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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