Intelligent Traffic Light System by Using Video Processing

Abstract

In this paper, a novel real-time traffic control system using video processing techniques is presented. In the proposed method, a webcam is used in each stage of traffic lighting in order to take real video state of the roads. Counting the total number of vehicles in these images is realized using image processing tools in Open CV and different timing are allocated according to the count along with a green signal for vehicles to pass. In the proposed prototype, the green and red signals are represented using LED’s and the decremented timer for the green signal is represented by typing in the result screen of the Raspberry Pi. Index Terms—Image processing, edge detection, traffic congestion detection, intelligent traffic control system.