Implementation of efficient automatic traffic surveillance using digital image processing

This paper demonstrates the automated traffic surveillance without any human intervention. The aim of this paper is to detect the traffic density and to work according to the traffic density. The traffic signal is structured with the camera which takes the snap of the road and the density is identified. Hence by this method the traffic is analyzed and the lights are transferred according to the traffic density. The number of objects present in the roads will be identified and those numbers are transmitted to the micro controller. The micro controller controls the traffic signal and the varied time is displayed in the 7 segment display. By this a dynamic approach is being followed to minimize the traffic delay and effectively commute even in heavy traffic scenarios. The primary aim is to eliminate waiting time, during peak hours. Some added advantage that are to be implemented are dealing at the time of unusual situation such as emergency vehicles like ambulances, patrol vehicles, fire engines etc., Time is varied in propotional to the traffic density. Using this model will eliminate unwanted waiting time in peak traffic hours. Single camera is used in determining density of the traffic which will reduce the cost of implementing.