基于RT-Linux的球网格阵列检测机器视觉系统

X. Nianjiong, C. Qixin, Fu Zhuang, Jey Lee
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引用次数: 1

摘要

本文提出了一种球栅阵列(BGA)检测的机器视觉系统。双目视觉系统可以通过光学方法提供足够的几何信息来监测焊锡球的质量。提出了一种新的测量BGA导线共面度的光学方法,并从理论上验证了该方法的可行性。本研究的重点是评估关键特性的算法,包括锡球的高度、锡球的大小、共面性和节距,这些特征用于检测锡球缺陷。这些算法是在RT-Linux操作系统上实现的。为开发更快、更实时的检测方法提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A machine vision system of ball grid array inspection on RT-Linux OS
In this paper, a machine vision system for ball grid array (BGA) inspection is proposed. The binocular vision system can provide enough geometrical information by an optical approach for monitoring the quality of solder balls. A new optical method for BGA lead coplanarity measurement has been proposed, whose feasibility was verified in theory. This study is focused on algorithms for evaluating the critical characteristics, including the height of solder balls, the size of solder balls, coplanarity, and pitch, which are used to detect solder ball defects. These algorithms are implemented on an RT-Linux operating system. It provides a reference for the development of higher-speed and real-time inspection methods.
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