The Automatic Railway Track Crack Detection System using loT presents an innovative approach to enhance rail safety and maintenance efficiency. Leveraging Internet of Things (loT) technology, this system integrates sensors along the railway track to continuously monitor its condition. Specialized sensors detect cracks and anomalies, sending real-time data to a central control system. The system employs advanced signal processing algorithms to analyze the sensor data identifying potential cracks with precision. Utilizing wireless communication, the information is transmitted to a central server for immediate action. This enables prompt response to track irregularities, preventing potential accidents and minimizing downtime. Moreover, the system features a user-friendly interface, allowing railway authorities to access detailed reports and analytics. The integration of GPS technology allows for precise location tracking of the detected crack, facilitating quick response and targeted maintenance, The collected data aids in predictive maintenance, enabling proactive measures to be taken before critical issues arise. Overall, this Automatic Railway Track Crack Detection System represents a crucial advancement in railway infrastructure management, ensuring safety, reducing maintenance costs, and enhancing the overall efficiency of railway operations.


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    Titel :

    Automated Railway Track Crack Detection System Utilizing Internet of Things (IoT) Technology for Enhanced Railway Safety




    Erscheinungsdatum :

    20.12.2024


    Format / Umfang :

    386588 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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