Automated Traffic Signal System Using Computer Vision Techniques

The main purpose of this project is the development of an automated traffic system that uses machine learning and computer vision techniques to regulate road traffic automatically without the need of any traffic warden. By doing so, any chance of congestion/ overcrowded roads near traffic signals ca

Project Title

Automated Traffic Signal System Using Computer Vision Techniques

Project Area of Specialization

Artificial Intelligence

Project Summary

The main purpose of this project is the development of an automated traffic system that uses machine learning and computer vision techniques to regulate road traffic automatically without the need of any traffic warden. By doing so, any chance of congestion/ overcrowded roads near traffic signals can be lessened or eliminated which would reduce overall rush hours and allow traffic to move smoothly. This in result will save time and traveling cost which will also contribute in the growth of the economy of our country.

Project Objectives

The traditional traffic control system in Pakistan not only has the problem of long wait time and also lacks to manage the changing traffic flow. This approach results in traffic jam in rush hours (Office, school, college, timing etc.). The signals are currently working on a pre-timed duration (which means every signal is set by a time) or the traffic is managed by traffic wardens manually in rush hours but sometimes even they are not able to manage efficiently. The other problem is as traffic signals are working on fix time frame so even if there is no traffic on one side of the road the other side of traffic have to wait for their signal to turn green, which is inefficient.

Project Implementation Method

Project milestones and deliverables

Our main focus to build the project by our own. we use different tools and languages:

Implementation Tools and Techniques

• Machine Learning
• Computer Vision Techniques
• MySQL Database
• Python
• Image Processing

Benefits of the Project

Upon observing, one can see that the traffic condition in our country is less than satisfactory. Roads overcrowded with vehicles are common sight. This mainly caused by the inefficiency of traffic management as the traffic system is quite out-dated and any changes must be made on site. In order to create a system that is much more efficient than the current one, we intend to incorporate machine learning so that the system can learn about different traffic scenarios and adapt accordingly. By doing so, flow of traffic can be regulated effectively without the need for physical personnel.

Technical Details of Final Deliverable

These are limitations that this system has developed under:

• System is only for English Language.
• Maintainability: should be easy to make changes in system.
• Database Connectivity – Database server may have connectivity issue which may hinder other functionality of the system.
• Memory Management
• Parallel/Batch processing – How system shall perform under high user traffic.

Following are the tools and language we are using.

• Machine Learning
• Computer Vision Techniques
• MySQL Database
• Python
• Image Processing

Final Deliverable of the Project

Software System

Core Industry

Others

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com