Aug 2026· International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-]· pp. 1740-1747· 0 citations· 18 references
An AI-powered real-time Vehicle Accident Detection system developed using Python, OpenCV, and Deep Learning techniques that improves accident detection accuracy compared to traditional methods and reduces dependency on manual monitoring.
Anisha R, K. S. Thirunavukkarasu· International Journal of Sci...· 0 citations
Results show that the proposed framework can provide accurate and timely accident detection while supporting rapid V2X warning dissemination for next-generation intelligent transportation systems.
Danish Ather, M. Talipov· Mathematical Models in Engin...· 1 citation
A lightweight highway accident scene recognition algorithm based on an improved YOLOv8n that enables automatic accident detection through real-time video analysis and could promptly send alerts to traffic management centers, potentially facilitating rapid dispatch of rescue resources and traffic control, thereby offeri...
Dengcong Mu, Zitang Wei, Zheng Li et al.· Engineering Research Express· 0 citations
This paper presents a real-time automobile accident detection and emergency-alert framework for CCTV-based road surveillance. The system uses YOLOv8 to detect vehicles and produce bounding boxes, class labels, and confidence scores. ByteTrack maintains vehicle identities across frames, allowing the computation of cente...
Eshwaroju Ajay and Dr. Bitla Prabhakar· International Journal of Adv...· 0 citations
Road traffic accidents caused by driver fatigue continue to be a major public safety concern, highlighting the need for intelligent and real-time monitoring systems. This paper presents a Smart Driver Drowsiness Detection and Advanced Emergency Communication System that combines computer vision, deep learning, and auto...
Dhanalakshmi, Venkata Yamuna Chirumalla· International Journal of Eng...· 0 citations
A novel vision-based system for lane detection and roadside traffic sign recognition using advanced artificial neural network architectures that delivers fast, accurate, and robust simultaneous lane and traffic sign detection, significantly improving real-time road safety and driver assistance.
Viraj Sonawane, B. Agarkar, Sachin Chaudhari· International Journal of Adv...· 0 citations
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