Driver’s Drowsiness Behaviour Detection by Using PSO/DPSO Algorithm for Urban Road System

  • Authors

    • J Sudhakar
    • S Srinivasan
    2018-08-15
    https://doi.org/10.14419/ijet.v7i3.27.18474
  • Driver drowsy detection, fatigue behaviour, eye state detection, face tracking, eigen vectors, particle swarm optimization (PSO), DPSO and FODPSO.

  • Abstract

    In recent years driver fatigue is one of the major causes for vehicle accidents in the world. A direct way of measuring driver fatigue is measuring the state of the driver drowsiness.  So it is very important to detect the drowsiness of the driver to save life and property. In our system, this aims to develop a prototype of drowsiness detection system. This system is a real time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives warning if required. Though there are several methods for measuring the drowsiness but this approach is completely non-intrusive which does not affect the driver in any way, hence giving the exact condition of the driver. For detection of drowsiness the each closure value of eye is considered. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. The entire system is implemented using PSO, DPSO and FODPSO algorithm and detection of drowsiness behaviour of driver different eye state level.

     

     

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  • How to Cite

    Sudhakar, J., & Srinivasan, S. (2018). Driver’s Drowsiness Behaviour Detection by Using PSO/DPSO Algorithm for Urban Road System. International Journal of Engineering & Technology, 7(3.27), 516-519. https://doi.org/10.14419/ijet.v7i3.27.18474

    Received date: 2018-08-28

    Accepted date: 2018-08-28

    Published date: 2018-08-15