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Real Time Eye Blinking and Yawning Detection

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Real Time Eye Blinking and Yawning Detection


Ohnmar Win



Ohnmar Win "Real Time Eye Blinking and Yawning Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2460-2463, URL: https://www.ijtsrd.com/papers/ijtsrd28004.pdf

Detecting eye blink and yawning is important, for example in systems that monitor the vigilance of the human operator, eg; Driver’s drowsiness. Driver fatigue is one of the leading causes of the world's deadliest road accidents. This shows that in the transport sector in particular, where a driver of heavy vehicles is often open to hours of monotonous driving which causes fatigue without frequent rest periods. It is therefore essential to design a road accident prevention system that can detect the driver's drowsiness, determine the driver's level of carelessness and warn when an imminent danger occurs. In this article, we propose a real-time system that uses eye detection techniques, blinking and yawning. The system is designed as a non-intrusive real-time monitoring system. The priority is to improve driver safety without being intrusive. In this work, the blink of an eye and the driver's yawn are detected. If the driver's eyes remain closed for more than a certain time and the driver's mouth is open to yawning, the driver is said to be fatigue.

eye blinking, yawning detection, Viola-Jones Algorithm


IJTSRD28004
Volume-3 | Issue-5, August 2019
2460-2463
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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