Systems and methods for identifying entities directly from imagery
US10007867B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2016 |
| Grant date | Jun 26, 2018 |
| Priority date | — |
| Expiry date | Aug 11, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/63
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods of identifying entities are disclosed. In particular, one or more images that depict an entity can be identified from a plurality of images. One or more candidate entity profiles can be determined from an entity directory based at least in part on the one or more images that depict the entity. The one or more images that depict the entity and the one or more candidate entity profiles can be provided as input to a machine learning model. One or more outputs of the machine learning model can be generated. Each output can include a match score associated with an image that depicts the entity and at least one candidate entity profile. The entity directory can be updated based at least in part on the one or more generated outputs of the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.