Traffic Controller Using Image Processing

Abstract

The purpose of this paper is to develop a prototype to control the traffic which is a main issue mainly in the metropolitan cities. Traffic problems nowadays are increasing because of the growing number of vehicles and the limited resources provided by current infrastructures. The simplest way for controlling a traffic light uses timer for each phase. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images and live video instead of using electronic sensors embedded in the pavement. CCTV camera will be used to capture the images or video which is kept alongside the traffic light. It will capture image sequences. Setting image of all the vehicles as reference image, the captured images are sequentially matched using image matching. For this purpose edge detection has been carried out using Prewitt edge detection operator and according to percentage of matching traffic light durations can be controlled. Second feature is to detect the emergency vehicles through the RF Module technique in which the vehicle is given an RF ID card that has an IC chip within it and RF Module get fixed at the bottom of the road so that the vehicle got detected when it crosses the particular path.