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Surveillance Based Accident Detection and Alert Generation System

Sidhu S. Kumar, Jyothish A, Harinarayanana S, Naveen Shah Huzain, Vivitha Vijay

Abstract


The increase in the number of vehicles in today's times has led to a rise in traffic dangers and accidents on the roads. This surge in road accidents has also led to an escalation in the number of fatalities resulting from these incidents. One of the main causes of this rise in fatalities is the unavailability of immediate emergency services. The delays occur due to traffic jams and poor communication with medical response teams. The proposed solution aims to introduce an automated accident detection system with an alert feature to provide prompt assistance when needed urgently. This surveillance system incorporates a sophisticated deep learning technology called Convolutional Neural Network, designed to identify accidents in real- time and promptly notify the relevant authorities and medical teams via email alerts. Once the alert is received, an alarm will be triggered to immediately inform the authorities about the incident, ensuring a quicker response and detailed reporting to the emergency services, including a snapshot of the accident, time, and location.

 


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References


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