Real Time Drowsiness Detection System using Viola Jones Algorithm
Author(s) -
Rohan Putta,
Gayatri Shinde,
Punit Lohani
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/16615-6459
Subject(s) - computer science , viola , artificial intelligence , algorithm , viola–jones object detection framework , pattern recognition (psychology) , art history , face detection , art , piano , facial recognition system
Among the many problems faced by the country, deaths and injuries due to road traffic accidents are extremely common. Driver’s drowsiness is one of the major reasons which lead to these mishaps. In this paper, we are discussing a ‘Real Time Drowsiness Detection System’ which could determine the level of drowsiness of the driver. This system considers both the closing of eyes and yawning as the constraints for determining the degree of drowsiness. Viola Jones Algorithm is used for facial features detection. Primary attention is given to faster detection and processing of data. Driver’s drowsiness will be detected by checking whether the eyes are closed over some particular consecutive frames and similarly it can be checked if the driver is yawning by monitoring the mouth region. If the closing of eyes and yawning indicates that the driver is drowsy then an alarm will be triggered. General Terms Feature Detection, Computer Vision, Machine Learning
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