Research paper on driver drowsiness detection

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Kumaran, R. Deepak Kumar, M. Karthick Kumar, B. AbstractDrowsy driving is one of the major causes of road accidents and death. Hence, detection of drivers fatigue and its indication is an active research area. Most of the conventional methods are either vehicle based, or behavioural based or physiological based.
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Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure

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Driver Drowsiness Detection – IJERT

Drowsy Driver Detection System has been developed using a non-intrusive machine vision based concepts. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The algorithm developed is unique to any currently published papers, which was a primary objective of the project. The system deals with using information obtained for the binary version of the image to find the edges of the face, which narrows the area of where the eyes may exist. Once the face area is found, the eyes are found by computing the horizontal averages in the area.
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Eye Detection

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Distracted driving is composed of actions such as texting, talking on the phone, eating and drinking, etc. Distracted driving is costly to society because it is incredibly dangerous, costs large sums of money, and can cause good people to become criminalized. Distracted driving is costly to society because it is incredibly dangerous. For example, in the United States alone, over 3, people are killed and , people are injured annually due to accidents involving distracted driving No Author Listed, Anytime a driver is operating a vehicle and not paying full attention to the road, the chances of an accident occurring increases greatly.
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