基于机器视觉的工件识别和定位系统设计  

Design of Workpiece Recognition and Positioning System Based on Machine Vision

作　　者：张家宁 刘星龙 支勇超 张晓萍 张健华 Zhang Jianing;Liu Xinglong;Zhi Yongchao;Zhang Xiaoping;Zhang Jianhua(Applied Technology College of Soochow University,Kunshan,China;Suzhou Tesmy Intelligent Manufacturing Co.,Ltd.,Taicang,China)

机构地区：[1]苏州大学应用技术学院,江苏昆山 [2]苏州特斯迈智能制造股份有限公司,江苏太仓

出　　处：《科学技术创新》2024年第4期64-67,共4页Scientific and Technological Innovation

基　　金：江苏省高等学校基础科学(自然科学)研究面上项目(项目编号23KJD430010)。

摘　　要：目前在制造工业产线上的机械手大多采用人工输入指令控制执行机构运动,只能完成固定模板下的操作,对于一些复杂工况很可能致使机器人运作失败。这一定程度上导致生产成本升高,工作效率低和自动化程度降低。在制造产线中增加机器视觉技术,将机器视觉中的远程检测、图像识别、定位和引导等技术引用到机器控制系统中,使得机器能够自主应对环境变化,可以提高机器工作的智能化和自动化。本文将机器视觉引入工业机器自动化生产线并通过视觉识别与引导实现工件定位和抓取。着重对系统搭建的关键步骤、相机与机器坐标的统一和工件识别算法进行设计和开发。At present,most of the manipulators on the manufacturing industrial production line use manual input instructions to control the movement of the actuator,and can only complete the operation under the fixed template,and it is likely to cause the robot operation to fail for some complex working conditions.To some extent,this leads to higher production costs,low work efficiency and reduced automation.Add machine vision technology to the manufacturing line,and introduce remote detection,image recognition,positioning and guidance technologies in machine vision to the machine control system,so that the machine can independently respond to environmental changes,and can improve the intelligence and automation of machine work.This paper introduces machine vision into the automatic production line of industrial machines and realizes workpiece positioning and grasping through visual recognition and guidance.Focus on the key steps of system construction,the unification of camera and machine coordinates,and the design and development of workpiece recognition algorithms.

关 键 词：机器视觉 视觉定位 图像识别 定位 VisionPro 

分 类 号：TH166[机械工程—机械制造及自动化]