Intelligent Ship Lifesaving System Based on Motion Target Detection and Precise Positioning Technology
Shengxue Liu, Haixin Fan, Xiaofeng LiWith the rapid development of the global shipping industry, the efficiency and accuracy of ship lifesaving systems remain significant challenges. To address the key issues of slow response and low intelligence in traditional maritime lifesaving systems, this study designs and implements an intelligent lifesaving system that integrates motion object detection with remote positioning and communication. A GPS positioning module is integrated for precise location acquisition, and GPRS technology is utilized to remotely transmit alarm information and location data to a rescue center. This constitutes a comprehensive technical solution comprising data acquisition, intelligent decision-making, wireless communication, and auxiliary rescue modules. Experimental results in a controlled wave pool environment demonstrate the system’s high efficacy, achieving a detection time of 15 s with a 96% accuracy and a 23.35% improvement in the rescue success rate under extreme conditions. The novelty of the proposed system lies in the integrated architectural approach and adaptive workflow. It intelligently synthesizes data from multiple sensors through a rule-based and model-driven decision pipeline. These findings suggest that the proposed integration enhances maritime rescue efficiency and reliability, highlighting its potential practical value for safe operations.