Wild Animal Detection System for Residential Area

Human-animal conflicts are a rising concern in regions adjacent to forests, leading to loss of life and property. Traditional methods of wildlife monitoring and management often lack real-time applicability. This paper presents a novel solution combining Artificial Intelligence (AI), Internet of Things (IoT), and real-time detection technologies to address the issue. The proposed system uses the YOLO (You Only Look Once) algorithm for fast and accurate identification of wild animals entering residential areas. Integrated with an Arduino-based siren and manual verification by forest departments, the system minimizes false positives and ensures timely warnings to the public.