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Literature Survey: Drowsiness Detection using Computer Vision Technology

Author(s):

Apurva Patil , Atharva College of Engineering, University of Mumbai ; Archies Patil, Atharva College of Engineering, University of Mumbai ; Siddhi Shenoy, Atharva College of Engineering, University of Mumbai ; SiddheshPedamkar, Atharva College of Engineering, University of Mumbai ; Prof. Suvarna Pansambal, Atharva College of Engineering, University of Mumbai

Keywords:

Drowsiness Detection, Computer Vision Technology

Abstract

The basic idea of drowsiness detection is based on four parts: Background elimination, Face detection, Eye detection, and Mouth movement detection. A Drowsy Driver Detection System has been developed, using a non-intrusive machine vision based concepts. This paper lists some of the algorithms and features regarding the same.

Other Details

Paper ID: NCTAAP044
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 191-193

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