Open AccessAn Identification Framework to Determine Drowsy Drivers and Help in the Prevention of Road Accidents
Author(s) -
Tanmay Jain*,
Ayush Raina,
Sureshkumar N
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2570.1081219
Subject(s) - identification (biology) , face (sociological concept) , set (abstract data type) , segmentation , computer science , overtime , computer vision , artificial intelligence , transport engineering , computer security , engineering , social science , botany , sociology , political science , law , biology , programming language
There is less concentration to a possibly risky driving conduct - driving with fatigue. There has been a progression of innovation overtime to help drivers. In this paper, we propose a framework to check consciousness of a driver whether the person is an abled condition to drive. In this model, the individual's face is recorded by a camera with face detection, and segmentation to segment eye and mouth features accurately. We utilize the discovery of face eyes and mouth and apply behavioral measures, for example, eye conclusion and yawning to recognize the tiredness of the driver. The spotlight set on planning a framework that will precisely screen the eye developments. This check can identify sufficiently early to evade road accidents.