Abstract
The authors have developed a novel image sensor for continuous conditioned monitoring of high-precision tolerances of a complex automotive product. A novel mechanooptical arrangement has been designed and validated to capture the images/silhouettes of the components as input into a neural network designed on approximate reasoning architecture. The design is extensible to handle a large number of rules, and the speed of inference is almost independent of the number of rules.
Original language | English |
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Pages (from-to) | 144-150 |
Number of pages | 7 |
Journal | IEEE/ASME Transactions on Mechatronics |
Volume | 2 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Dec 1997 |