Implementation of a Wildlife Intrusion Detection Framework Using Raspberry Pi

Abstract - Wildlife intrusion into human habitats, agricultural fields, or railway tracks can result in serious consequences including crop damage, human-wildlife conflict, and even accidents. To mitigate these challenges, an intelligent and cost-effective surveillance system is essential. This paper proposes a real-time wildlife intrusion detection system built using a Raspberry Pi microcontroller integrated with sensors and camera modules. The system utilizes motion detection and image processing techniques to detect the presence of animals and sends instant alerts via wireless communication. Experimental results demonstrate the effectiveness of the proposed setup in real-time intrusion scenarios with minimal power consumption and high accuracy. Key Words: Wildlife intrusion, Raspberry Pi, motion detection, IoT, surveillance, image processing.