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Research on Application of Artificial Intelligence Technology in Scanning Survey of Submerged Container

  • Shunbin Chen

摘要

Container transportation has become an important form of modernization in transportation due to its high efficiency and convenience, and has become the backbone of international trade transportation. With the development of container transportation, container drowning accidents have occurred frequently in recent years, posing a serious threat to the safety of ship navigation. In order to minimize accident losses and ensure the order of maritime transportation, once an accident occurs, it is urgent to be able to quickly and accurately locate and effectively salvage the containers that have fallen into the water. In view of this, this article first comprehensively and deeply introduces the main scanning methods for current submerged containers, and analyzes in detail the principles, advantages, and limitations of each method. On this basis, this study focuses on the innovative application of artificial intelligence technology in the field of underwater container scanning and testing. Through in-depth exploration of its technical path and practical effects, the aim is to effectively improve the scanning and testing efficiency of underwater containers, provide strong technical support and scientific basis for maritime emergency response work, and help build a safer and more efficient container transportation guarantee system.