IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v4y2019i8idhcseit19489.html

IOT Railway Track Crack Detection Robot Using GSM-GPS

Author

Listed:
  • Shivam.Mali
  • Durgesh.Vedpathak
  • Swapnil.Ekale
  • Akash.Bathe
  • Ashwini.Pandagle

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.

Suggested Citation

  • Shivam.Mali & Durgesh.Vedpathak & Swapnil.Ekale & Akash.Bathe & Ashwini.Pandagle, 2019. "IOT Railway Track Crack Detection Robot Using GSM-GPS," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(8), pages 32-35, October.
  • Handle: RePEc:jbh:ijsrcs:v4:y2019:i8:id:hcseit19489
    Note: Article URL: https://ijsrcseit.com/CSEIT19489
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT19489
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT19489.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v4:y2019:i8:id:hcseit19489. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.