Detection of Bus Driver Fatigue

Authors

  • Prof. Madhuri Dharanguttikar  Computer Engineering Department, SKN Sinhgad Institute of Technology and Science, Lonavala, India
  • Ankita Ingole  Computer Engineering Department, SKN Sinhgad Institute of Technology and Science, Lonavala, India
  • Mahadev Yede  Computer Engineering Department, SKN Sinhgad Institute of Technology and Science, Lonavala, India
  • Sourabh Patole   Computer Engineering Department, SKN Sinhgad Institute of Technology and Science, Lonavala, India
  • Priya Sahu  Computer Engineering Department, SKN Sinhgad Institute of Technology and Science, Lonavala, India

Keywords:

Bus drivers, visual information, PERCLOS, softmax, fatigue, stress.

Abstract

The International statistics shows that a large number of road accidents are caused by driver fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely warning could help in preventing many accidents, and consequently save money and reduce personal suffering. The authors have made an attempt to design a system that uses video camera that points directly towards the driver’s face in order to detect fatigue. If the fatigue is detected a warning signal is issued to alert the driver. The authors have worked on the video files recorded by the camera. Video file is converted into frames. Once the eyes are located from each frame, by measuring the distances between the intensity changes in the eye area one can determine whether the eyes are open or closed. If the eyes are found closed for 5 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. The algorithm is proposed, implemented, tested, and found workingsatisfactorily.

References

  1. L.M. Bergasa, J. Nuevo, M.A. Sotalo, and M. Vazquez, "Real-time system for monitoring driver Vigilance," in Proc. Intelligent Vehicle Symp., Parma, Italy, pp.78-83,2004.
  2. J. Healey, and R. Picard, "Smart Car: detecting driver stress," in Proc.15th Int.Conf. Pattern Recognition, Barcelona, Spain, vol. 4, pp. 218-221,2000.
  3. H. Gu, Q. Ji, and Z.W. Zhu, "Active facial tracking for fatigue detection," in Proc.Workshop on Application of Computer Vision, Orlando, pp. 137-142,2002.
  4. Quong Wang, Jingyu Yang, Mingwu Ren, Yujie Zheng, "Driver Fatigue Detection : A Survey", in Proc Intelligent control and Automation, Dalion, China, pp 8587- 8591, 2006.
  5. Q.Ji and X.Yang, "Real time cues extraction for monitoring driver vigilance", In Proc. Of international workshop on computer vision systems, July 7-8, 2001, Vancouver,Canada.
  6. M.Yang, D.J.Kriegman and N.Ahuja, "Detecting faces in images: A survey", IEEE Trans. Pattern Analysis and Machine Intell.24, 2002, pp.34-58.
  7. S.Singh, D.S. Chauhan, V.Mayank and R.Singh, "A Robust Skin Color Based Face Detection Algorithm", Tamkang Journal of Science and Engineering, Vol 6, No.4, 2003, pp.227-234.
  8. N. Parmar, "Drowsy Driver Detection System." Engineering Design Project Thesis, Ryerson University, 2002.
  9. Gonzalez, R.C., R.E. Woods and S.V.Eddins, Digital image processing using MATLAB ,Pearson Education, Delhi,2004.
  10. J.D’Orazio, M.Leo, P.Spagnolo and C.Guaragnella, "A neural system for eye detection in a driver vigilance application", IEEE Intelligent Transportation System Conference, 2004, pp.320-325.
  11. K. Yammamoto and S.Higuchi, "Development of drowsiness warning System", J.Soc Automotive Eng.Japan, pp. 127-133.
  12. J. Fakuda, K.Adachi and M.Nishida "Development of driver’s drowsiness detection technology", Toyota Tech.Rev.vol .45, 1995, pp.34-40.
  13. M.Yang, D.J.Kriegman and N.Ahuja, "Detecting faces in images: A survey", IEEE Trans. Pattern Analysis and Machine Intell.24, 2002, pp.34-58.
  14. S.Singh, D.S. Chauhan, V.Mayank and R.Singh, "A Robust Skin Color Based Face Detection Algorithm", Tamkang Journal of Science and Engineering, Vol 6, No.4, 2003, pp.227-234.
  15. N. Parmar, "Drowsy Driver Detection System." Engineering Design Project Thesis, Ryerson University, 2002.
  16. Gonzalez, R.C., R.E. Woods and S.V.Eddins, Digital image processing using MATLAB,Pearson Education,Delhi,2004.
  17. J.D’Orazio, M.Leo, P.Spagnolo and C.Guaragnella, "A neural system for eye detection in a driver vigilance application", IEEE IntelligentTransportation System Conference, 2004, pp.320-325.
  18. K. Yammamoto and S.Higuchi, "Development of drowsiness warning System", J.Soc Automotive Eng.Japan, pp. 127-133.
  19. J. Fakuda, K.Adachi and M.Nishida "Development of driver’s drowsiness detection technology", Toyota Tech.Rev.vol .45, 1995, pp.34-40.
  20. Singh, Sarbjit and Papanikolopoulos, "Monitoring Driver Fatigue Using Facial Analysis Techniques", IEEE Intelligent Transport System Proceedings, 1999, pp. 314- 318.
  21. Bappaditya Mandal, Liyuan Li, Gang Sam Wang, and Jie Lin.Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State 2016.
  22. Zuojin Li *, Liukui Chen, Jun Peng and Ying Wu * . Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety 2017.
  23. Thobias Sando. Potential causes of driver fatigue: a study on transit bus 2 operators in florida
  24. Arun Sahayadhas *, Kenneth Sundaraj and Murugappan Murugappan .Detecting Driver Drowsiness Based on Sensors: A Review.
  25. Jennifer F. May *, Carryl L. Baldwin .Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies.

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Published

2019-04-06

Issue

Section

Research Articles

How to Cite

[1]
Prof. Madhuri Dharanguttikar, Ankita Ingole, Mahadev Yede, Sourabh Patole , Priya Sahu "Detection of Bus Driver Fatigue" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 7, pp.88-95, March-April-2019.