International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.8, No.6, Jun. 2016

Driver Fatigue Estimation Using Image Processing Technique

Full Text (PDF, 650KB), PP.66-72

Views:116   Downloads:8


Vijayalaxmi, D. Elizabeth Rani

Index Terms



A Fatigue Detection system has been developed using non-intrusive vision based approach. The system uses a Logitech USB camera which points towards driver's face and monitors face and eyes to detect driver fatigue. The system is developed on Linux operating system and used DM3730 processor as hardware. The algorithm is developed to estimate whether eyes are open or closed and fatigue is estimated using PERCLOS method. Normal human blinks eyes 12 times in a minute. If the eyes are closed for 15 consecutive frames in a minute or if PERCLOS > 80% than system issues warning to stop the vehicle. The algorithm is tested on 45 different persons i.e., 15 women, 15 men and 15 persons wearing spectacles and the detection rate is 99.2%. The system takes <5ms of time to detect whether eyes are open or closed and the hardware used is small in size and easily implementable.

Cite This Paper

Vijayalaxmi, D. Elizabeth Rani,"Driver Fatigue Estimation Using Image Processing Technique", International Journal of Information Technology and Computer Science(IJITCS), Vol.8, No.6, pp.66-72, 2016. DOI: 10.5815/ijitcs.2016.06.09


[1]W. W. Wierwille, S. S. Wreggit, C. L. Kirn, L. A. Ellsworth, and R. J. Fairbanks III, “Research on vehicle-based driver status/performance monitoring: development, validation, and refinement of algorithms for detection of driver drowsiness,” National Highway Traffic Safety Administration, U.S. DOT Tech Report No. DOT HS 808 247, 1994.  

[2]Artaud, Mabbott,-1999, Lavergne, 1996, Vitabile,2007-08, Eskandarian.A & R.Sayed in 2005, “Monitoring the response of drivers.

[3]Boyraz.P.,Leicester,Hansen J.H.L, Sensing of Vehicle response, 2008.

[4]Neeta Parmar, Drowsy Driver Detection System, in 2002. 

[5]Martin Gallagher, “Development of a driver alert system for road safety”, in 2006-07.

[6]Nidhi Sharma, Prof. V. K. Banga, “Development of a Drowsiness Warning System based on the Fuzzy Logic”, International Journal of Computer Applications (0975 – 8887) Volume 8– No.9, October 2010.

[7]M. J. Black, Y. Yacoob, Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion. International Journal of Computer Vision. Vol. 25(1), October 1997, pp. 23 – 48; available online at

[8]Jeffrey Huang, David Lie, Xuhui Shao, Harry Wechsler, Pose Discrimination and Eye Detection using SVM.

[9]M. Pardas, Extraction and Tracking of the Eyelids. International Conference on Acoustics, Speech and Signal Processing ICASSP 2000,4: 2357-2360, Istambul, Turkey, June 2000 ; available online at

[10]S. Sirohey, A. Rosenfeld, Z. Duric, A method of detecting and tracking irises and eyelids in video , Pattern Recognition, Vol.35 (2002), pp.1389–1401; available online at

[11]Zhiwei Zhu, Quing Ji, Robust real time eye detection and tracking under variable lighting conditions and various face orientations,Preprint submitted to Elseiver Science , July 5, 2004.

[12]Qiong Wang, Jingyu Yang, Eye detection in facial images with unconstrained background, Journal of pattern recognition research 1, 2006, published 25 sep 2006, pp.55-62.

[13]Qiong Wang, Jingyu Yang, Eye location & eye state detection in facial images with unconstrained background, Journal of information and computing science, Vol.1, No.5, 2006,pp.284-289.

[14]Peng Wang, Matthew B, Green, Qiang Ji, James Wayman,Automatic Eye detection and its Validation,.

[15]Hyoung-Joon Kim and Whoi-Yul Kim, Eye detection in facial images using Zernike moments with SVM, ETRI journal, Vol.30, Nov,2,April 2008 pp. 335-337.

[16]Hawlader Abdullah Al-Mamun, Nadim Jahangir, Md. Shahedul Islam and  Md. Ashraful Islam, Eye Detection in Facial Image by Genetic Algorithm Driven Deformable Template Matching. Vol.9, August,2009,

[17]Tanmay Raj pathak, Ratnesh kumar & Eric Schwartz, Eye detection using morphological and colour image processing, Florida Conference on recent advances in Robotics, 2009, pp.1-6.

[18]Mihir Jain, Suman K.Mitra, Naresh D.Jotwani, Eye detection using line edge MAP template.

[19]Shylaja S S, K N Balasubramanya Murthy, S Natarajan, Nischith, Muthuraj R, Ajay S, Feed forward neural network based eye localization and recognition using hough transform, International journal of advanced computer science and applications, Vol.2, No.3, March-2011, pp.104-109.

[20]Rakhi C Motwani, Mukesh C Motwani,Dr.Frederick C. Harris,Jr., Eye Detection using Wavelets and ANN.

[21]Ms.Vijayalaxmi, Mr.Sreehari, “Knowledge based template for Eye detection”, National Conference on Microwave,Antenna&Signal Processing, pp.90 ,April 2011.

[22]Vijayalaxmi, P.Sudhakar, Sreehari, “Neural Network Approach for eye detection”, The Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012), May 26-27, Delhi, India, Proceedings Volume Editors: David C. Wyld, Jan Zizka, Dhinaharan Nagamalai ISBN : 978-1-921987-03-8,(2012).

[23]P.Sudhakar Rao, Vijayalaxmi, S.Sreehari, “New procedure for Segmenting Eyes from human Face”, International Journal of Emerging Technologies and Applications in Engineering, Technology and Sciences, ISSN:0974-3588 July-Dec, Volume 4,Issue 2,(2011).

[24]Elsenbruch,S., Harnish,M., and Orr,W.C., “Heart rate variability during waking and sleep  in healthy males and females,” Sleep, Volume 22, pp.1067-1071, (1999).

[25]Martin Gallagher, “Development of a driver alert system for road safety”, in (2006-07).