REAL-TIME HUNTER DETECTION AND AI-POWERED WILDLIFE SAFETY SYSTEM

Gokul E; Karunanidhi N S; Gokul K; Dhinesh Kumar K

doi:10.65379/tpsn2013/ijaemsv01i03p5

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REAL-TIME HUNTER DETECTION AND AI-POWERED WILDLIFE SAFETY SYSTEM

Author(s): Gokul E, Karunanidhi N S, Gokul K, Dhinesh Kumar K

Volume RegistryVolume 1

Issue PeriodIssue 03

Published Date16 Dec 2025

DOI Identifier🔗 10.65379/tpsn2013/ijaemsv01i03p5

Abstract

Wildlife conservation faces increasing threats from unauthorized human intrusion and poaching. The real-time hunter detection and AI-powered safety system, and the advanced computer vision with geospatial alerting to safeguard the protection of the ecosystem. The hybrid deep learning of YOLOv8 for rapid object detection and EfficientNet-B3 for refined classification. The system achieves an impressive 94.9% accuracy in identifying hunters. The wildlife across diverse terrains and lighting conditions of real-time geofencing response time and enforcement capabilities. The proposed strong potential for scalable deployment in the conservation zone. The offering of a robust tool for ethical governance of biodiversity protection and proactive threat mitigation.

Keywords

YOLOv8 efficientNet-B3 object detection image classification Real-time surveillance AI vision system Deep Learning hunter detection AI cameras.

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Gokul E, Karunanidhi N S, Gokul K, and Dhinesh Kumar K, "REAL-TIME HUNTER DETECTION AND AI-POWERED WILDLIFE SAFETY SYSTEM," Int. J. Adv. Eng. Manag. Syst., vol. 1, no. 3, pp. 214-224, 2025. doi: 10.65379/tpsn2013/ijaemsv01i03p5.

REAL-TIME HUNTER DETECTION AND AI-POWERED WILDLIFE SAFETY SYSTEM

Abstract

Keywords

References (10)

Format Citation Record