Accident Predicting AI Traffic Camera

Girija Muniyappan, Dr. Divya Venkatraman (2025) Accident Predicting AI Traffic Camera. 6476727.

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Abstract

An AI-powered traffic camera system designed to predict road accidents in real time. The system uses computer vision and deep learning models to analyze live traffic footage. It identifies risky patterns such as over-speeding, lane violations, and sudden braking. By leveraging historical and real-time data, the model forecasts potential collisions before they occur. The system sends instant alerts to traffic authorities and nearby vehicles. It improves response time and helps in proactive accident prevention. Experimental results show high accuracy and reliability in diverse traffic conditions. This approach contributes to smarter and safer urban transportation systems.

Item Type: Patent
Subjects: Computer Science Engineering > Deep Learning
Domains: Computer Science Engineering
Depositing User: Mr IR Admin
Last Modified: 06 May 2026 16:30
URI: https://ir.vistas.ac.in/id/eprint/13766

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