基于OpenMV的海上目标检测系统设计
Design of offshore target detection system based on OpenMV
王奕森 1吕邵成 1吴阳1
作者信息
- 1. 无锡太湖学院 智能装备工程学院,江苏 无锡 214064
- 折叠
摘要
海上目标检测技术在海洋监测、海上救援以及军事应用等方面扮演着重要角色.文章设计了一套基于OpenMV模块和控制模块的海上目标检测系统.该系统能实时采集并处理图像,以实现对海洋环境中小目标的高效精确识别、定位及预警,从而提升海上安全监测的效率和精确度.具体而言,系统运用深度学习框架实时检测海上船舶等目标,突破了传统目标检测技术在效率和性能上的局限,并成功将模型部署到OpenMV平台.实验证明了检测方案的有效性.
Abstract
Offshore target detection technology plays an important role in marine monitoring,marine rescue and military applications.In this paper,a set of offshore target detection system based on OpenMV module and control module is designed.The system can collect and process images in real time to realize efficient and accurate identification,positioning and early warning of small and medium-sized targets in marine environment,so as to improve the efficiency and accuracy of marine safety monitoring.Specifically,the system uses deep learning framework to detect marine vessels and other targets in real time,breaking through the limitations of traditional target detection technology in efficiency and performance,and successfully deploying the model to the OpenMV platform.The experiment proves the validity of the detection scheme.
关键词
海上目标/OpenMV/卷积神经网络/检测Key words
offshore target/OpenMV/convolutional neural network/detection引用本文复制引用
基金项目
江苏省大学生创新创业训练计划(2023)(202313571003Z)
出版年
2024
NETL
NSTL
万方数据