Systems to identify tiredness in drivers are becoming more widely recognized as essential safety innovations intended to reduce accidents brought on by fatigued drivers. This paper delivers an inclusive analysis of the technology and approaches used in these systems, which primarily focus on keeping an eye on the driver alertness using a range of techniques, such as behavioural analysis, physiological measures, and computer vision. These systems can effectively detect indicators of tiredness, like head position and eye closure length, by utilizing real-time data from cameras and sensors. In addition to warning drivers when weariness is detected, the installation of such systems enhances overall vehicle safety by integrating with cutting-edge driver aid systems. Considering the startling data regarding sleepy driving, which contributes significantly to traffic accidents.


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    Titel :

    Driver Drowsiness Detection System


    Beteiligte:
    Khan, Rimsha Mehnaaz (Autor:in) / Kumar, B P Pradeep (Autor:in) / Kabir, Sidra (Autor:in) / Raj, Yash (Autor:in)


    Erscheinungsdatum :

    21.03.2025


    Format / Umfang :

    315558 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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