Drowsy Driver Detection System

Authors(3) :-Gude Ramarao , S. Somnath, D. V. Sashidhar Yadav

Every year the amounts of deaths and injuries are increasing in traffic accidents due to human errors. Drowsiness and driving is a very hazardous and it is very difficult to identify. After alcohol drowsiness is the second leading cause of the road accidents. People are conscious about the risk of drinking and driving but don't realize the dangerous of drowsiness because no instruments exist to measure the driver drowsiness. This paper presents a new approach towards automobile safety and security. In recent time's automobile fatigue related crashes have really magnified. In order to minimize these issues, we have incorporated an improved sleep detection and driver alert system by monitoring the driver's eyes. This describes how to find and track the eyes. We also describe a method that can determine if the eyes are open or closed. The main criterion of this system is that it must be highly non-intrusive and it should start when the ignition is turned on without having at the driver initiate the system. Nor should the driver be responsible for providing any feedback to the system. The system must also operate regardless of the texture and the color of the face. It must also be able to handle diverse condition such as changes in light, shadows, reflections etc. In given paper a drowsy driver warning system using image processing.

Authors and Affiliations

Gude Ramarao
Associate Professor, Department of ECE, G.Pullaiah College of Engineering and Technology, Pudur, Andhra Pradesh, India
S. Somnath
B. Tech, G. Pullaiah College of Engineering And Technology, Pudur, Andhra Pradesh, India
D. V. Sashidhar Yadav

Face, Accuracy, Vehicles, Feature extraction, Fatigue, Face detection.

  1. Ralph Oyini Mbouna, Seong G. Kong, SeniorMember,IEEE,(2013),Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring, (IEEE),pp.1462-1469,vol.14,USA
  2. S. Vitabile, A. De Paola, F. Sorbello, J Ambient Intell Human Comput, "A real-time non-intrusive FPGA-based Drowsiness system" Springer, pp.251-262, University of Palermo, Italy 2011
  3. Road safety information, rospa, "driver fatigue and road accidents",www.rospa.com, 2011
  4. Arun Sahayadhas,Kenneth Sundaraj,"Detecting Driver Drowsiness Based on Sensors A Review",pp.16937-16953, ISSN 1424-8220, Malaysia 2012 http://djhurij4nde4r.cloudfront.net/images/images/000/005/917/fullsize/eskandarian.png?1386903510
  5. Anirban dasgupta,anjith george,"A Vision Based System For Monitoring The Loss Of Attention in Automotive Drivers",(IEEE Transaction),vol.14,no.4 2013
  6. AntoinePicot,SylvieCharbonnier,"On-Line Detection of Drowsiness Using Brain and Visual Information",IEEE Transaction on systems, man and cybernetics part a: systems and humans, VOL. 42, NO. 3,2012
  7. Boon-Giin Lee and Wan-Young Chung, "Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals", (IEEE) Sensors journal, vol. 12, no. 7,2012
  8. Ralph Oyini Mbouna, Seong G. Kong, Senior Member, "Visual Analysis of Eye State and Head Pose for Driver AlertnessMonitoring",IEEE transactions on intelligent transportation systems, VOL. 14, NO. 3 2013
  9. Rami N. Khushaba, Sarath Kodagoda, Sara Lal, and Gamini Dissanayake,"Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm", (IEEE) Transactions vol. 58, no. 1, 2011.
  10. Raoul Lopes , D.J Sanghvi, Aditya Shah,"Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation", Vol. 2, No.6,2012
  11. Wei Zhang, Bo Cheng, Yingzi Lin," Driver Drowsiness Recognition Based on Computer Vision Technology",(IEEE) Vol.17, No.3, 2012.
  12. Karamjeet Singh,Rupinder Kaur,"Physical and Physiological Drowsiness Detection Methods", IJIEASR, pp.35-43,vol.2,2013.
  13. Dr. Xiong (Bill) Yu, P.E.,"Non-Contact Driver Drowsiness Detection System",(safety IDEA),2012
  14. Di Huang, Student Member, IEEE, Caifeng Shan, Member, IEEE,"Local Binary Patterns and Its Application to Facial Image Analysis A Survey",(IEEE ),pp.765- 781,vol.41,2011.http://www.scholarpedia.org/article/Local_Binary_P atterns
  15. http://www.tytlabs.com/images/tech/photo/tec3_detail_ph08-1.jpg
  16. Jarek Krajewski,David Sommer,"Steering Wheel Behavior Based Estimation Of Fatigue", Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Germany.
  17. L. Bergasa, J. Nuevo, M. Sotelo, R. Barea, and M. Lopez ,"RealTime System for Monitoring Driver Vigilance", (IEEE) Transactions on Intelligent Transportation Systems, Vol. 7, no. 1, March 2006
  18. Artem A. Lenskiy and Jong-Soo Lee, "Driver’s Eye Blinking Detection Using Novel Color and Texture Segmentation Algorithms", International Journal of Control, Automation, and Systems,pp.317-327, 2012
  19. Amol M. Malla, Paul R. Davidson, Philip J. Bones, Richard Green and Richard D. Jones,"Automated Video-based Measurement of Eye Closure for Detecting Behavioral Microsleep", presented at 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina 2010
  20. http://www.medialt.no/pub/uikt/u2010/011-Krolak/index.html
  21. Shivangi R.Mishra, Prof. S. B. Somani, Pranjali Deshmukh, Daman Soni, "EEG Signal Processing and Classification of Sensorimoter rhythm-based BCI",(IJERT),International Journal of Engineering Research & Technology Vol. 1 Issue 4, 2012
  22. Behnoosh Hariri, Shabnam Abtahi,Shervin Shirmohammadi , LucMartel," A Yawning Measurement Method to Detect Driver Drowsiness ".Vandna Saini et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014, 4245-4249 www.ijcsit.com 4248
  23. Dr.Suryaprasad J, Sandesh D, Saraswathi V, Swathi D, Manjunath S," Real Time Drowsy driver Detection using Haarcase samples", pp.45–54, 2013
  24. R.sukanesh, V.vijayprasath, "Certain Investigations on Drowsiness Alert system based on Heart Rate Variability using labview" E-ISSN:2224-3402, Issue 11, Volume 10, November 2013
  25. Parris, J., et.al, "Face and eye detection on hard datasets," Biometrics (IJCB), International Joint Conference on , vol., no., pp.1,10, 11-13Oct. 2011
  26. Goel, P, et.al., "Hybrid Approach of Haar Cascade Classifiers and Geometrical Properties of Facial Features Applied to Illumination Invariant Gender Classification System," Computing Sciences (ICCS), 2012 International Conference on , vol., no., pp.132,136, 14-15 Sept. 2012
  27. W. Ali, F. Georgsson, and T. Hellstrom, "Visual tree detection for autonomous navigation in forest environment," in Proc. IEEE Intell. Veh. Symp., Jun. 2008, pp. 560–565.T. Gritti, C. Shan, V. Jeanne, and R. Braspenning, "Local features based facial expression recognition with face registration errors," presented at the IEEE Int. Conf. Autom. Face Gesture Recog., Amsterdam, The Netherlands, Sep. 2008

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 975-978
Manuscript Number : CSEIT1833446
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Gude Ramarao , S. Somnath, D. V. Sashidhar Yadav, "Drowsy Driver Detection System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.975-978, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833446

Article Preview