Neural network solder paste inspection system
US5751910A · kind A · utility
35Cited by
35References
15Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | May 22, 1995 |
| Grant date | May 12, 1998 |
| Priority date | — |
| Expiry date | May 22, 2015 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/912
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A solder paste brick inspection and physical quality scoring system 10 employs a neural network 70 trained with a fuzzified output vector. An image of solder paste bricks 64 on a printed circuit board 12 is acquired by a CCD camera 30. Values of a predetermined set of brick metrics are extracted from the image by a computer 28 and used as a crisp input vector to trained neural network 70. A defuzzifier 76 converts a fuzzy output vector from neural network 70 into a crisp quality score output which can be used for monitoring and process control.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.