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Practical Machine‐Vision Based Automatic Optical Inspection for ITO‐Coated Thin Glass
Author(s) -
Lieu Neil R.
Publication year - 1998
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.1833813
Subject(s) - machine vision , materials science , coating , aperture (computer memory) , flat glass , computer vision , computer science , optical glass , thin film , optics , automated x ray inspection , artificial intelligence , image processing , mechanical engineering , engineering , composite material , nanotechnology , image (mathematics) , physics
Abstract A commercial, machine‐vision based optical inspection system has been modified to inspect for defects in indiumtin oxide (ITO) coatings on thin, large aperture sheets of glass for use in flat panel displays. The system utilizes several lighting arrangements to detect specific types of coating defects.