基于机器视觉的零件表面缺陷自动检测识别研究  

Research on Automatic Detection and Identification of Part Defect Based on Machine Vision

作　　者：姚翠萍[1] YAO Cui-ping(Kunshan Dengyun College of Science and Technology,Suzhou Jiangsu215300,China)

机构地区：[1]昆山登云科技职业学院,江苏苏州215300

出　　处：《机电产品开发与创新》2024年第3期104-106,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：目前,零部件表面缺陷检测存在检测速度慢、效率低等问题,且针对某些形状较为复杂的工件,现有的检测系统不能灵活调整姿态来适应被检测的工件,针对这种种问题,文章以汽车轮毂为研究对象,在对汽车轮毂常见缺陷进行分析的基础上,提出了利用机器人视觉检测系统对其表面缺陷进行检测的方法,通过把手眼视觉系统安装在工业机器人的末端位置上,借助机器人自身的移动来调整手眼视觉系统采集图像时的姿态,最终实现汽车轮毂各曲面缺陷的检测,有效保障了轮毂的检测质量,对未来基于机器视觉技术的零件缺陷自动检测研究具有一定的借鉴意义。At present,parts defect detection has the problems of slow detection speed and low efficiency,Moreover,for some parts with more complex shapes,the existing detection system cannot flexibly adjust the attitude to adapt to the target part.Faced with these kinds of problems,The paper takes automobile wheel hub as the research object,firstly,the common defects of automobile wheel hub are analyzed,and the method of detecting the defects of parts by robot vision inspection system is proposed.By installing the vision system on the end effector of the robot and using the movement of the robot to change the attitude of the vision system so as to detect the surfaces of the automobile wheel hub,Which effectively guarantees the detection quality of wheel hub,and has certain reference significance for the future research of parts defect detection based on machine vision technology.

关 键 词：机器人 视觉系统 零件缺陷 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]