Open AccessAnomaly Detection System Using Digital Image Processing For The Indian Railways
Author(s) -
Sharmista Shastry,
Amartya Anshuman,
Vedant Tibrewal,
Yogesh Kumar Choukiker
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst2183186
Subject(s) - fault (geology) , railway system , metric (unit) , transport engineering , business , computer science , engineering , forensic engineering , operations management , seismology , geology
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.