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مشاريع التخرج
Traffic Congestion Detection Using Deep Learning
تقنية المعلوماتطلابالمقر الرئيسي

Traffic Congestion Detection Using Deep Learning

بإشراف: Dr. Suliman Aladhadh

وصف المشروع

This project focuses on developing an intelligent traffic management system capable of detecting sudden traffic jams using computer vision and deep learning techniques. the system is integrated with Cat’s Eye on the Road as an alarm method , These Cat’s Eyes are embedded in the road and are programmed to blink or change color to alert drivers when sudden congestion is detected ahead, improving road safety and response time.

مجالات المشروع

Computer VisionData Analysis

فريق المشروع

Abdualziz Alsulaim

391110124

Fares Alharbi

391108062

مشاريع التخرج
مطور الموقع:albrrak773
تصميم الهوية:أمل الرحيمي
تفاصيل تقنية للنيردات

Jawad Alsallom

412115937

Faisal Almosaimer

392111887