Masar
Description
Masar is an Al-powered traffic light controller that uses cameras and machine learning to manage traffic flow more efficiently in real time. By analyzing live video feeds, the system adjusts Signal timings based on actual traffic conditions, helping to reduce congestion, emissions and improve road safety. Built with Python for Al processing, Arduino for hardware control, Python for the user interface, and Firebase for cloud data handling. Masar also integrates ChatGPT to offer user support or system insights.
Authors
- Abdulmohsen AlGhanim
- Ali Alshuwaie
- Anwar Ali Abdullah
- Fahad AlAdwani
- Yousef Awadh
Supervisor
- Dr. Ali Ahmed
