Specifications for the development of a 3D visual inspection/diagnosis system for damaged VLSI boards: VLSI reverse engineering

Ali Moghaddamzadeh; Nikolaos G. Bourbakis

doi:10.1117/12.144801

6 May 1993 Specifications for the development of a 3D visual inspection/diagnosis system for damaged VLSI boards: VLSI reverse engineering

Ali Moghaddamzadeh, Nikolaos G. Bourbakis

Author Affiliations +

Proceedings Volume 1907, Machine Vision Applications in Industrial Inspection; (1993) https://doi.org/10.1117/12.144801
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

The automatic, real-time visual acquisition and inspection of VLSI boards requires the use of machine vision and artificial intelligence methodologies in a new "frame" for the achievement of better results regarding efficiency, quality and automated service. Thus, the development of a knowledge base for automated inspection and acquisition of VLSI boards becomes an important issue with today's needs from the electronic marketing. Inthis paper we describe the visual inspection of damaged VLSI boards and discuss the specifications for the development of a knowledge base associated with the visual inspection.

Citation Download Citation

Ali Moghaddamzadeh and Nikolaos G. Bourbakis "Specifications for the development of a 3D visual inspection/diagnosis system for damaged VLSI boards: VLSI reverse engineering", Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); https://doi.org/10.1117/12.144801

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available