The goal of this study is to demonstrate a non- invasive method for assessing driver tiredness and yawning utilising behavioural and vehicle-based methodologies. Today's traffic accidents occur as the result of driver negligence. The drivers gross recklessness and intoxicated behaviour were on display. On this problem many research works was going on to overcome such accidents, which depends on abnormal behaviour of drivers, drunken driver detections, and many more. The driver tiredness and yawning detection system is one of the research work on the same domain which employs a Raspberry Pi microcontroller to focus on the driver's unusual behaviour. The suggested method uses computer vision techniques to provide a non- intrusive driver drowsiness and yawning monitoring system. The system can detect driver fatigue in two to three seconds, irrespective of whether driver is wearing spectacles or the inside of the vehicle is dark.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Design of Drowsiness and Yawning Detection System


    Beteiligte:
    Dehankar, Vishwas (Autor:in) / Jumle, Pranjali (Autor:in) / Tadse, Surekha (Autor:in)


    Erscheinungsdatum :

    02.03.2023


    Format / Umfang :

    1515621 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Drowsiness Detection System

    CRONJE JACO / HOUGH JOHANN EPHRAIM | Europäisches Patentamt | 2021

    Freier Zugriff

    Automatic fatigue detection of drivers through yawning analysis

    Azim, Tayyaba / Jaffar, M. Arfan / Ramzan, M. et al. | Tema Archiv | 2009


    DROWSINESS DETECTION DEVICE AND DROWSINESS DETECTION METHOD

    AGENO FUTOSHI / HIGUCHI DAIKI | Europäisches Patentamt | 2022

    Freier Zugriff

    A DROWSINESS DETECTION SYSTEM

    CRONJE JACO / HOUGH JOHANN EPHRAIM | Europäisches Patentamt | 2020

    Freier Zugriff