船舶运输在全球经济中扮演着重要角色，人工值守经常会由于人员疏忽造成船舶和船舶碰撞，造成巨大的经济损失和环境污染。本文提出一种基于嵌入式的船舶智能预警系统，对激光测距技术和机器视觉技术进行阐述和分析，设计了船舶嵌入式智能预警系统的整体架构，有效解决了多源数据融合、位置感知、环境感知等问题。通过使用YOLO V7进行训练，实现了对不同船舶的识别且具有较高的准确率，在实际应用中可以更加有效地对船舶产生潜在的威胁作出综合性判断。本文设计的船舶嵌入式智能预警系统为实现船舶无人值守提供了必要辅助。
Ship transportation plays an important role in the global economy, and the collision between ship and ship is often caused by the negligence of personnel, resulting in huge economic losses and environmental pollution. This paper proposes a ship intelligent early warning system based on embedded, describes and analyzes the laser ranging technology and machine vision technology, designs the overall architecture of the ship embedded intelligent early warning system, effectively solves the problems of multi-source data fusion, location perception, environment perception, etc., and realizes the identification of different ships through training with YOLO V7. It has a high accuracy rate and can make a comprehensive judgment of potential threats to ships more effectively in practical applications. The ship embedded intelligent early warning system designed in this paper provides necessary assistance for the realization of unattended ships.
2023,45(17): 178-181 收稿日期：2023-04-08
DOI：10.3404/j.issn.1672-7649.2023.17.036
分类号：U667.65
作者简介：裴宇(1996-),男,硕士,研究方向为信息管理与智能科学
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