NEON-1040智能相机的轴承尺寸检测系统
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摘要
轴承零件尺寸精度对保证轴承性能至关重要。针对目前市场缺乏高效、无损轴承零件流水线检测设备的现状,本文提出了一种基于机器视觉技术的轴承零件尺寸在线检测系统。文章首先从智能相机和照明光源入手,详细介绍了系统硬件设计;再从检测算法入手,介绍了系统软件设计;最后使用608轴承零件测试了系统性能。测试结果表明,检测系统的准确性和精度符合工业应用的要求。
Dimensional accuracy of bearing parts is very important to ensure bearing performance. Efficient and non-destructive pipeline testing instruments for bearing parts are relatively scarce, so this paper presents an on-line measuring system for bearing size based on machine vision technology. The hardware design of the system is described particularly, starting from smart camera and lighting source. And the software design of the system also is described particularly, starting from detection algorithm. Finally, 608 bearings are used to test system performance. The result shows that the accuracy and precision of the system meet the requirements of industrial application.
Dimensional accuracy of bearing parts is very important to ensure bearing performance. Efficient and non-destructive pipeline testing instruments for bearing parts are relatively scarce, so this paper presents an on-line measuring system for bearing size based on machine vision technology. The hardware design of the system is described particularly, starting from smart camera and lighting source. And the software design of the system also is described particularly, starting from detection algorithm. Finally, 608 bearings are used to test system performance. The result shows that the accuracy and precision of the system meet the requirements of industrial application.
引文
[1]韩亮.基于机器人视觉的轴承缺珠检测方法.机床与液压,2017,45(14):151-153
[2]杨晓蔚,伍海云.滚动轴承对滚动体的技术要求.轴承,2010(8):57-61
[3]钱佳立,陆惠宗,袁巨龙,吕冰海,陈士豪.基于光学原理的轴承球体表面缺陷检测方法研究.表面技术, 2018, 47(10):309-314
[4]孙虹,王仲,付鲁华,刑芊.一种新型钢球表面检测方法的分析与系统实现.机械科学与技术, 2016, 35(1):118-121
[5]杨东林,于正林.轴承钢球表面缺陷的快速检测方法.兵工学报,2009, 30(6):797-802
[6]铉佳平.钢球全表面展开装置关键零件结构研究[硕士学位论文].哈尔滨理工大学,哈尔滨, 2014
[7]袁冬冬,应俊,解利军,周迪斌.基于机器视觉的轴承防尘盖检测算法.计算机系统应用, 2019, 28(1):212-215
[8]袁清珂,张振亚,吴晖辉,毕庆,陈圣明.基于机器视觉系统的自动检测系统设计与开发.组合机床与自动化加工技术, 2014(11):119-121
[9]刘青,张进华,黄军勤.基于机器视觉的钢球表面缺陷检测和分类.轴承, 2013(10):44-48
[10]秦钟伟,陈捷,洪荣晶.基于机器视觉的滚动轴承滚动体检测.组合机床与自动化加工技术, 2019(1):118-120
[11]崔明,顾启民,黄震.基于机器视觉的轴承滚动体缺陷检测算法研究.组合机床与自动化加工技术, 2015(11):74-78
[2]杨晓蔚,伍海云.滚动轴承对滚动体的技术要求.轴承,2010(8):57-61
[3]钱佳立,陆惠宗,袁巨龙,吕冰海,陈士豪.基于光学原理的轴承球体表面缺陷检测方法研究.表面技术, 2018, 47(10):309-314
[4]孙虹,王仲,付鲁华,刑芊.一种新型钢球表面检测方法的分析与系统实现.机械科学与技术, 2016, 35(1):118-121
[5]杨东林,于正林.轴承钢球表面缺陷的快速检测方法.兵工学报,2009, 30(6):797-802
[6]铉佳平.钢球全表面展开装置关键零件结构研究[硕士学位论文].哈尔滨理工大学,哈尔滨, 2014
[7]袁冬冬,应俊,解利军,周迪斌.基于机器视觉的轴承防尘盖检测算法.计算机系统应用, 2019, 28(1):212-215
[8]袁清珂,张振亚,吴晖辉,毕庆,陈圣明.基于机器视觉系统的自动检测系统设计与开发.组合机床与自动化加工技术, 2014(11):119-121
[9]刘青,张进华,黄军勤.基于机器视觉的钢球表面缺陷检测和分类.轴承, 2013(10):44-48
[10]秦钟伟,陈捷,洪荣晶.基于机器视觉的滚动轴承滚动体检测.组合机床与自动化加工技术, 2019(1):118-120
[11]崔明,顾启民,黄震.基于机器视觉的轴承滚动体缺陷检测算法研究.组合机床与自动化加工技术, 2015(11):74-78