A Battery-Powered Wild Animal Tracking Device Using a PTZ Camera and Deep Learning

In this paper, we propose a battery-powered wild animal tracking device using a Pan-Tilt-Zoom (PTZ) camera and deep learning. The proposed tracking device detects wild animals using YOLOv5 and tracks the detected wild animals using DeepSort. In addition, the proposed tracking device realizes tracking for a wide range by controlling a PTZ camera according to the movement direction of the detected wild animals. In the experiment, we developed a prototype for the proposed tracking device and conducted the field test of the developed prototype. We confirmed and discussed cases where the developed prototype could and could not track wild animals. The energy consumption of the developed prototype during tracking was 526.03J at the daytime and 730.99J at the nighttime.