摘要
随着工业自动化技术的快速发展,将机器视觉应用于工业分拣系统有利于提高分拣系统的工作效率和智能化程度。本文针对机器视觉技术在工业分拣中的关键技术进行研究,采用基于模板匹配的图案定位方法实现工件的识别定位,利用工具坐标系的建立与示教完成机械手-相机标定。实验结果表明,分拣系统能够快速、准确的完成分拣任务,具有较高的应用价值。
With the rapid development of industrial automation technology,the application of machine vision in industrial sorting system is conducive to improving the efficiency and intelligence of sorting system.In this paper,the key technology of machine vision technology in industrial sorting is studied.The pattern positioning method based on template matching is used to realize the recognition and positioning of workpiece,and the calibration of manipulator-camera is completed by the establishment of tool coordinate system and teaching.The experimental results show that the sorting system can complete the sorting task quickly and accurately,and has high application value.
作者
崔明
苏凡
CUI Ming;SU Fan(Jiangsu Vocational College Agriculture and Forestry,Zhenjiang Jiangsu 212400)
出处
《数字技术与应用》
2019年第8期82-83,共2页
Digital Technology & Application
基金
江苏农林职业技术学院科技项目(2019kj037)
关键词
机器视觉
工业机器人
分拣
关键技术
machine vision
industrial robots
sorting
key technologies
