SYSTEM FOR RECOGNITION OF SHIP ANCHORING USING A TIE DOWN IMAGE FOR A SHIP IN A HARBOR AND METHOD THEREOF

摘要

The present invention relates to a system and method for recognizing a ship arrangement using harbor anchorage image information. The present system includes: an anchor image input unit for inputting photographed images of ships and anchors photographed by a photographing device and pre-collected ship and anchor image data; a neural network machine learning module for generating an artificial neural network model by learning the empty or main anchored state of the ship and the anchored image data input from the anchored image input unit; a deep learning image recognition module for recognizing a state in which a ship identification number and at least one anchoring line for anchoring a ship to each anchorage are tied or untied by applying a photographed image inputted in real time from the photographing device to the artificial neural network model; Based on the determination result of the deep learning image recognition module, it determines the start/finish of anchoring of the vessel to recognize the berthing / berthing time of the vessel, and transmits the recognized berthing / berthing time information for each vessel to a remote vessel arrangement billing system. It is characterized in that it includes an eyepiece / eyepiece management module. As a result, it is possible to detect whether a plurality of anchorages required for arranging a single vessel are empty or in a state in which the anchorage is tied, so the inaccuracy of the method of judging the state of arrangement by relying on the judgment of an existing person is reduced. , by replacing it with an image recognition method, it is possible to accurately recognize the vessel's arrangement based on more accurate and objective data.