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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver Drowsiness Detection based on Monitoring of Eye Blink Rate


    Contributors:


    Publication date :

    2022-01-20


    Size :

    1190006 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness

    Baccour, Mohamed Hedi / Driewer, Frauke / Kasneci, Enkelejda et al. | IEEE | 2019


    IN-VEHICLE DROWSINESS ANALYSIS USING BLINK RATE

    EL KALIOUBY RANA / JOSHI AJJEN DAS / KYAL SURVI et al. | European Patent Office | 2021

    Free access

    Unsupervised Blink Detection and Driver Drowsiness Metrics on Naturalistic Driving Data

    Dari, Simone / Epple, Nico / Protschky, Valentin | IEEE | 2020


    In-vehicle drowsiness analysis using blink rate

    EL KALIOUBY RANA / JOSHI AJJEN DAS / KYAL SURVI et al. | European Patent Office | 2022

    Free access

    Drowsiness mental state analysis using blink rate

    EL KALIOUBY RANA / KYAL SURVI / MAHMOUD ABDELRAHMAN N et al. | European Patent Office | 2020

    Free access