Populating catalog data with item properties based on segmentation and classification models
US10810543B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2018 |
| Grant date | Oct 20, 2020 |
| Priority date | — |
| Expiry date | Jan 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for populating an inventory catalog includes receiving an image showing an item in the inventory catalog and comprising a plurality of pixels. A machine learned segmentation neural network is retrieved to determine location of pixels in an image that are associated with an image label and the property. The method determines a subset of pixels associated with the item label in the received image and identifies locations of the subset of pixels of the received image, and extracts the subset of pixels from the received image. The method retrieves a machine learned classifier to determine whether an image shows the item label. The method determines, using the machine learned classifier, that the extracted subset of pixels shows the item label. The method updates the inventory catalog for the item to indicate that the item has the property associated with the item label.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.