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IMU based Accident Detection and Intimation System

Prasanmit Nath, Ajay Malepati

Year
2018
Citations
13

Abstract

Road traffic accidents are the biggest causes of transport related fatalities in the world. Delay in EMS (emergency medical services) to the affected is the leading cause of fatalities in such cases. The first step to minimise this delay is to have an automated system to detect an accident and intimate its location and severity to the EMS, which can then take necessary action to reach the site at the earliest. This work deals with the development of a low cost standalone system that can be placed in any vehicle to detect a crash scenario and intimate its severity and location to an EMS. The objective is to make this system compatible and affordable for lower-end and older vehicles. The system was tested and implemented on a dummy wheeled robot to verify the algorithms.

Keywords

Computer scienceInertial measurement unitArtificial intelligenceComputer visionComputer security

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