AI-based Restoration Reflection Region Method for 3D Automatic Optical Inspection

Q3 Mathematics
Chan-Hoe Kim, Min-Ho Ha, Sung-Chul Yun, Tae-Hyoung Park
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引用次数: 0

Abstract

This study focuses on a three-dimensional measurement system of components on a printed-circuit-board (PCB). Most existing methods for automatic optical inspection face the problem of light reflecting on components. We herein propose a new method to restore the reflection area of components with the aim of measuring their shape accurately. This method use a pattern projection system along with an algorithm for restoring the components’ reflection area. For efficient restoration of the restore reflection area, the reflection regions are first identified through pixel resolution, wherein, saturated pixels represent the reflection regions. Then, the PCB components are tilted slightly using solder. These characteristics are used to, obtain the rotation matrix of a component, and its reflection area is restored. The performance of the proposed method is evaluated through a series of experiments, whose. results demonstrate its effectiveness.
基于人工智能的三维自动光学检测恢复反射区域方法
本文主要研究印制电路板(PCB)上元件的三维测量系统。大多数现有的自动光学检测方法都面临着光在部件上反射的问题。在此,我们提出了一种新的方法来恢复组件的反射面积,以准确地测量它们的形状。该方法使用图案投影系统以及用于恢复组件反射区域的算法。为了有效地恢复恢复反射区域,首先通过像素分辨率识别反射区域,其中,饱和像素表示反射区域。然后,使用焊料将PCB元件稍微倾斜。利用这些特性,得到一个分量的旋转矩阵,并恢复其反射面积。通过一系列实验对该方法的性能进行了评价。结果表明了该方法的有效性。
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
CiteScore
1.50
自引率
0.00%
发文量
128
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