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Real Time Drowsiness Detection System using Viola Jones Algorithm

by Rohan Putta, Gayatri N Shinde, Punit Lohani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 8
Year of Publication: 2014
Authors: Rohan Putta, Gayatri N Shinde, Punit Lohani
10.5120/16615-6459

Rohan Putta, Gayatri N Shinde, Punit Lohani . Real Time Drowsiness Detection System using Viola Jones Algorithm. International Journal of Computer Applications. 95, 8 ( June 2014), 28-34. DOI=10.5120/16615-6459

@article{ 10.5120/16615-6459,
author = { Rohan Putta, Gayatri N Shinde, Punit Lohani },
title = { Real Time Drowsiness Detection System using Viola Jones Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 8 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number8/16615-6459/ },
doi = { 10.5120/16615-6459 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:54.532005+05:30
%A Rohan Putta
%A Gayatri N Shinde
%A Punit Lohani
%T Real Time Drowsiness Detection System using Viola Jones Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 8
%P 28-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. P. Viola et M. Jones, Rapid object detection using boosted cascade of simple features, Proceedings IEEE Conf. on Computer Vision and Pattern Recognition 2001.
  2. Junguk Cho, Shahnam Mirzaei, Jason Oberg, Ryan Kastner "FPGA-Based Face Detection System Using Haar Classifiers" FPGA'09, February 22-24, 2009, Monterey, California, USA. ACM 978-1-60558-410-2/09/02.
  3. G. Bradski and A. Kaehler, "Learning OpenCV: Computer Vision with the OpenCV Library," O'Reilly Media, Inc. , 2008.
  4. OpenCv Documentation.
  5. Tripathy, Birendra Nath and Dash, Abinash (2012) Prototype Drowsiness Detection System. BTech thesis.
Index Terms

Computer Science
Information Sciences

Keywords

OpenCV Viola-Jones Algorithm Haar Classifier

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