take timely action and reduce the risk of accidents. Results from the experiments show that the system anticipated is effective and accurate in detecting overspeeding and accidents, making it a valuable tool for traffic management and accident prevention.