• DocumentCode
    3112687
  • Title

    A Review Paper on Portable Driver Monitoring System for Real Time Fatigue

  • Author

    Dahiphale, Varsha E. ; Rao, Sathyanarayana Ramachandra

  • Author_Institution
    Dept. of E&TC Eng., DYPCOE, Pune, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    558
  • Lastpage
    560
  • Abstract
    This paper describes method for detecting the problem of driver vigilance. Drivers with a low vigilance level suffer from a marked decline in their abilities of recognition the object in front of them, and vehicle control, and therefore pose serious danger to their own life and the lives of other people. With the increasing traffic conditions, this problem will further deteriorate. For this reason, developing systems which can actively monitors a driver´s level of vigilance and alerting the driver of any insecure driving conditions is essential to prevent accidents. So we planned to implements a real-time computer vision system for monitoring driver vigilance. The main components of the system consist of a video camera, a specially designed hardware system based on Raspberry Pi for real-time image processing and controlling the alarm system.
  • Keywords
    accident prevention; alarm systems; computer vision; driver information systems; face recognition; object detection; road accidents; Raspberry Pi; accident prevention; alarm system control; driver vigilance level monitoring; driver vigilance problem detection; eye detection; face detection; object recognition ability; portable driver monitoring system; real time fatigue; real-time computer vision system; real-time image processing; traffic condition; vehicle control; video camera; Face; Face detection; Fatigue; Monitoring; Real-time systems; Vehicles; Visualization; Raspberry pi; Vigilance; image processing; recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/ICCUBEA.2015.115
  • Filename
    7155909