Railway Accident Control by Digital Image Processing

Shanthveeresh N S , Fiza Anjum , Niveditha B R , Shifana Anjum S K , Pallavi K S

Raspberry Pi, IR Sensor, USB Web Camera and Servo motor.

The government's biggest issue is accidents on the railroads, which can occur for a variety of causes. Railway networks passing through sensitive forests and other locations because of unforeseen animal arrivals, sand falls, large stones, or track faults that could result in fatalities and some degree of economic damage are a few of the causes. To stop all these issues Utilized is radar/photoelectric technology. The system is created using the available technology. The radar source on the locomotive closes the waves that cover an area of a few kilometers surrounding the train and detects any issues with the rail network. Based on this detection, the loco pilot reduces the locomotive speed. We are using digital signal processing technology to solve these issues. We use digital image processing technology for real-time implementation; when an obstruction is detected, the pilot of the locomotive is notified, and in electric trains, breaks are immediately applied. The way the digital image processing technology operates is that we first work with track data by keeping a database with several photographs taken depending on various scenarios of an obstacle's presence on a railway track. In front of the locomotive is this DIP technology product for controlling railway accidents.

Published Paper   E-Certificate

"Railway Accident Control by Digital Image Processing ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.190 - 199, May-2023, Available :https://ijsdr.org/papers/IJSDR2305029.pdf

Volume 8 Issue 5, May-2023

Pages : 190 - 199

Paper Reg. ID: IJSDR_206013

Published Paper Id: IJSDR2305029

Downloads: 000347156

Research Area: Electrical Engineering 

Country: Shivamogga, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2305029

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2305029

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition