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자동결함 검출시스템에서 결함크기 측정오차로 인한 오검률의 통계적 예측

Statistical Prediction of False Alarm Rates in Automatic Vision Inspection System

  • 주영복 (연세대학교 컴퓨터과학과) ;
  • 허경무 (단국대학교 전자공학과) ;
  • 박길홈 (경북대학교 전자전기컴퓨터학부)
  • 발행 : 2009.09.01

초록

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.

키워드

참고문헌

  1. E. N. Malamas, E. G. M. Patrakis, M. Zervakis, L. Petit, and J. D. Legat, 'A survey on industrial vision systems, applications and tools,' Image and Vision Computing, vol. 21, issue 2, pp. 171-188, Feb. 2003 https://doi.org/10.1016/S0262-8856(02)00152-X
  2. R. Sablatnig, 'A flexible concept for automatic visual inspection,' Czech Pattern Recognition Workshop'97, Proc. of (CPRW97), 1997
  3. J. H. N. Mattick, R. W. Kelsall, and R. E. Miles, 'Improved critical area prediction by application of pattern recognition techniques,' Microelectronics Reliability, vol. 36, no. 11-12, pp. 1815-1818, Dec. 1996 https://doi.org/10.1016/0026-2714(96)00204-1