IOT Railway Track Crack Detection Robot Using GSM-GPS

Authors

  • Shivam.Mali  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Durgesh.Vedpathak  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Swapnil.Ekale  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Akash.Bathe  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Ashwini.Pandagle  Assistant Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Internet of Things, Surveillance, GPS, GSM

Abstract

The Indian railway department is the seventh largest railway system in the world. Although work can be done in order to provide a better speed to done to get better accuracy about the location of the place where the fault had occurred. Till date there are cases of rail derailment due to track fracture. The proposed system is a solution to automatically detect a crack in the railway track . Internet of Things is the most usable and its applications are limitless. Internet of Things (IOT) is implemented to give an up to date update on the railway system. In this model ultrasonic sensor is used for surveillance and GPS receiver is used to track the location of the crack. A GSM module is used to send messages to notify the authorities about the crack. A camera is fixed to provide the live video data to analyse the rupture from the base stations.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

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How to Cite

[1]
Shivam.Mali, Durgesh.Vedpathak, Swapnil.Ekale, Akash.Bathe, Prof. Ashwini.Pandagle, " IOT Railway Track Crack Detection Robot Using GSM-GPS, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.32-35, September-October-2019.