Development of an IoT Camera System for Situation Recognition of Approaching Animals

This paper presents the development of an IoT camera system aimed at detecting wildlife animals in outdoor settings. To achieve higher detection accuracy, reduce power consumption, and lower costs, we propose a novel approach for surveillance systems. Before the stage of uploading image and video data into a cloud server, we perform spectral analysis on both infrared and audio data collected from the environment. Our approach significantly reduces transmission costs while minimizing power consumption. We conducted a series of experiments, including motion detection and battery endurance tests, to validate our approach. Our system showed stable operation over an extended period of time and promising detection accuracy. The results demonstrate the potential for our approach to revolutionize the field of wildlife monitoring and management.