VEHICLES SPEED DETECTION SYSTEM USING OPENCV

COMPUTER SCIENCE AND ENGINEERING

In this Project, we recommended a traffic accident detection and introduced a framework for consequently recognizing, recording, and detailing traffic accidents at crossing points. A framework with these properties would be helpful in deciding the reason for accidents and the highlights of the crossing point that sway wellbeing. Moreover, we proposed and structured the metadata vault for the framework to enhance the interoperability. This model simply detects the accident or collisions at the traffic lights by identifying collisions at the intersection and then informing to central data, so that a life can be saved.It only detects the collisions between cars only but for future use it can be extended to other 4 wheelers as well 2 wheelers and an informing system can also be installed that redirects to Ambulance for the emergency if it detects an accident on the intersection of Traffic lights. An implementation of the proposed technique will be performed using python programming language. This describes the methodology used for image processing for traffic accident detection classification using different libraries and algorithms with real time images.

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