中国海事Issue(5)：15-17,3.DOI:10.16831/j.cnki.issn1673-2278.2024.05.005
人工智能深度学习在海事监管系统的应用
Application of Deep Learning Based on Artificial Intelligence in Maritime Supervision System
张圣东 1温启锐1
作者信息
- 1. 南海航海保障中心深圳通信中心,广东 深圳 518000
- 折叠
摘要
Abstract
Maritime accidents and disasters not only pose a grave threat to people's lives and property but also cause severe harm to the marine environment.This paper introduces a maritime supervision system for floating oyster rafts and other sea-related elements using the deep learning method of artificial intelligence(AI)and the YOLOv8 object detection technology with the camera.The accuracy of the final model is 91.7%.It also studies the limitations of deep learning when it is applied in the maritime administrative system.The results show that the application of deep learning in the maritime supervision system is an effective approach.关键词
深度学习/海上危险物/智能识别/海事监管/YOLOv8/目标检测Key words
deep learning/maritime hazardous goods/intelligent identification/maritime supervision/YOLOv8/target detection分类
交通工程引用本文复制引用
张圣东,温启锐..人工智能深度学习在海事监管系统的应用[J].中国海事,2024,(5):15-17,3.
