KIMS is an acronym for a Knowledge-Based Image Management System developed in the Robotics and Artificial Intelligence Laboratory (RAIL) at North Carolina A&T State University. KIMS model architecture consists of rules which are developed through statistical experimentation with thresholding and quality control chart algorithms. The control architecture of KIMS is driven by the pattern of these rules. KIMS can analyze features of an X-ray image of a manufactured product such as printed circuit board in a real-time mode and make decisions on whether there are defect symptoms in the product. In this paper we present the current performance of KIMS in product inspection decision.
|Number of pages||5|
|Journal||Computers and Industrial Engineering|
|Publication status||Published - 1990|
All Science Journal Classification (ASJC) codes
- Computer Science(all)