[1]王建冲,高军伟,张炳星,等.基于机器视觉的SOP芯片引脚缺陷检测系统[J].工业仪表与自动化装置,2022,(05):32-37.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.006]
　WANG Jianchong,GAO Junwei,ZHANG Bingxing,et al.Design of SOP chip pin defect detection system based on machine vision[J].Industrial Instrumentation & Automation,2022,(05):32-37.[doi:10.19950/j.cnki.cn61-1121/th.2022.05.006]

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基于机器视觉的SOP芯片引脚缺陷检测系统

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:

期数:

2022年05期

页码:

32-37

栏目:

出版日期:

2022-10-15

文章信息/Info

Title:

Design of SOP chip pin defect detection system based on machine vision

文章编号:

1000-0682（2022）05-0000-00

作者:

王建冲1; 2; 高军伟1; 2; 张炳星1; 2; 刘佳浩1; 2

1.青岛大学 自动化学院；

2.山东省工业控制技术重点实验室，山东 青岛 266071

Author(s):

WANG Jianchong1; 2; GAO Junwei1; 2; ZHANG Bingxing1; 2; LIU Jiahao1; 2

1. College of Automation,Qingdao University, Shandong Qingdao 266071,China;

2. Shandong Provincial Key Laboratory of Industrial Control Technology, Shandong Qingdao 266071,China

关键词:

机器视觉; 改进的边缘检测; 连通域标记; 灰度投影; 缺陷检测

Keywords:

machine vision; improved edge detection; connected domain marker; gray projection; defect detection

分类号:

TP391

DOI:

10.19950/j.cnki.cn61-1121/th.2022.05.006

文献标志码:

A

摘要:

针对传统工业中SOP芯片引脚缺陷检测速度慢、精度低等问题，设计了一个基于机器视觉的SOP芯片引脚缺陷检测系统，通过MATLAB软件调用CCD相机采集芯片图像，采用改进的Canny边缘检测等算法实现引脚边缘的连接，采用连通域标记和灰度投影算法对得到的二值芯片引脚图像进行缺陷检测并完成GUI界面的设计。由实验数据可知，系统对芯片引脚缺陷检测的正确率为99.6%，测量误差在±0.03 mm之内，满足了工业生产中SOP芯片引脚缺陷检测实时性和准确性的需求。

Abstract:

Aiming at the problem of low detection speed and low accuracy of pin defects in traditional SOP chip in industry, a pin defect detection system based on machine vision was designed. The chip image was collected by using CCD camera through MATLAB software, and the improved Canny edge detection algorithm was used to realize pin edge connection. The defect detection of binary chip pin image is carried out by using connected domain marker and gray projection algorithm. The GUI interface is designed. According to the experimental data, the accuracy rate of chip pin defect detection by the system is 99.6%, and the measurement error is within ±0.03mm, which meets the real-time and accuracy requirements of pin defect detection of SOP chip in industrial production.

参考文献/References:

[1] 李本红,张淼,欧幸福.基于机器视觉的SOP芯片引脚缺陷检测系统设计[J].电子器件,2017,40(01):171-178.

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备注/Memo

备注/Memo:

收稿日期：2022-06-14

基金项目：

山东省自然科学基金资助项目（ZR2019MF063）；

山东省重点研发计划项目（2017GGX10115）

作者简介：

王建冲（1998），男，山东省菏泽市人，硕士研究生，研究方向为智能系统与智能控制。

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