SMART TRAFFIC CONTROL SYSTEM USING IMAGE PROCESSING

Published Dec 07, 2021
 6 hours to build
 Beginner

This project implement methods to manage traffic in appropriate lanes to avoid traffic congestion in road.

display image

Components Used

LED 5mm
LED 5mm
3
AK9753 IR sensor
AK9753 is a low power and compact IR (infrared) sensor module.
1
8051 AT89S52
8051 AT89S52
1
USB TO TTL Converter
Interface Modules USB TO TTL 3.3V 1 PORT WITH DB9M
1
USB Webcam
Cameras & Camera Modules USB 2.0 WEBCAM1080PLNSCVEMICAD
1
Description

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

 

Empty road image taken has reference image 

 

Real time image 

 

Codes

Downloads

STC-Micro1 Download

Institute / Organization

BANNARI AMMAN INSTITUTE OF TECHNOLOGY, SATHYAMANGALAM
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