TRAFFIC LIGHT CONTROL USING IMAGE PROCESSING

Abstract

As the problem oftraffic obstruction is increasing, there is a need for the introduction ot advanced technology and equipment to improve the state oftraffic control. The pro em oftraffic controls nowadays is increasing because ofthe growing number of vehicles and the limited resources provided by current infrastructures. The simplest way for controlling a traffic light uses timer for each stage. Another way is to control the traffic by using equipment to detect the vehicles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles using some techniques to control the traffic light. A camera will be installed along with the traffic light. It will detect the vehicles. The captured images will be analysed to using the techniques ofimage processing for the detection ofvehicles. The objective ofthis project is to control the traffic light using image processing by applying different algorithms. This project basically uses the image processing techniques to count and the detection ofthe cars to control the traffic signal. This report explores different techniques for counting number ofcars like we have used the Gaussian Mixture Model for detection of cars and blob detection technique to count the number of cars