Smart Traffic Detection and Control Using Canny Edge Detection Algorithm

Abstract

The project which is entitled as density based smart traffic control system using canny edge detection algorithm for 
congregating traffic information deals with problem of urban traffic congestion. As the population in the urbanareas 
increasing there is a necessity for an effective and smart traffic control system using advanced and latest technology 
and equipment to improve the traffic control. The current methods for controlling traffic are timers or human control 
are proved to be ineffective as the traffic is increasing rapidly. In this project we are developing a method where 
the time is allocated according to the measure of the vehicle density using canny edge detection with digital image 
processing is proposed. This imposing traffic control system offers great improvement in response time, vehicle 
management, automation, reliability and overall efficiency over the existing systems. To implement this technique 
we are uploading the current traffic image to the application and application will extract edges from images and if 
there is more traffic then there will be more number of edges with white color and if the uploaded image contains 
less traffic then it will have less number of white color edges..