Railway Track Fault Detection and Localization using IoT

Abstract

The Indian Rail road operates among the biggest rail systems on the globe and offers the most significant form of public transportation in India, as well as the most popular and reasonably priced long-distance transportation system in the nation. Of all the affordable and environmentally friendly forms of transportation is the railway. In anation like India, the majority of people rely on trains for transportation. Worldwide, there are a lot of reported train accidents every year because of flaws in the railway system. Finding cracks in the track is the keyissue with a railway analysis. If these problems are not addressed quickly, they might result in a lot of derailments and a substantial ruin to people and to their belongings. The conventional procedure of physically inspecting the railway track that used a railway vehicle is expensive and error-prone. In this paper, we present a concept that intends tocreate a metal proximity sensor-based technique foridentifying railway cracks. This manages to avoid therailway collisions by sensing the crack on rail tracks. This device can quickly identify cracks without the need for human involvement. It can also notify the appropriate authorities via SMS messages and providetheir position using the GPS modules. This method ofcrack detection may be used day and then night andmight pick up cracks in the wrong places. This would prevent unnecessary rail track damage to a number of trains in India.