摘要
工业机器人广泛应用于自动化生产线上完成工件搬运、上下料等操作，机器视觉的引入增加机器人了的灵活性和智能化。本文对基于视觉的工业机器人工件分拣的技术进行研究，机器视觉系统对传送带上进入工作区的工件进行图像采集，根据图像信息提取工件特征参数，识别出工件类型，并判断出工件所处的位置姿态，最后控制机器人执行抓取。经过实验表明本系统工作可靠，提高了自动化生产线效率和柔性。
Industrial robots have been widely used on industrial production Line to complete a variety of operations such as workpiece handLing, loading and unloading, etc.The machine vision can improve robotic flexibilities and IntelLigence.This paper introduces researching machine vision for the workpiece Sorting technology of industrial robot. When workpiece enter the sorting operation area, machine vision system capture image information to extract the feature parameters of workpiece, recognize the workpiece types, colour, size, and to judge the position and posture of workpiece, and finally control the robot to implement the sorting action.Experiments prove the system work refiabifity, improve the efficiency and flexibility of the automatic production line.
出处
《电子世界》
2014年第22期205-206,共2页
Electronics World
关键词
工业机器人
分拣
机器视觉
工件识别
定位
industrial robot
sorting
machine vision
workpiece recognition
location
