Development of a Nonintrusive Driver Drowsiness Monitoring System

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 308)


Driver errors and carelessness contribute most of the road accidents occurring nowadays. The major driver errors are caused by drowsiness, drunken, and reckless behavior of the driver. This paper focuses on a driver drowsiness detection system in Intelligent Transportation System, which focuses on abnormal behavior exhibited by the driver. In the proposed system, a nonintrusive driver drowsiness monitoring system has been developed using computer vision techniques. Based on the simulation results, it was found that the system has been able to detect drowsiness in spite of driver wearing spectacles as well as the darkness level inside the vehicle. Moreover, the system is capable of detecting drowsiness within time duration of about 2 s. The detected abnormal behavior is corrected through alarms in real time.


Drowsiness Image processing Eye tracking Intelligent transportation system (ITS) 


  1. 1.
    Global Status Report on Road Safety: Country profiles: India (Report). World Health Organization. Retrieved 3 May 2012Google Scholar
  2. 2.
    Williamson, A., Chamberlain, T.: Review of on-road driver fatigue monitoring devices, NSW Injury Risk Management Research Centre, University of New South Wales, April 2005Google Scholar
  3. 3.
    Rogado, E., García, J.L., Barea, R., Bergasa, L.M., López, E.: Driver fatigue detection system. In: Proceedings of the 2008 IEEE International Conference on Robotics and Biometics, Bangkok, Thailand, February 21–26, 2009Google Scholar
  4. 4.
    Lee, B.G., Chung, W.Y.: Driver alertness monitoring using fusion of facial features and bio-signals. IEEE Sens. J. 12(7) (2012)Google Scholar
  5. 5.
    Singh, H., Bhatia, J.S., Kaur, J.: Eye tracking based driver fatigue monitoring and warning system. In: Proceedings of the IEEE in Power Electronics IICPE, New Delhi, India (2011)Google Scholar
  6. 6.
    Bajaj, P.R.Dr., Devi, M.S.: Driver fatigue detection based on eye tracking. In: Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, IEEE Computer Society, 2008Google Scholar
  7. 7.
    Bradski, G., Kaehler, A.: Learning OpenCV, O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472, September 2008Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Amrita Vishwa VidyapeethamCoimbatoreIndia

Personalised recommendations