摘要
在迅速发展的互联网时代,图像识别技术在航空、军事、交通安全、计算机视觉等方面都有着广泛而显著的应用。在航空维修工具管理中,目前对精细化工具的存放和管理仍然大量使用的是传统的各种尺寸的工具箱,如何科学而有效地解决高精度航空维修工具的存管问题是一项重要而迫切的任务。为了满足航空维修工具管理的要求,提出了一种以图像识别技术为基础的工具智能管理系统。采用了HOG算法在图像识别处理中的关键技术,对工具箱内的工具信息进行分析处理。经实验证明以图像识别技术为基础的工具箱管理方法能快速、准确地对工具箱内的工具进行分析处理。在此基础上又给出了一套完整的管理系统进行工具箱的管理,从而实现了对工具的智能管理。
In the rapidly developing Internet age,image recognition technology has been widely and significantly applied in aviation,military,traffic safety,computer vision and other aspects. In the management of aviation maintenance tools,the traditional toolbox of various sizes is still widely used in the storage and management of fine tools. How to scientifically and effectively solve the storage and management problem of high-precision aviation maintenance tools is an important and urgent task. In order to meet the requirements of aviation maintenance tool management,we propose an intelligent tool management system based on image recognition technology. HOG algorithm is adopted to analyze and process the tool information in the tool box. The experiment shows that the tool box management method based on image recognition technology can analyze and process the tools in the tool box quickly and accurately. On this basis,we present a set of complete management system to manage the toolbox,so as to realize the intelligent management of tools.
作者
毕杨
宋飞
王轩
BI Yang;SONG Fei;WANG Xuan(School of Electronic Engineering,Xi’an Aeronautical University,Xi’an 710000,China)
出处
《计算机技术与发展》
2020年第7期199-203,共5页
Computer Technology and Development
基金
西安市科技计划科技创新引导项目(201805032YD10CG16(2))
航空科学基金(201809T7001)。
关键词
图像识别
HOG算法
航空工具
智能管理系统
工具箱
image recognition
HOG algorithm
aviation tools
intelligent management system
tool box
