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

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.