العربية 
Sana’a- Within the framework of outstanding graduation projects, a team of female students from the Information Systems Department at the Faculty of Computing and Information Technology, University of Science and Technology (UST), successfully developed an integrated smart system named “SmartTraffic Yemen System” for the 2025–2026 academic year.
The project aims to provide a practical technical solution to address traffic congestion and accident issues in Yemen by leveraging artificial intelligence (AI) and computer vision technologies.
Key Functions and Components of the System:
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Accident Detection: Automated video analysis to instantly detect and document accidents upon occurrence.
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Vehicle Tracking: License Plate Recognition (LPR) and instant alert dispatching.
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Dashboard: Real-time display of traffic density statistics and performance indicators.
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Citizen Application: Empowers citizens to report accidents and check road conditions.
