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Driver Fatigue Detection Using Image Processing

Radhika Raj1 , Betsy Chacko2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 780-782, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.780782

Online published on Mar 31, 2019

Copyright © Radhika Raj, Betsy Chacko . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Radhika Raj, Betsy Chacko, “Driver Fatigue Detection Using Image Processing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.780-782, 2019.

MLA Style Citation: Radhika Raj, Betsy Chacko "Driver Fatigue Detection Using Image Processing." International Journal of Computer Sciences and Engineering 7.3 (2019): 780-782.

APA Style Citation: Radhika Raj, Betsy Chacko, (2019). Driver Fatigue Detection Using Image Processing. International Journal of Computer Sciences and Engineering, 7(3), 780-782.

BibTex Style Citation:
@article{Raj_2019,
author = {Radhika Raj, Betsy Chacko},
title = {Driver Fatigue Detection Using Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {780-782},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3916},
doi = {https://doi.org/10.26438/ijcse/v7i3.780782}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.780782}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3916
TI - Driver Fatigue Detection Using Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Radhika Raj, Betsy Chacko
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 780-782
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Nowadays, most of the accidents were related to driver fatigue, drowsiness and driver inattention caused by various distractions inside and outside the vehicle. Falling asleep while driving, is a major cause of road accidents. Car accidents associated with driver fatigue are more likely to be serious, leading to serious injuries and deaths. In this paper a vision-based driver fatigue detection system is proposed in which the system will directly give an indication of drowsiness to prevent accidents. The system tracks human eye and eyelid behavior, looking for the duration of blinks for detecting the drowsiness.

Key-Words / Index Term

Driver Fatigue Detection, Face Detection, Eye Detection, SURF, SVM Classifier, Viola-Jones Face Detection

References

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