Wild Animal Detection System for Residential Area

Wild Animal Detection System for Residential Area

Kalyani Jayram Kshirsagar1, Shaikh Firoja Harun2, Lamkhade Prajakta Vijay3 , Prof.P.S.Kohakade4

123 Department of Computer engineering, SCSMCOE Nepti, Ahmednagar

4 Prof. Department of Computer engineering, SCSMCOE Nepti, Ahmednagar

Abstract - 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.

Key Words - YOLO algorithm, animal detection, IoT, real-time detection, wild animal alerts, human-animal conflict.