Vehicle Detection And Counting System Using OpenCV

In these modern days the use of vehicles has significantly increased, resulting in challenges related to their Planning, monitoring, and control. To overcome this issue, the vehicle detection and counting system is employed. In the proposed work, we designed and implemented a model which takes a video as an input and extracts the frames from that video clip, and processes them to detect and count the vehicles. Those frames are converted into grayscale images on which background subtraction, frame differentiation, contours, and morphological methods are applied for vehicle counting. This system employs a background subtraction algorithm for vehicle detection, which enables accurate results.