Method and Device for Effectively Utilizing OpenCV to Detect PCB Board Size

Journal of Engineering Mechanics and Machinery Pub Date : 2023-01-01 DOI:10.23977/jemm.2023.080206

Guihua Huang, Tingting Zhang, Changxiang Chen

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引用次数: 0

Abstract

: In the process of PCB board production, it is necessary to accurately measure the contour dimensions of the PCB board and the dimensions of various types of wires, holes, or slots on the PCB board to avoid a large number of defective products flowing into the subsequent production process. In existing technology, the measurement of the dimensions of wires, holes, or slots on the PCB board mostly relies on manual work, which has the problems of low measurement efficiency and high measurement error rate, Unable to meet the efficient and high-quality production needs of PCB boards. This article proposes a method and device for effectively utilizing OpenCv to detect PCB board size. This device is based on an optical image measurement system, combined with the template matching method in OpenCv, and can automatically complete forming inspection and size measurement by scanning multiple PCB boards by one time.This device can complete measurement evaluation, report generation, and SPC data analysis for multiple PCB boards, achieving high automation and significantly improving measurement accuracy system.

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一种有效利用OpenCV检测PCB板尺寸的方法与装置

:在PCB板生产过程中，要准确测量PCB板的轮廓尺寸和PCB板上各类导线、孔、槽的尺寸，避免大量不良品流入后续的生产过程中。在现有的技术中，PCB板上导线、孔、槽的尺寸测量大多依靠手工作业，存在测量效率低、测量错误率高的问题，无法满足PCB板高效、高质量的生产需求。本文提出了一种有效利用OpenCv检测PCB板尺寸的方法和装置。该设备以光学图像测量系统为基础，结合OpenCv中的模板匹配方法，通过一次扫描多块PCB板，自动完成成型检测和尺寸测量。该装置可完成多块PCB板的测量评估、报告生成和SPC数据分析，实现了高度自动化，显著提高了系统的测量精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Engineering Mechanics and Machinery

自引率

0.00%

发文量

审稿时长

8 weeks