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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Indexing

Abstract

DRIVER AIDED SYSTEM USING FATIGUE DETECTION

Kajal Karbhal, Madhumati Kavale,* Supriya Kumbhar and Nikhil Lohar

ABSTRACT

The main motive of this project is to develop android application which detects driver fatigue and give safety alert to driver. By analyzing some facial expression it is possible to detect that driver falling asleep. Increased forehead lines, Eyelids moment, as well as yawning moment are the facial expression which can be consider as early signs of drowsiness. Systematic combination of signs of drowsiness will help to give much more accurate characterization of fatigue state than using single symptom of fatigue.

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