ABSTRACT
This research explores the integration of Internet of Things (IoT) technology with a multisensory framework for enhanced wildlife conservation efforts. The study addresses pressing challenges such as animal hunting, deforestation, habitat fragmentation, and road accidents. Existing technologies often lack comprehensive, real-time monitoring capabilities for timely threat detection and response. The proposed system leverages a strategic combination of sound detection, accelerometers, Passive Infrared (PIR) sensors, and Radio-Frequency Identification (RFID) sensors to address these challenges. Specifically, the framework aims to detect animal hunting (via acoustic analysis), tree falling (using vibration data), animal-vehicle collisions (through PIR sensors), and track animal movement patterns (using RFID tagging). This research offers a scalable and efficient solution for real-time wildlife monitoring and threat detection, contributing to advancements in wildlife conservation practices across various ecosystems.
