Drowsiness Detection using Image Processing

Palak Agarwal; Naveen Pal; Ayushi Rohela; Ashish Yadav

Abstract

These days, an ever increasing number of callings require long haul focus. Drivers must watch out for the street, so they can respond to unexpected occasions right away. Driver exhaustion regularly turns into an immediate reason for some auto collisions. In this way, there is a need to build up the frameworks that will identify and tell a driver of her/him awful psychophysical condition, which could altogether lessen the quantity of exhaustion related auto collisions. In any case, the advancement of such frameworks experiences numerous challenges identified with quick and appropriate acknowledgment of a driver's weakness side effects. One of the technical possibilities to implement driver drowsiness detection systems is to custom the vision-based method. This article presents the currently used driver drowsiness detection systems. Here we are detecting the driver drowsiness by estimating vision system of him.

Keywords

Image Processing, Machine Learning, Drowsiness Detection

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Cites this article as

P. A. , N. P. , A. R. , A. Yadav, "Drowsiness Detection using Image Processing", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-6, Page No-238-239, 2018. Available from: