AI-CCTV ACCIDENT ALERT SYSTEM

Divya, V. (2026) AI-CCTV ACCIDENT ALERT SYSTEM. JOURNAL OF ADVANCE AND FUTURE RESEARCH, 4. pp. 817-824. ISSN 2984-889X

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Abstract

Road accidents are a serious global problem, causing a large number of deaths and injuries every year. The delay in
detecting accidents and informing emergency services is one of the major reasons for increased fatalities.
Traditional methods rely on manual reporting, which is time-consuming and inefficient. To address this issue, an
AI-based CCTV Accident Alert System is proposed. The system uses CCTV cameras to continuously monitor traffic
and detect accidents automatically. It is powered by advanced Artificial Intelligence and Deep Learning techniques,
particularly the YOLOv8 algorithm for object detection. The system analyzes video frames in real time to identify
collisions and unusual vehicle behavior. Once an accident is detected, the system immediately sends alerts to
emergency services through SMS, calls, or a web dashboard. It also captures images and videos as evidence for
further investigation. This reduces response time significantly and helps in saving lives. The system is cost-
effective as it utilizes existing surveillance infrastructure. It is highly accurate and suitable for deployment in smart
cities and highways. Overall, the proposed system improves road safety by providing a fast and reliable accident
detection mechanism.

Item Type: Article
Subjects: Computer Science Engineering > Artificial Intelligence
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Last Modified: 06 May 2026 13:04
URI: https://ir.vistas.ac.in/id/eprint/13651

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