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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 15, ISSUE 3, MARCH 2026

AI CCTV ACCIDENT DETECTION

SUMESH NK, REVATHI A

DOI: 10.17148/IJARCCE.2026.153140
Abstract: Road accidents are one of the major causes of injuries and fatalities around the world. In many cases, delays in identifying accidents and informing emergency services increase the severity of the situation. This project focuses on developing a system that can detect road accidents using CCTV cameras. and artificial intelligence techniques to automatically detect road accidents the system analyses video footage captured from surveillance cameras to identify vehicle movement and possible accidents. YOLO (You Only Look Once).

When an abnormal situation such as a collision or sudden stop is detected, the system determines the location of the accident using a grid-based mapping method and sends an alert to the nearest patrol unit via email. The proposed system is developed using Python and computer vision libraries. This approach helps in reducing the response time of emergency services and improving road safety.

Keywords: Artificial Intelligence, CCTV, Accident Detection, YOLO, Smart Surveillance
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Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite:

[1] SUMESH NK, REVATHI A, “AI CCTV ACCIDENT DETECTION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.153140

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