UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2305F14


Registration ID:
517758

Page Number

o98-o103

Share This Article


Jetir RMS

Title

Railway Track Crack Detector & Accident Prevention System

Abstract

Using a range of sensors and an Arduino Uno microcontroller, the objective of this project is to build a robot that is capable of detecting accidents on railway tracks. The system's objective is to raise railway safety by identifying track anomalies and responding rapidly to accidents. The system's main components include an Arduino Uno board, an accelerometer, an IR sensor, an ultrasonic sensor, a vibration sensor, a GPS module, and buzzers and vibration sensors. By employing the ultrasonic sensor to find obstacles or barriers on the railway rails, the robot can anticipate potential hazards and respond appropriately. When trains or other vehicles are identified using the IR sensor as they approach the railway crossing, the robot can begin taking preventative measures like stopping or alerting the surrounding workers. A vibration sensor is also integrated to monitor the rails for any unexpected vibrations or anomalies that can indicate the presence of loose components or track defects. The technology can instantly warn the maintenance team in such circumstances, ensuring the railway network continues to function without a hitch.

Key Words

Cite This Article

"Railway Track Crack Detector & Accident Prevention System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.o98-o103, May-2023, Available :http://www.jetir.org/papers/JETIR2305F14.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 Crack Detector & Accident Prevention System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppo98-o103, May-2023, Available at : http://www.jetir.org/papers/JETIR2305F14.pdf

Publication Details

Published Paper ID: JETIR2305F14
Registration ID: 517758
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: o98-o103
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

00084

Print This Page

Current Call For Paper

Jetir RMS