Vibration Detections On Railway Tracks And Testing Of Train Wheels Condition Using Iot

Abstract

Today’s most of the railroad investigation is manually conducted by tracks examiners. Practically, it is not easy to investigate the thousands of railway track and wheels by trained human examiners. Hence it takes too much time to inspect the defected railway tracks and wheels, then inform to the railway authority people. In order to avoid delay and improve the accuracy, the proposed structure that will automatically investigate. The system is described, detailing the process of capturing consistent high resolution and quality images of the wheel tread and flange suitable for processing to detect defects. Some with defects created artificially on the test wheel to test the image capturing capability of the system and its ability to automatically detect the defects. Here Vibration sensor is used for detect the vibration of tracks. The system was also shown to be successful at automatically analyzing the captured images to detect wheel surface defects. For easy surveying and with less delay the information can be send to the authority by using IoT. These detection and controlling methods can be used to prevent the railway accidents and to safeguard the people.