International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

Impact Factor: 6.674

VISUAL DEFECT DETECTION IN RAILWAY TRACKS USING IOT BASED ROBOT

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VISUAL DEFECT DETECTION IN RAILWAY TRACKS USING IOT BASED ROBOT

1. Asst.prof Mr.CH.VIJAYA SEKHAR BABU

2.V.BHUVANESWARI

3.B.GOPI

4.P.SASI KIRAN

Department of ECE, Krishna University College of Engg & Tech, Machilipatnam, Andhra Pradesh, India

 

ABSTRACT

Railways provide the cheapest and most convenient mode of passenger transport both for long distance and suburban traffic. But Recent years Accidents are the major concern in terms of railway track crossing and unidentified crack in rail tracks in Indian railway. Therefore, there is need to think about new technology which is robust, efficient and stable for crack detection in railway track. This project discusses a Railway track crack detection using Arduino uno and IR sensors is a dynamic approach which combines the use of GPS tracking system and WIFI module to send alert messages and the geographical coordinate of location. This project prevents train derailment by detecting a crack in railway track using internet of things technology. In addition to these we are adding the ESP32 camera for capturing the cracked part and it will send to the authorized person through the telegram application.

 

Keywords: Arduino, IR sensors, ESP-32 Camera, L298N Motor Driver, Telegram Bot

 


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