Design and Implementation of Drowsiness Detection for a Vehicle Driver Using Eye Aspect Ratio of Retina

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Lingam Rohith, Mote Meghana, Parchuri Supriya, Nafiza Nawaz, Mohammed Ismail B.

Abstract

The languor of the drivers is the primary driving mishaps occurring worldwide, just like India. Because of the absence of rest, sleepiness and laziness can happen while driving. The most ideal approach to dodge mishaps brought about by drivers' tiredness is to distinguish the languor of the driver and caution him before falling into rest. To recognize tiredness methods like eye retina discovery, facial component acknowledgment etc has been popular. Here in this paper, we propose a technique for recognizing driver sluggishness using eye retina recognition. In this simulation, we propose and implement a more accurate sleepiness identification strategy, which is based on half-and-half method of eye retina location.

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