Detecting the Underwater Distance and Swimming Direction of Tilapia using YOLO

Abstract

This paper uses an underwater unmanned vehicle to detect the distance and swimming direction of tilapia. As the underwater vehicle is equipped with a single camera system that lacks depth information, the YOLO3 architecture of deep learning is used to determine the relative distance of fish and further analyze the swimming direction of the fish group, which is of great help in analyzing fish group.