Fatigue Detection Based on Eye Tracking

This paper presents the development of a fatigue detection system that would be capable of detecting an individual’s level of alertness through live video acquisition. The approach is to build a nonintrusive system that uses computer vision methods to localize face, eyes, and iris positions to measure level of eye closure within an image, which, in turn, can be used to identify visible eye signs associated with fatigue leading to a sleepy state. The aim here is to detect this state early enough and issue a warning or alert in the form of an alarm.

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