基于机器视觉的汽车排气管垫片缺陷检测  

Defect of Gaskets for Automotive Exhaust Pipes Based on Machine Vision

作　　者：李叶铭 远飞[1] 张云[1] 翟弘煜 Li Yeming;Yuan Fei;Zhang Yun;Zhai Hongyu(Wuxi Vocational Institute of Commerce,Wuxi 214153,Jiangsu)

机构地区：[1]无锡商业职业技术学院,江苏无锡214153

出　　处：《武汉工程职业技术学院学报》2024年第2期35-38,共4页Journal of Wuhan Engineering Institute

基　　金：2023年无锡商业职业技术学院创新实践项目“基于YOLO算法的钢材表面缺陷检测研究2023B10H005”。

摘　　要：汽车排气管垫片上圆孔的位置、圆孔的半径大小和两内边的距离必须控制在0.05mm的误差范围内,才能顺利装配。机器视觉自动化检测代替人工检测可以提高检测的精度和效率。文章采用康耐视的In-Sight软件研究了汽车排气管垫片的机器视觉检测方法,通过Plot工具将各项检测结果和垫片合格与否显示出来。这种检测方法可以准确判断垫片是否满足装配要求,极大地提高了检测效率。The position and radius of the circular hole on the gasket of the car exhaust pipe,as well as the distance between the two inner edges,must be controlled within an error range of 0.05mm in order to be assembled smoothly.Replacing manual inspection with machine vision automation can improve the accuracy and efficiency of inspection.The article uses In-Sight software from Cognex to study the machine vision inspection method for automotive exhaust pipe gaskets,and displays the inspection results and whether the gaskets are qualified or not with the Plot tool.This detection method can accurately determine whether the gasket meets assembly requirements,greatly improving detection efficiency.

关 键 词：机器视觉 康耐视 IN-SIGHT 垫片 缺陷检测 智能检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]