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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44501

Real-Time Wildlife Detection and Monitoring on Railway Tracks in Forest and Rural Areas Using Wireless Sensor Networks

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44501

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44501

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

NP

NIDIDANA PRAVEEN

LS

LUKALAPU SRIJHANSI

KV

KOTTAKOTA VAGDEVI

BV

BANTU VAMSIKRISHNA

BR

BONELA RAJESHWARI

PJ

PALEPU JHANSI

GSK

GANDI SHYAMSAI KUMAR

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Abstract

As human society continues to expand, wildlife faces increasing threats to its survival. Every living being plays a vital role in maintaining the balance of the ecosystem, yet human development often comes at the expense of animal safety. One major threat to wildlife is railway tracks passing through forested and rural areas, where animals are frequently injured or killed by trains. Species such as elephants, tigers, and lions have all fallen victim to such accidents on Indian railways. To address this issue, we propose a real-time monitoring and detection system using wireless sensor networks to help protect wildlife near railway tracks. The system is designed to track animal movements and immediately alert forest authorities using technologies such as RFID, PIR sensors, and load cells. An automatic drum alarm system can be triggered to deter animals from crossing the tracks, thereby reducing the risk of accidents and preserving wildlife.

KEYWORDS

Load Cell IR Sensor PIR Sensor RFID Transmitter-Receiver LCD Display PIC Microcontroller.

Cite This Article

NIDIDANA PRAVEEN, LUKALAPU SRIJHANSI, KOTTAKOTA VAGDEVI, BANTU VAMSIKRISHNA, BONELA RAJESHWARI, PALEPU JHANSI, GANDI SHYAMSAI KUMAR, "Real-Time Wildlife Detection and Monitoring on Railway Tracks in Forest and Rural Areas Using Wireless Sensor Networks," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44501

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Publication Date

4/14/2025

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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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