基于机器视觉的预应力夹片质量检测  

Quality Inspection of Prestressed Clip Based on Machine Vision

作　　者：刘欢 侯文峰[1] 毕天昊 

机构地区：[1]广州番禺职业技术学院,广东广州511483

出　　处：《工业控制计算机》2023年第2期74-76,共3页Industrial Control Computer

基　　金：广东省普通高校青年创新人才项目(自然科学)(2018KQNCX409);智能精密装备及机器视觉检测技术创新团队建设研究,2022年校级教育教学改革项目(番职院科[2022]3号,2022JG18);智能精密装备及机器视觉检测技术创新团队,校级学术创新团队(番职院科[2020]82020CXTD007)。

摘　　要：针对机械行业预应力夹片质量检测存在的问题,提出使用新型的机器视觉检测理论,设计了预应力夹片检测装置硬件部分和软件部分。根据系统需要,完成了光源、镜头、工业摄像机等硬件的选型,搭建了机器视觉硬件检测装置。提出使用开源的计算机视觉库OpenCV进行数字图像处理,结合图形界面库Qt用于人机界面的显示,研发了预应力夹片检测装置的软件部分。实验结果证实该预应力夹片质量检测装置的方案和预应力夹片质量检测算法是可行的,装置的硬件性能和检测算法实现均达到了预期要求。Aiming at the problems existing in the quality inspection of prestressed clip in machinery industry,this paper puts forward the use of new machine vision inspection theory,and designs the hardware and software of prestressed clip inspection device.According to the needs of the system,the selection of hardware such as light source,lens and industrial camera is completed,and the machine vision hardware detection device is built.It is proposed to use the open source computer vision library opencv for digital image processing.Combined with the graphical interface library QT for the display of man-machine interface,the software part of prestressed clip detection device is developed.The experimental results show that the scheme of the prestressed clip quality detection device and the prestressed clip quality detection algorithm are feasible,and the hardware performance and detection algorithm of the device meet the expected requirements.

关 键 词：预应力夹片 图像处理 OPENCV 质量检测 

分 类 号：TH186[机械工程—机械制造及自动化] TP391.41[自动化与计算机技术—计算机应用技术]