An Automated System for Accident Detection Using OpenCV

Road accidents are one of the leading causes of fatalities and severe injuries worldwide, creating an urgent need for quick and accurate detection methods to reduce emergency response time. Traditional accident reporting systems rely heavily on human intervention, such as eyewitness accounts or delayed manual reports, which often lead to a lag in response time. It presents an automated accident detection system that uses OpenCV, a powerful computer vision library, to monitor and analyze real-time video feeds from traffic surveillance cameras, identifying accidents the moment they occur . Utilizing image processing techniques like edge detection, object tracking, and motion analysis, the system analyzes vehicular movement on the road. Sudden changes, such as abrupt stops or irregular vehicle behavior, are detected in real-time to identify potential accidents. OpenCV’s capabilities allow the system to adapt to various environmental conditions, including differing lighting, weather, and traffic densities