Detection of Eye Blinking and Yawning for Monitoring Driverâ€™s Drowsiness in Real Time

Narender Kumar , Dr. N.C. Barwar

ABSTRACT Transportation safety is important for detection of Driverâ€™s Drowsiness. Drowsy driving is an important reason of traffic accidents. Driver Fatigue is one of the major reasons causing most fatal road accidents around the world. This shows that in the transportation industry specially, where a heavy vehicle driver is often open to hours of monotonous driving which causes fatigue without frequent rest period. Hence it is very essential to design a road accidents prevention system for detecting driverâ€™s drowsiness, which determines the level of driver inattention and give a warning when an impending hazard exists. In this paper, we provide a real time system using real time image processing, face/eye detection techniques, eye blink rates and yawning. The system is designed a non-intrusive real time monitoring system. The priority is on improving the safety of the driver without being obtrusive. In this work the eye blink and yawning of the driver is detected. If the driverâ€™s eyes remain closed for more than a certain period of time and the mouth of driver is open for yawning, the driver is said to be drowsy and an alarm is sounded. The programming for this is done in OpenCV using the Haarcascade library for the detection of facial features in viola Jones and for mouth detection using the Contour Activation Algorithm to find the contour of lips. Keywords:- Driver Face Detection, Driver Eye Detection, Driver Yawning Detection, Driver Drowsiness

Title:	Detection of Eye Blinking and Yawning for Monitoring Driverâ€™s Drowsiness in Real Time
Author Name:	Narender Kumar , Dr. N.C. Barwar
Abstract:	ABSTRACT Transportation safety is important for detection of Driverâ€™s Drowsiness. Drowsy driving is an important reason of traffic accidents. Driver Fatigue is one of the major reasons causing most fatal road accidents around the world. This shows that in the transportation industry specially, where a heavy vehicle driver is often open to hours of monotonous driving which causes fatigue without frequent rest period. Hence it is very essential to design a road accidents prevention system for detecting driverâ€™s drowsiness, which determines the level of driver inattention and give a warning when an impending hazard exists. In this paper, we provide a real time system using real time image processing, face/eye detection techniques, eye blink rates and yawning. The system is designed a non-intrusive real time monitoring system. The priority is on improving the safety of the driver without being obtrusive. In this work the eye blink and yawning of the driver is detected. If the driverâ€™s eyes remain closed for more than a certain period of time and the mouth of driver is open for yawning, the driver is said to be drowsy and an alarm is sounded. The programming for this is done in OpenCV using the Haarcascade library for the detection of facial features in viola Jones and for mouth detection using the Contour Activation Algorithm to find the contour of lips. Keywords:- Driver Face Detection, Driver Eye Detection, Driver Yawning Detection, Driver Drowsiness
Cite this article:	Narender Kumar , Dr. N.C. Barwar , " Detection of Eye Blinking and Yawning for Monitoring Driverâ€™s Drowsiness in Real Time " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 291-298 , ISSN 2319 - 4847.
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