Multi-agent training of a color identification neural network
US10346710B2 · kind B2 · utility
2Cited by
9References
12Claims
0Family size
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Key dates
| Filing date | Sep 29, 2016 |
| Grant date | Jul 9, 2019 |
| Priority date | — |
| Expiry date | Apr 15, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the systems and methods described herein are directed towards training an artificial neural network to identify color values of a sample by providing image data obtained through multiple image capture devices under a plurality of lighting conditions. The present invention also includes using a pre-trained neural network to identify the color values of a sample having an unknown color value by capturing an image of an unknown color sample and known color reference samples under any illumination or hardware configuration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.