Driver Fatigue Research Paper

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Abstract:Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. In this report, we discuss a method for detecting drivers’ drowsiness using Haar Classifier[I] and Template Matching Algorithm. The system then subsequently alerts the driver in order to prevent accidents. It works by monitoring the eyes of the driver and sounding an alarm when he/she is drowsy with the help of a camera that points directly towards the driver’s face and capture the video. Once the video is captured, monitoring of the face region and eyes is done in order to detect fatigue. The system monitors eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsiness is detected, a warning signal is issued to alert the driver. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver. Yawn component is detected using Template Matching Algorithm to detect whether the driver is yawning or not and …show more content…

This issue has increased the urgency for driver inattentiveness and drowsiness detection system technology, to compensate for driver error. The system which is developed will run in a simulated environment with a subject (driver) sitting in front of the camera which is integrated with the software. This system will present a non-intrusive approach for drowsiness detection based on computer vision. A camera is placed in front of the driver in order to detect his face and obtain drowsiness clues form their eye closure and yawning component. If the system detects that the eyes are closed for a certain no. of frames then it will buzz an alert alarm indicating the driver to be

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