Paper Key : IRJ************932
Author: Dr Manisha G Shinde,Suhani R Sinha,Vedika S Mudaliar,Sushant G Vidhate
Date Published: 16 Nov 2024
Abstract
The increasing human-leopard conflict in agricultural areas necessitates innovative solutions to prevent leopard intrusions and protect farms. This project proposes an intelligent wildlife intrusion detection system utilizing Raspberry Pi, GSM technology, and audio warning systems to deter leopards from entering farms. The system consists of two primary modules: leopard detection and deterrent mechanisms. Camera traps capture images of approaching animals, which are then processed using Convolutional Neural Networks (CNNs) to detect leopard presence. Upon detection, the system triggers a GSM alert to farmers and simultaneously activates speakers emitting loud, leopard-deterrent sounds. The audio warning system, designed to mimic natural threats, effectively scares leopards away from the farm perimeter. Integration of CNNs enables accurate leopard detection, while the GSM module ensures timely alerts to farmers. This cost-effective, IoT-based solution contributes to:1. Enhanced farm security2. Reduced human-leopard conflict3. Decreased crop damage4. Increased farmer safetyBy leveraging AI-powered detection and audio deterrents, this system offers a promising solution for mitigating leopard intrusions, promoting coexistence between humans and wildlife, and ensuring sustainable agricultural practices.
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