A computer vision-based technology has been implemented for the making of Driver Drowsiness Systems. The small camera called webcam is used as the framework that mainly concentrates towards the activity of the driver and continuously monitors the driver by checking whether the driver is drowsy or not. A notice sign as an alarm is issued to the driver in such circumstances when certain precautions is perceived. The data framework oversees using the information which is directly picked up for the video to find the landmarks which the ratio where the eyes of a certain limited individuals may exist. If driver has his or her eyes closed for a period of time the proposed system declares that the driver is falling asleep and a warning has been given to warn the driver. This project also works when the driver is yawning and works in lightning conditions too.


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    Titel :

    Driver Drowsiness Detection based on Monitoring of Eye Blink Rate


    Beteiligte:
    Baby Shamini, P (Autor:in) / Vinodhini, M. (Autor:in) / Keerthana, B (Autor:in) / Lakshna, S (Autor:in) / Meenatchi, K. R (Autor:in)


    Erscheinungsdatum :

    20.01.2022


    Format / Umfang :

    1190006 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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