NextGen Calibration Utility for Tool Setup and Matching in Real-Time Automated Visual Inspection Systems

被引:1
作者
Edwards, Chris [1 ]
Morgan, Cody L. [1 ]
Rudolph, John [1 ]
Slinker, Danniel [1 ]
Panda, Debashis [1 ]
机构
[1] Intel Corp, Automat Assembly & Test Technol Dev, Chandler, AZ 85226 USA
来源
2020 31ST ANNUAL SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE (ASMC) | 2020年
关键词
calibration; vision; defect; inspection; imaging; machine;
D O I
10.1109/asmc49169.2020.9185401
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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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页数:6
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