The advancement of embedded system for detecting and preventing drowsiness in a vehicle is a major challenge for road traffic accident systems. To prevent drowsiness while driving, it is necessary to have an alert system that can detect a decline in driver concentration and send a signal to the driver. Studies have shown that traffic accidents usually occur when the driver is distracted while driving. In this paper, we have reviewed a number of detection systems to monitor the concentration of a car driver and propose a portable Driver Alertness Detection System (DADS) to determine the level of concentration of the driver based on pixelated coloration detection technique using facial recognition. A portable camera will be placed at the front visor to capture facial expression and the eye activities. We evaluate DADS using 26 participants and have achieved 100% detection rate with good lighting condition and a low detection rate at night.


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    Title :

    Microcontroller based driver alertness detection systems to detect drowsiness


    Contributors:

    Conference:

    Ninth International Conference on Graphic and Image Processing (ICGIP 2017) ; 2017 ; Qingdao,China


    Published in:

    Proc. SPIE ; 10615


    Publication date :

    2018-04-10





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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