计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 595-597.

• 综合、交叉与应用 • 上一篇    下一篇

基于LabVIEW机器视觉的餐具分拣系统

张文勇,陈乐柱   

  1. 安徽工业大学电气与信息工程学院 安徽 马鞍山243000
  • 出版日期:2018-06-20 发布日期:2018-08-03
  • 作者简介:张文勇(1993-),男,硕士生,主要研究方向为机器视觉的应用,E-mail:1083869251@qq.com;陈乐柱(1964-),男,硕士,教授,主要研究方向为自动控制系统与工业机器人。

Tableware Sorting System Based on LabVIEW Machine Vision

ZHANG Wen-yong, CHEN Le-zhu   

  1. Electrical and Information Institute of Anhui University of Technology,Maanshan,Anhui 243000,China
  • Online:2018-06-20 Published:2018-08-03

摘要: 随着国内工业机器人行业的高速发展,智能装备也开始应用于工程实践项目中。机器视觉作为机器人的眼睛,近年来取得了令人瞩目的发展,正广泛地应用于各种工况监视、成品检验和质量控制领域。系统主要以碗碟餐具的分拣作为研究对象,采用美国NI公司开发的LabVIEW软件作为开发环境,通过调用视觉开发工具包IMAQ Vision及Vision Assistant丰富的专业化控件和函数库,针对碗碟分类的特殊条件,设计出一套方便易用,且同时集成图像采集、图像处理、视觉检测、决策判断的完整的机器视觉应用系统。基于LabVIEW的机器视觉系统的应用实现了碗碟分拣,解决了实际应用中的一些问题,为进一步的研究开发奠定了较好的基础。该系统的设计大大提高了餐具分类的准确率与效率。

关键词: Vision Assistant, 分拣, 机器视觉, 图像处理

Abstract: With the rapid development of the domestic industrial robot industry,intelligent equipment begins to be applied to engineering practice projects.Machine vision,as the eyes of the robot,enjoying diverse applications over condition monitoring,inspection and quality control field,has made remarkable development in recent years.Regarding the sorting of table wares as the research object,this system mainly adopts the LabVIEW software developed by the U.S.NI companies as development environment,by invoking abundant specialized controls and function library of the visual development kit IMAQ Vision and Vision Assistant.Simultaneously,taking the special conditions of the dishes classification into account,this paper designed a set of machine vision application systems,which not only are easy-used but also integrate the image acquisition with image processing,visual inspection and judgment.Based on LabVIEW,the application of machine vision system implements the function of sorting dishes,and solves some problems in practical application,which has laid a good foundation for further research and development.Therefore,the system greatly improves the accuracy and efficiency of the cutlery classification.

Key words: Image processing, Machine vision, Sorting, Vision assistant

中图分类号: 

  • TP242
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