A Real-Time Automated Port Entry and Exit Management Framework for Fishing Vessels Using YOLOv8

This study develops an automated management framework for the real-time recognition of boat entries and exits at the port.It utilizes the Real-Time Streaming Protocol (RTSP) for the acquisition of real-time image streams from the fishing port.The framework leverages computer vision techniques to analyze each frame and employs You Only Look Once version 8 (YOLOv8) for boat detection.Additionally, the BotSort algorithm (Bounding Box Object Sort and Tracking) is employed to track the detected boats.The framework also features an electronic fence designed in this research to determine whether boats are entering or departing from the port.It provides real-time cumulative counts, records relevant information in both text and images, and effectively automates the management of fishing boat entries and exits, thereby enhancing overall management efficiency.