Fatigue Detection for Vehicle Monitoring Using Computer Vision

Vikash, Dr. N.C. Barwar

ABSTRACT In recent years, the motor vehicles are growing at a faster rate than the economic and population growth. The surge in motorization coupled with expansion of the road-network has brought with it the challenge of addressing adverse factors such as the increase in road accidents. As per the RTI around 60% of total road accidents are caused due to driverâ€™s fatigue (drowsiness). This dissertation provides a system using real time face and eye detection techniques further eye blink rates to find out the drowsiness. There are various approaches in computer vision for fatigue detection i.e skin segmentation, template matching, neural networks etc. But one of the fast and most used methods is Viola-Jones object detection algorithm. The performance analyses of viola-jones object detection have been explored taking male and female as subjects. Further, to ensure real-time computation, Haar-cascade samples are used to differentiate between normal eye blink rate to drowsiness. This dissertation attempts to study the drivers drowsiness technique using Viola-Jones detection method on Computer Vision (OpenCV) platform which is open source and developed by Intel. Keywords: fatigue detection, eye blink opencv, driver drowsiness detection, drowsy detection opencv,

Title:	Fatigue Detection for Vehicle Monitoring Using Computer Vision
Author Name:	Vikash, Dr. N.C. Barwar
Abstract:	ABSTRACT In recent years, the motor vehicles are growing at a faster rate than the economic and population growth. The surge in motorization coupled with expansion of the road-network has brought with it the challenge of addressing adverse factors such as the increase in road accidents. As per the RTI around 60% of total road accidents are caused due to driverâ€™s fatigue (drowsiness). This dissertation provides a system using real time face and eye detection techniques further eye blink rates to find out the drowsiness. There are various approaches in computer vision for fatigue detection i.e skin segmentation, template matching, neural networks etc. But one of the fast and most used methods is Viola-Jones object detection algorithm. The performance analyses of viola-jones object detection have been explored taking male and female as subjects. Further, to ensure real-time computation, Haar-cascade samples are used to differentiate between normal eye blink rate to drowsiness. This dissertation attempts to study the drivers drowsiness technique using Viola-Jones detection method on Computer Vision (OpenCV) platform which is open source and developed by Intel. Keywords: fatigue detection, eye blink opencv, driver drowsiness detection, drowsy detection opencv,
Cite this article:	Vikash, Dr. N.C. Barwar , " Fatigue Detection for Vehicle Monitoring Using Computer Vision " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 7, July 2014 , pp. 185-196 , ISSN 2319 - 4847.
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