IOT Based Robotic Car for railway track detection system

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Geliefert zwischen Di., 27.01.2026 und Mi., 28.01.2026

Details

In the developing country people are facing many accidents. It would be undesirable for any nation to losing their life for unwanted cause. Railways are one of the important transports in India. There is a need for manual checking to detect the crack on railway track and always railway personnel take care of this issue, even though the inspection is made regularly. Sometimes the crack may un-notice. Because of this the train accident or derailment may occur. In order to avoid this situation and automate the railway crack detection has been proposed. Here ultrasonic sensor is used to detect the crack in the railway track by measuring distance from track to sensor, if the distance is greater than the assigned value the microcontroller identifies there is a crack. Here we are Using Arduino microcontroller. After crack detection or object detection the testing robotic vehicle stops and the longitudinal and latitudinal positions are sent via SMS to GSM and GPS to the control station.The IoT-based robotic car for railway track crack detection system presents a promising solution to enhance railway track inspection processes, ensuring safer and more reliable transportation infrastructure.

Autorentext
Prof. Surajkumar Sadashiv Ghatage working as a HOD in Electronics and Telecommunicatio Department in AITRC. Vita. He is currently pursuing a Ph.D. at Sanjay Ghodawat University, Kolhapur. He has 12 year of experience in the field of teaching. He published almost 15 papers in International and National Journal and also two patent published.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208428396
    • Sprache Englisch
    • Genre Economy
    • Größe H220mm x B150mm
    • Jahr 2025
    • EAN 9786208428396
    • Format Kartonierter Einband
    • ISBN 978-620-8-42839-6
    • Titel IOT Based Robotic Car for railway track detection system
    • Autor Surajkumar Ghatage
    • Untertitel Advanced IOT Based Robotic Car for Railway track detection system.DE
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 60

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