A ship target dynamic recognition method based on image recognition and VR technology

Abstract

Abstract Effective identification of ship identity is an important means of water traffic management. Aiming at the technical limitations of AIS, radar and other means, a ship automatic recognition method based on machine learning is proposed, and a water traffic visualization system integrating multi-source recognition technology is realized based on VR technology. The test shows that the method and system can solve the technical problems of ship identification caused by data easy to be tampered with, difficult to distinguish massive targets and large obstacles, and provide an effective method for navigation support in key waters.