Conference
Open access
2026
A Smart City Framework for Real-Time Traffic Monitoring and Accident Detection
This research aims to provide a smart city architecture that can detect accidents and track traffic in realtime using edge-cloud computing, deep learning-based video analytics, and IoT sensing and exhibits low response time, robustness under varying traffic and lighting conditions, and outstanding detection accuracy.
R. Elankavi, Imran Alam, Mogadala Mounika et al.
· ITM Web of Conferences · 0 citations