UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 10 | October 2026

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Published in:

Volume 13 Issue 10
October-2026
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2610286


Registration ID:
587255

Page Number

c860-c865

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Title

Wildlife Monitoring System Using GSM System

Abstract

The increasing incidence of wild animal intrusion in agricultural areas poses significant risks to both human safety and crop productivity. This project, AI-IoT Smart Animal Surveillance for Human Safety, proposes a real-time monitoring system that integrates Artificial Intelligence (AI) with Internet of Things (IoT) to detect, alert, and assess the presence of wild animals near farms. The system utilises a Raspberry Pi equipped with a camera module and employs the YOLOv8 (You Only Look Once) object detection algorithm to accurately identify animals from live video feeds.Upon detection, the system captures the image, sends an email alert with timestamp and location to the farmer, and activates a buzzer to warn nearby individuals. Additionally, IoT-based health monitoring sensors such as temperature, heartbeat, and gas sensors are used to evaluate the physical condition and surrounding environment of the detected animals, aiding early detection of diseases or environmental threats. The system operates in real-time and ensures quick response to critical situations, thereby minimizing crop damage and reducing the risk of human-animal conflicts. It is designed to be cost-effective, energy-efficient, and easy to deploy in rural and remote areas. Furthermore, the system can be enhanced with features such as mobile application integration, cloud-based data storage, and GPS tracking for better monitoring and control. Overall, the proposed system provides a smart, automated, and reliable solution for wildlife surveillance and safety management.

Key Words

Internet of Things (IoT), Artificial Intelligence (AI), Smart Animal Surveillance for Human Safety, YOLOv8, Health Monitoring, Animal Detection, Notification, Buzzer, Raspberry Pi.

Cite This Article

"Wildlife Monitoring System Using GSM System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 10, page no.c860-c865, October-2026, Available :http://www.jetir.org/papers/JETIR2610286.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

"Wildlife Monitoring System Using GSM System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 10, page no. ppc860-c865, October-2026, Available at : http://www.jetir.org/papers/JETIR2610286.pdf

Publication Details

Published Paper ID: JETIR2610286
Registration ID: 587255
Published In: Volume 13 | Issue 10 | Year October-2026
DOI (Digital Object Identifier):
Page No: c860-c865
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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