Masar
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Date
2025-12-01
Authors
AlGhanim, Abdulmohsen
Alshuwaie, Ali
Abdullah, Anwar
AlAdwani, Fahad
Awadh, Yousef
Dr. Ahmad, Ali
Journal Title
Journal ISSN
Volume Title
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Abstract
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.