机电工程技术2024，Vol.53Issue(5)：191-195,5.DOI:10.3969/j.issn.1009-9492.2024.05.042
工业机器人视觉分拣实训系统设计
Design of Visual Sorting Training System for Industrial Robot
摘要
Abstract
In order to meet the needs of integrated training of industrial robot and machine vision system,a lightweight visual host computer system is designed,including system control module,real-time display module,image processing module and network communication module.The system control module includes camera parameters and system parameter settings.The real-time display module includes a camera real-time image monitor,communication logs and standard template display.The image processing module is responsible for image acquisition,ROI segmentation,angle calculation and digital recognition,it can calculates the rotation angle based on AKAZE feature matching and RANSAC optimization algorithm,and uses KNN algorithm to identify the number printed on the workpieces.The network communication module uses visual host computer software as socket communication server,the results of"color,angle,number"of the workpiece will be sent to the ABB industrial robot via Ethernet communication.The visual sorting test results show that the visual system has high recognition efficiency and stability for workpieces with different colors and numbers.The training system can meet the training requirements of automation majors and cultivate students'engineering practice ability and innovation ability.关键词
机器视觉/实训/机器人分拣/AKAZE算法Key words
machine vision/training/robotic sorting/AKAZE/algorithm分类
信息技术与安全科学引用本文复制引用
肖成军,王文蓉,曾令超,莫慧芳..工业机器人视觉分拣实训系统设计[J].机电工程技术,2024,53(5):191-195,5.基金项目
2022年广州市教育局高校科研项目(202235382) （202235382）
2022年度广州市高等教育教学质量与教学改革工程资助项目(2022CXCYJH033) （2022CXCYJH033）
2022年广州市高等教育教学质量与教学改革工程项目(2022JSJXCXTD028) （2022JSJXCXTD028）
