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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55323

Train Accident Prevention Using Image Processing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55323

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55323

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NK

Nikhil Kulkarni1

SP

Sakshi Patil2

SB

Swati Bobati3

ZG

Zuveriya Gulladkop4

SR

Saman Reshamwale5

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Abstract

In this proposed project, we present a system that uses image processing technology along with Geo-fencing methods to avoid train accidents, particularly in the identified controlled and sensitive areas. The YOLOv8 algorithm model is used to detect obstacles on the railway track, while a Geo-fencing module identifies whenever the train is located near a predefined danger zone. An alert system is included to notify the operator through buzzer, LED, or on-screen messages. Additionally, the RailTel network is utilized for reliable communication. This embedded system approach aims to enhance safety and prevent accidents in railway environments

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Cite This Article

Nikhil Kulkarni1, Sakshi Patil2, Swati Bobati3, Zuveriya Gulladkop4, Saman Reshamwale5, "Train Accident Prevention Using Image Processing," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55323

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Publication Date

12/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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