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

2020 ◽  
Author(s):  
Chris Edwards ◽  
Cody L. Morgan ◽  
John Rudolph ◽  
Danniel Slinker ◽  
Debashis Panda
Keyword(s):  
Real Time ◽  
Visual Inspection ◽  
Automated Visual Inspection ◽  
Inspection Systems

A Real-Time Automated Visual Inspection System for Hot Steel Slabs

1983 ◽  
Vol PAMI-5 (6) ◽  
pp. 563-572 ◽  
Author(s):  
Bindinganavle R. Suresh ◽  
Richard A. Fundakowski ◽  
Tod S. Levitt ◽  
John E. Overland
Keyword(s):  
Real Time ◽  
Visual Inspection ◽  
Inspection System ◽  
Automated Visual Inspection ◽  
Steel Slabs

scholarly journals A CONTRAST-BASED APPROACH TO THE IDENTIFICATION OF TEXTURE FAULTS

2002 ◽  
Vol 16 (02) ◽  
pp. 193-214
Author(s):  
FRANCESCO G. B. DE NATALE ◽  
FABRIZIO GRANELLI ◽  
GIANNI VERNAZZA
Keyword(s):  
Computational Complexity ◽  
Real Time ◽  
Texture Analysis ◽  
Visual Inspection ◽  
Experimental Results ◽  
Discrimination Capability ◽  
The Past ◽  
Inspection Systems ◽  
Real Time Applications ◽  
Good Attitude

Texture analysis based on the extraction of contrast features is very effective in terms of both computational complexity and discrimination capability. In this framework, max–min approaches have been proposed in the past as a simple and powerful tool to characterize a statistical texture. In the present work, a method is proposed that allows exploiting the potential of max–min approaches to efficiently solve the problem of detecting local alterations in a uniform statistical texture. Experimental results show a high defect discrimination capability, and a good attitude to real-time applications, which make it particularly attractive for the development of industrial visual inspection systems.

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