A Machine Vision Architecture For Integrated Circuit Inspection

1989 ◽  
Author(s):  
Sal D' Agostino
Keyword(s):  
Machine Vision ◽  
Integrated Circuit ◽  
Integrated Circuit Inspection

Use of color in integrated-circuit inspection

1990 ◽  
Author(s):  
Matthew J. Barth ◽  
Gerardo Beni ◽  
Susan Hackwood
Keyword(s):  
Integrated Circuit ◽  
Integrated Circuit Inspection

Size Detection System for Integrated Circuit Lead Frame Using Machine Vision

2018 ◽  
Author(s):  
Lu Chen ◽  
Yuying Guo ◽  
Hongyu Chu ◽  
Yanhua Shao ◽  
Zhiyuan Chang ◽  
...  
Keyword(s):  
Machine Vision ◽  
Integrated Circuit ◽  
Detection System ◽  
Lead Frame

A new machine-vision-based approach for rapid dimensional inspection of an integrated circuit carrier tape

2009 ◽  
Vol 223 (3) ◽  
pp. 145-154
Author(s):  
S-H Chen ◽  
T-T Liao ◽  
C-T Chen
Keyword(s):  
Machine Vision ◽  
Integrated Circuit ◽  
Ccd Camera ◽  
Light Sources ◽  
Charge Coupled Device ◽  
Lighting Conditions ◽  
Environmental Lighting ◽  
Canny Edge ◽  
Edge Detection Method ◽  
A Charge

This study presents a rapid and reliable machine vision technique for measuring the principal features of interest in an integrated circuit carrier tape, namely the diameters of the circular sprocket perforations and centre hole, the width of the carrier tape, and the width and length of the centre cavity. In performing the measurement process, the quality of the image acquisition process is enhanced by using two auxiliary light sources to suppress the effects of natural variations in the environmental lighting conditions. Having acquired the image using a charge coupled device (CCD) camera, the features of interest are separated from the background region of the image using a two-threshold algorithm based on the Otsu threshold selection method. The edge of each feature is then extracted from the binary image using the Canny edge detection method. The dimensions of the circular features are obtained by fitting four right-angle triangles within the periphery of the extracted circular edge and then computing the circle diameter by taking the mean of the hypotenuse values of the four triangles as computed using the Pythagorean theorem.

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