Image Processing based Vehicle Identification and Speed Measurement
Supriya Kamoji, Dipali Koshti, Alphaeus Dmonte, Solomon Jose George, Clayton Sohan Pereira · 2020
Traffic Collisions are a major source of deaths, injuries and property damage every year. In many of the cases, the reason for the death is over speeding. The rapid recent advancements in the computation ability of everyday computers have made it possible to widely apply deep learning methods to the analysis of traffic surveillance videos. The vehicle speed detection system developed by using video processing techniques. In this, a video is captured through a fixed camera with various parameters noted. The video from the camera is processed frame by frame, in which the 1) Each frame is processed with Image Enhancement to improve the characteristics of the image 2) Vehicle is identified with a bounding box applied to the vehicle, to note the movement in each frame 3) Movement of the vehicle is noted with change in pixel 4) Calculating the speed using distance formula considering PPM.