The main objective of traffic jams increased by a number of motor vehicles and an increasing number of city population and development of the city's living style. We need a solution to handle this situation more effectively and usable. The management part of the traffic in Myanmar is using like training and only manual efforts that cannot completely solve this situation state. So, we need to do automatically system to control current traffic and to avoid the congestion of main roads, that we can call the Auto Traffic Control System with Intelligent Computing. This method, the webcam will be used for each of the traffic light in order to take a shot current image of the main roads traffic is bound to occur. These systems will count a total number of vehicles in images and will be calculated using image processing theory and various timings are detected according to the count along with a green signal for vehicles to pass. The simplest way of controlling a traffic light uses a timer for each phase. Another way is to use electronic sensors in order to detect vehicles and produce a signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences. Setting the image of an empty road as a reference image, the captured images are sequentially matched using image matching. In these projects, we are building a system to solve the traffic with image processing by using various types of image processing theory, the vehicles can be detected on the basis of which traffic lights can switch.