| In order to better understand the coastal underwater organisms and ecosystems of Qinshan Island in Haizhou Bay Marine Park, a coastal underwater target monitoring platform based on YOLOv5 (You Only Look Once version 5) was designed in this paper, aiming at the low monitoring efficiency of existing underwater monitoring platforms. Based on Browser/Server (B/S) architecture, the monitoring platform has developed a video signal receiving and storage module, weather query map module, target monitoring module and data display module. Through underwater fixed point monitoring, self-built offshore Marine biological data set of Qinshan Island, trained the target detection model, and embedded the trained YOLOv5 target detection algorithm and DeepSORT (Deep Simple Online and Realtime Tracking) algorithm in the target monitoring module. Make the monitoring platform more intelligent, accurate and efficient. The results show that the World Wide Web (WEB) platform runs stably and has strong practicability, which plays a positive role in grasping the nearshore ecological situation and protecting the ecological environment. |
