Anomaly Detection System Using Digital Image Processing For The Indian Railways

Authors

  • Sharmista Shastry  B. Tech, Electronics and Communication, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Amartya Anshuman  B. Tech, Electronics and Communication, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Vedant Tibrewal  B. Tech, Electronics and Communication, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Yogesh Kumar Choukiker  Associate Professor, Vellore Institute of Technology, Vellore, Tamil Nadu, India

DOI:

https://doi.org/10.32628/IJSRST2183186

Keywords:

Railway Track, Fault Detection, Digital Image Processing.

Abstract

The Indian Railways are the lifeline of India's transport system. Being the fourth largest railway network in the world, it covers the length and breadth of the country. In 2018-19, 23.12 million people and 3.36 million metric tons of freight depended on the railways on a daily basis. They bind the economic life of the country and foster the development of industry and agriculture. However, poor maintenance of the railway tracks has caused several accidents over the years. Derailments due to the presence of faults in railway tracks cause heavy loss of life and railway property. Therefore, timely detection and analysis of these cracks is of utmost importance. This proposal aims at providing a cost effective solution to the problem of fault detection in railway tracks using digital image processing.

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International Journal of Scientific Research in Science and Technology

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Published

2021-08-30

Issue

Volume 8, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sharmista Shastry, Amartya Anshuman, Vedant Tibrewal, Yogesh Kumar Choukiker "Anomaly Detection System Using Digital Image Processing For The Indian Railways" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 4, pp.186-190, July-August-2021. Available at doi : https://doi.org/10.32628/IJSRST2183186