Title :
A Rule-Based System for Verifying Engineering Specifications in Industrial Visual Inspection Applications
Author :
Petkovic, Dragutin ; Hinkle, Eric B.
Author_Institution :
IBM Almaden Research Center, Department of Computer Science, San Jose, CA 95120.
fDate :
3/1/1987 12:00:00 AM
Abstract :
An important step in automatic visual inspection is verifying whether a part is good or bad, by comparing a list of inspection specifications to a list of extracted and measured defects. Our goal is to provide a general, flexible, and efficient solution to this problem. We present a solution following a rule-based approach for the case of specs for visual inspection of disk heads. However, due to the generality of our approach (within the realm of visual inspection), it is easily extendible to verification of specs in other visual inspection applications. While flexibility comes naturally with the rule-based approach, efficiency is still an issue. Therefore, we implemented two techniques to increase the efficiency of our system: one at the rule level, and one at the rule-matching level. We describe our implementation and show experimental results from applying our approach in an experimental system for automatic visual disk head inspection.
Keywords :
Automatic control; Design engineering; Inspection; Knowledge based systems; Knowledge engineering; Machine vision; Particle measurements; Position measurement; Size measurement; Systems engineering and theory; Disk head inspection; efficiency; inspection specifications; rule-based approach; visual inspection;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1987.4767903