SMART TRAFFIC CONTROL SYSTEM USING IMAGE PROCESSING

Aim:

Implement methods to manage traffic in appropriate lanes.

Objective:

• To avoid traffic congestion in road by detecting the crowd and setting the signal accordingly.
• To help the ambulance drivers reach in time without any disturbance.

Proposed Methodology

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 to capture videos. Then the captured video is converted into image sequences. Setting image of an empty road as reference image, the converted images are sequentially matched using  image matching. 

Edge detection has to be carried out using Prewitt edge detection operator and according to percentage of   matching traffic light duration's can be controlled. 

Prewitt operator is used for edge detection in an image. It detect two types of edges,

1. Horizontal edges
2. Vertical Edges

System Architecture

Setting the Signals

Result