Beast Sentinel: Smart IoT-Based Wildlife Tracking and Intrusion System

Human-wildlife conflict has emerged as a serious concern in regions adjacent to wildlife sanctuaries, particularly where predators such as tigers and leopards stray into human settlements. These encounters often result in loss of life, property damage, and retaliatory harm to wildlife. Traditional methods of monitoring, such as manual patrolling and camera traps, are often inefficient and reactive, lacking the capability for real-time alerts. To address this critical issue, our project proposes a smart IoT-based wildlife tracking and intrusion alert system. The system utilizes GPS and motion sensor-enabled collars fitted on wild animals to track their movements continuously. When a predator enters a predefined danger zone, such as within 2 kilometres of a village, the system automatically sends SMS alerts to villagers and forest authorities. The solution ensures early detection, real-time tracking, and timely intervention, significantly reducing the risk of human-wildlife conflict. The design also includes features like solar-powered operation for remote areas and cloud-based data logging for further analysis. This project aims to promote safer human-wildlife coexistence through the power of modern technology.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-19
DOI
https://doi.org/10.22214/ijraset.2025.73691
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
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article

Beast Sentinel: Smart IoT-Based Wildlife Tracking and Intrusion System

Rajas Tarapure
International Journal for Research in Applied Science and Engineering Technology
Food Supply Chain Traceability
article

Beast Sentinel: Smart IoT-Based Wildlife Tracking and Intrusion System

Rajas Tarapure
article en

Abstract

Human-wildlife conflict has emerged as a serious concern in regions adjacent to wildlife sanctuaries, particularly where predators such as tigers and leopards stray into human settlements. These encounters often result in loss of life, property damage, and retaliatory harm to wildlife. Traditional methods of monitoring, such as manual patrolling and camera traps, are often inefficient and reactive, lacking the capability for real-time alerts. To address this critical issue, our project proposes a smart IoT-based wildlife tracking and intrusion alert system. The system utilizes GPS and motion sensor-enabled collars fitted on wild animals to track their movements continuously. When a predator enters a predefined danger zone, such as within 2 kilometres of a village, the system automatically sends SMS alerts to villagers and forest authorities. The solution ensures early detection, real-time tracking, and timely intervention, significantly reducing the risk of human-wildlife conflict. The design also includes features like solar-powered operation for remote areas and cloud-based data logging for further analysis. This project aims to promote safer human-wildlife coexistence through the power of modern technology.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 75%
Food Supply Chain Traceability
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Beast Sentinel: Smart IoT-Based Wildlife Tracking and Intrusion System — Rajas Tarapure · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS