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An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

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Automated visual inspection: a survey.

R T Chin¹, C A Harlow

¹MEMBER, IEEE, Department ot Electrical and Computer Engineering, University of Wisconsin, Madison, WI 53706.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|April 14, 2012

Summary

This summary is machine-generated.

This paper reviews industrial automated visual inspection technologies. It covers system components, design, available tools, and detailed applications like printed circuit board inspection.

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Area of Science:

Engineering
Computer Science
Manufacturing Technology

Background:

Automated visual inspection (AVI) is crucial for industrial quality control.
The field encompasses diverse technologies and applications.
A comprehensive survey of existing literature is needed.

Purpose of the Study:

To systematically review and organize publications on industrial AVI.
To provide an overview of AVI rationales, components, and design.
To detail specific applications and commercially available systems.

Main Methods:

Literature survey of publications, reports, and articles on AVI.
Categorization of references by content: overview, rationales, components, systems, applications.
In-depth discussion of inspection methodologies for key applications.

Main Results:

References organized into logical sections for clarity.
Detailed examination of printed circuit board, photomask, and integrated circuit chip inspection.
Inclusion of a bibliography for other applications and annotated references for commercial tools.

Conclusions:

The paper provides a structured overview of the AVI landscape.
It serves as a valuable resource for researchers and practitioners in industrial inspection.
Highlights key applications and available commercial solutions in AVI.