This paper proposes the design of an accident detection system for motorcycles that notifies the emergency contact of the injured motorcycle driver about their precise location so that necessary medical help can be provided timely. The proposed system is based on a tilt sensor that calculates the inclination of the motorcycle and then transmits notification to the concerned people through SMS and GPRS via an online server using a GSM module. The main contribution of this paper is that the developed system has extensively been tested in real time scenario and data has been collected from ten different bikes to determine an optimum tilt angle. Moreover, crash tests have also been performed. The system has a detection rate of 97.33%.


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    Titel :

    IoT-based Accident Detection and Emergency Alert System for Motorbikes


    Beteiligte:
    Ur Rehman, Saad (Autor:in) / Khan, Shaheryar Ahmad (Autor:in) / Arif, Arshia (Autor:in) / Khan, Umar S. (Autor:in)


    Erscheinungsdatum :

    28.04.2021


    Format / Umfang :

    3822576 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    CASE FOR MOTORBIKES

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    Freier Zugriff

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    Accident Emergency Alert System using Deep Learning

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