Driver’s Drowsiness Detection Using Image Processing

  • Prajakta GilbileEmail author
  • Pradnya Bhore
  • Amruta Kadam
  • Kshama Balbudhe
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)


There are some causes of car accidents due to driver error which includes drunkenness, fatigue and drowsiness. Hence, the system is needed which will alert driver before he/she falls asleep and number of accidents can be reduced. In the proposed system, a camera continuously captures movement of the driver. To determine whether a driver is feeling drowsy or not the head position, eye closing duration and eye blink rate are used. Using this information, the drowsiness level is determined. As per the drowsiness level the alarm is generated. A night vision camera is used to handle different light conditions.


Drowsiness Area of interest Face detection Eye detection Face localization. eye localization 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Prajakta Gilbile
    • 1
    Email author
  • Pradnya Bhore
    • 1
  • Amruta Kadam
    • 1
  • Kshama Balbudhe
    • 1
  1. 1.Department of Information TechnologyPVG’s COETPuneIndia

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