A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Classification of Rail Track Defects Based on Computer Vision Using DNN
International Journal for Research in Applied Science and Engineering Technology
Abstract: Economic status of the country depends on the Trading which needs transportation. Railways is the most preferred road transportation as most of the profit oriented and movement of people in India is done by elevated railway. Hence it is required to monitor the track health condition frequently using an automated crack detection system. The proposed framework focuses on implementation of python to detect track defects based on Computer vision using image processing techniques. Thedoi:10.22214/ijraset.2022.45968 fatcat:tyglhtyrpbeelji76bvvdhlj4a