摘要
本文提出一种基于机器视觉的机器人自动上料系统的设计方案。系统利用相机对工件形状、大小和位姿信息进行采集,上位机的图像软件进行处理并与设定好的标准模板进行特征匹配,最后通过PLC控制的工业机器人利用获得的位姿信息进行快速抓取,触摸屏能够作为操作平台和监控设备来保障系统稳定运行。实验结果显示,自动上料系统能够精确抓取物体,减少了上料时间,提高了生产效率。
In the paper,a design scheme of robot automatic feeding system based on machine vision is designed,which uses the camera to collect the shape,the size and location information of the workpiece,then the image software of the upper computer processes and matches with the set standard template.Finally the PLC control of industrial robot uses the location of the information for quick grab,the touch screen is used as the operation platform and monitoring equipment to ensure the system stable operation.The experiment results show that the automatic feeding system can accurately grasp the object,reduce the feeding time,improve the production efficiency,and has the prospect of machining application.
作者
张大为
沈勇
Zhang Dawei;Shen Yong(School of Electrical Information Engineering,Yunnan Minzu University,Kunming 650000,China)
出处
《单片机与嵌入式系统应用》
2021年第3期55-58,63,共5页
Microcontrollers & Embedded Systems
基金
2019年云南省专业学位研究生教学案例库资助项目(云学位{2019}17)。
关键词
机器视觉
自动上料
位姿信息
特征匹配
machine vision
automatic feeding
location information
feature matching
