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http://dx.doi.org/10.5302/J.ICROS.2009.15.9.906

Statistical Prediction of False Alarm Rates in Automatic Vision Inspection System  

Joo, Young-Bok (연세대학교 컴퓨터과학과)
Huh, Kyung-Moo (단국대학교 전자공학과)
Park, Kil-Houm (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.9, 2009 , pp. 906-908 More about this Journal
Abstract
AVI (Automatic Vision Inspection) systems automatically detect defect features and measure their sizes via camera vision. It is important to predict the performance of an AVI to meet customer's specification in advance. Also the prediction can indicate the level of current performance of an AVI system. In this paper, we propose a statistical method for prediction of false alarm rate regarding inconsistency of defect size measurement process. For this purpose, only simple experiments are needed to measure the defect sizes for certain number of times. The statistical features from the experiment are utilized in the prediction process. Therefore, the proposed method is swift and easy to implement and use. The experiment shows a close prediction compared to manual inspection results.
Keywords
automatic; vision; inspection; statistical; prediction; defect; size; mesurement;
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