UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304A92


Registration ID:
513935

Page Number

k642-k651

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Title

IOT BASED RAILWAY TRACK FAULT DETECTION BY USING PIC MICROCONTROLLER

Abstract

Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, and expensive, but the accuracy of defect detection is also subjected to human expertise and efficiency at the time of inspection. Computing and Robotics offer automated IOT based solutions where robots could be deployed on rail-tracks and hard to reach areas, and controlled from control rooms to provide faster inspection. In this project, robot will go on railway track and ultrasonic sensor is used for detecting the defect in track. If any defect is detected it will send the location to mobile using GSM. It will track the location using GPS. The system provides ultrasonic sensor for defect detection, storage of information that consist of location of the defected railway tracks, and robot localization within a range of 3-6 inches. The proposed system utilizes state of the art Machine Learning system and obtained from the tracks in order to classify them as normal or suspicious. Such locations are then marked and more careful inspection can be performed by a dedicated operator with very few locations to inspect (as opposed to the full track).

Key Words

Railway Track, GSM Module, GPS Module, Ultrasonic Sensor,PIC microcontroller,Buzzer

Cite This Article

"IOT BASED RAILWAY TRACK FAULT DETECTION BY USING PIC MICROCONTROLLER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k642-k651, April-2023, Available :http://www.jetir.org/papers/JETIR2304A92.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

"IOT BASED RAILWAY TRACK FAULT DETECTION BY USING PIC MICROCONTROLLER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk642-k651, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A92.pdf

Publication Details

Published Paper ID: JETIR2304A92
Registration ID: 513935
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: k642-k651
Country: Kadapa, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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