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.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9786208428396
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. N° de réf. du vendeur 9786208428396
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Taschenbuch. Etat : Neu. IOT Based Robotic Car for railway track detection system | Advanced IOT Based Robotic Car for Railway track detection system | Surajkumar Ghatage | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208428396 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 131668811
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