The National Highway Traffic Safety Administration (NHTSA) reports state that over 100,000 accidents and more than 1,000 deaths per year are related to drivers’ drowsiness. The situation becomes prone to an accident when either the driver is sleepy or accelerating, or is not able to see the course ahead due to weather conditions. Many types of research have been done in this area and several are ongoing to prevent this from happening. This paper will be focused on that plus gleaning acceptable accurate results. For a brief outlook: the images captured by the camera will go through mathematical calculation and machine learning to check if the driver is drowsy or not. It can be used to construct a real-time drowsiness detection system. The model made should be lightweight, should not require more space, and should provide good accuracy in results.


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    Titel :

    Drowsiness Detection System


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Choudrie, Jyoti (Herausgeber:in) / Mahalle, Parikshit N. (Herausgeber:in) / Perumal, Thinagaran (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Bhagat, Dhiren P. (Autor:in) / Prajapati, Bhavyesh (Autor:in) / Pawar, Krutarth (Autor:in) / Parekh, Darshan (Autor:in) / Gandhi, Param (Autor:in)

    Kongress:

    International Conference on Information and Communication Technology for Intelligent Systems ; 2023 ; Ahmedabad, India April 27, 2023 - April 28, 2023



    Erscheinungsdatum :

    2023-09-09


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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