In the modern era of transportation using ordinary vision to detect cracks in track puts passengers in danger because these problems must go unnoticed for accidents to happen. To improve track evaluation our system employs infrared sensors combined with microcontrollers GSM, GPS and cloud computing for monitoring railway tracks in real time. IR sensors mounted along the tracks scan for damaged areas without human intervention including tiny unnoticeable fractures. The microcontroller analyzes the crack data and sends alerts using a GSM module to both local railway stations and maintenance teams. The system sends precise GPS data about the crack's location along with its severity to help repair teams respond faster. The cloud-based system stores track condition data securely so maintenance teams can use it to plan future maintenance and monitor track status over time. When repairs do not happen within the required 48-hour period the system activates a second alert system to higher authorities so they can take necessary action to avoid train accidents. The system helps prevent railway accidents and saves money by spotting track cracks fast while making repairs more secure.


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    Titel :

    Enhancing Rail Safety with Automated Crack Detection and Smart Guard System


    Beteiligte:
    P, Jeeva D (Autor:in) / R, Divya (Autor:in) / V, Keerthana (Autor:in) / S, Harini (Autor:in) / Kumar, M Jagadeesh (Autor:in)


    Erscheinungsdatum :

    16.04.2025


    Format / Umfang :

    375536 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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