用于实时自动视觉检测系统中工具设置和匹配的NextGen校准实用程序

C. Edwards, C. Morgan, John D. Rudolph, Danniel Slinker, Debashis Panda
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引用次数: 2

摘要

计量和检测算法,无论多么稳健,将只显示可接受的性能在有限范围内的图像变化。随着我们的算法变得越来越先进,以越来越高的精度发现越来越小的缺陷,工具匹配/校准对于成功检查大量工具来说已经变得至关重要。我们提出了一种新的校准工具,它是通用的,足以用于各种各样的检测系统。它使我们能够确保每个工具上的关键成像参数在定义的范围内,从而保证各种工具产生的图像足够相似,并且算法将执行合格。这也简化了整个船队的配方管理/可移植性,允许在一个校准工具上创建的配方在任何其他校准工具上使用。这项工作涵盖了各种多学科材料,包括校准托盘概念/设计,关键成像参数,用户界面布局/设计,以及用于提取和检查校准托盘不同区域的各种计算机视觉算法。
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NextGen Calibration Utility for Tool Setup and Matching in Real-Time Automated Visual Inspection Systems
Metrology and inspection algorithms, no matter how robust, will only exhibit acceptable performance over a finite range of image variation. As our algorithms become more and more advanced, geared towards finding smaller and smaller defects with ever-increasing accuracy, tool matching/calibration has become essential for successful inspection across a large fleet of tools. We present a new calibration utility that is versatile enough to be used for a wide variety of inspection systems. It allows us to ensure that the key imaging parameters on each tool are within a defined range which guarantees that the images produced by various tools are sufficiently similar and that the algorithm will perform as qualified. This also simplifies recipe management/portability across the fleet, allowing recipes created on one calibrated tool to be used on any other calibrated tool. This work covers a variety of multidisciplinary material including the calibration tray concept/design, key imaging parameters, user interface layout/design, as well as a variety of computer vision algorithms used to extract and examine the different regions of the calibration tray.
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