Traffic Surveillance System

IOT BASED REAL TIME TRAFIC CONTROL USING CLOUD COMPUTING

Abstract—The number of vehicles on the road is increasing rapidly, as a result of which we face many problems. The rapid increase in the number of vehicles has given rise to the traffic jam, which is a major problem these days. The effect of traffic jam also effects the operation of ambulance. The traffic control becomes one of the major areas of research. To avoid the traffic jam for the ambulance, a new idea is developed. In this paper we propose a new concept to avoid traffic jam for the ambulance and thus saving the life of an individual. At first the ambulance is detected and the information about the arrival of the ambulance is sent to the next station. The ambulance will make

In [1] the detection of vehicle which demonstrates the hazardous traffic pattern, as in case of ambulance, has been discussed. [1] also discusses upon the abnormal traffic situation and also the propagation of information. In this paper we propose a system to detect the ambulance in the traffic and make way for the ambulance and clear the traffic using digital image processing. [2] discusses about the automatic traffic surveillance system using digital image processing. In [2] the camera is used to take the picture of the road to identify the traffic density. Micro controllers are used to transfer the data to control the traffic light. Sensors are used to detect the number of vehicles. The camera output is given to the micro controller for the processing and traffic lights are controlled using micro controller. We employ vehicle detection to detect the presence of ambulance. The siren is detected using audio recognisation algorithms. In [3] describes the low cost solution to speech

It deals with the data reception from the remote server and also to exchange data with common software. [6] also describes about the various architecture in common software.

Thus database about the vehicles which do not follow the announcement is maintained and can be used for further processing in future.

There are several algorithms for the detection of number plates is implemented based on morphological filtering [7]. Moving vehicles can be detected using segmentation method, background subtraction, adaptive motion histogram [8]-[9]-[10]. Various technique for vehicle detection and moving vehicle detection using filtering techniques and many more are discussed in [11] and [12].

Traffic has created lot of problem and has resulted in waste of time. Traffic has also caused increased stress of human beings. It is very necessary to come up with a solution for the problem of traffic. If emergency vehicles such as, ambulances, fire engines, get struck in the traffic may lead to the severe problem. Thus in this we propose a system to monitor the traffic and facilitate the easy way to the ambulance.

V. PROPOSED