Design and Practice of Ship Real-Time Collision Avoidance System Based on Artificial Intelligence

This paper focuses on ship navigation safety and conducts research on the design and practice of an artificial intelligence-based real-time ship collision avoidance system. By integrating deep learning with multi-sensor data, an intelligent collision avoidance decision-making model is constructed to realize real-time analysis of ship movement status and prediction of collision risks. Verified by simulation tests, the system significantly improves the efficiency and accuracy of collision avoidance decisions, providing an innovative solution for ensuring ship navigation safety.