UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404F76


Registration ID:
537317

Page Number

o547-o551

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Title

Railway Track Faults Detection Using Machine Learning & IOT

Abstract

Abstract-Railway Track Tracer System for creature detection is a system for detecting cracks on the railway tracks. This system will help to avoid many accidents that occur on rails. This system frequently monitors the railway tracks using a camera, so that the presence of cracks can be easily identified and then necessary actions can be taken to prevent accidents. Internet of Things is the most studied field and its applications are endless. Internet of Things (IOT) is implemented to give an up-to-date update on the railway management. In this mode IR sensor is used for checking the availability of the platform. This system is used update the platform availability to the upcoming train to avoid the prevent accidents. To detect fire and automatic engine detachment. To update the platform availability. There has been an upsurge in railway accidents, which are mostly caused by track quandaries. That might be a misalignment, an obstacle, a crack in one of the track's sides, or some other fault with the track. So, keeping track of all these difficulties is a time-consuming chore for a person. So, we engendered an IoT predicated Railway Inspection System that includes a sensor-equipped robot car that can identify quandaries on the track which have potential for causing railway accidents, and the sensors utilized to detect this were tilt, ultrasonic, infrared, water, and fire sensors and the movement is controlled using the Relay. In this project we have built the train track security and Monitoring application in which we monitor the rails i.e. tracks of trains with an automated robot which we pass through the track, will detect and inspect the track status like curve and damages etc. We are controlling this bot remotely. So we are getting all these data via an android app. This way are monitoring the track in real time with the track fault detection. So with this data we can prevent accidents and train sleeping due to those faulty tracks.

Key Words

Railway Track Tracer System , Accidents,Camera,Internet of Things (IoT),IR sensor, Platform availability, Fire detection, Automatic engine detachment, Railway management, Sensor-equipped robot car, Tilt sensor ,Ultrasonic sensor ,Infrared sensor,Track fault detection

Cite This Article

"Railway Track Faults Detection Using Machine Learning & IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.o547-o551, April-2024, Available :http://www.jetir.org/papers/JETIR2404F76.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Railway Track Faults Detection Using Machine Learning & IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppo547-o551, April-2024, Available at : http://www.jetir.org/papers/JETIR2404F76.pdf

Publication Details

Published Paper ID: JETIR2404F76
Registration ID: 537317
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: o547-o551
Country: Chitradurga, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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