The most affordable, practical, and long-distance as well as suburban, passenger transit in India is provided by railways. Track crossings and hidden cracks in railroad tracks are the primary causes of accidents that occur on trains. In order to detect objects and detect cracks in railway tracks, new technology that is reliable, effective, and steady is required. In this project, CNN models are used to detect railway track cracks. It is a computerised system technique that combines model accuracy.


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    Titel :

    Broken Rail Track Detection System using Transfer Learning




    Erscheinungsdatum :

    04.05.2023


    Format / Umfang :

    280837 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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