Speed Detection using Haar-Cascade Classifier and Pixel per Meter

Modern highways cannot exist unless traffic safety is prioritized. As a result, while determining speed restrictions for a certain route, the condition of the road and its tendency for accidents are considered. Speed monitoring cameras are strategically positioned along the route to detect motorists who exceed the speed limit. The traditional speed radar gun has been replaced with speed monitoring cameras. The main purpose of this research work is to create a speed-detecting camera by using image processing to process the videos using Haar Cascade in Python.