Systems and methods for product identification using image analysis and trained neural network
US11294952B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2020 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Jul 20, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30124
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are methods, systems, and non-transitory computer-readable medium for analysis of images including wearable items. For example, a method may include obtaining a first set of images, each of the first set of images depicting a product; obtaining a first set of labels associated with the first set of images; training an image segmentation neural network based on the first set of images and the first set of labels; obtaining a second set of images, each of the second set of images depicting a known product; obtaining a second set of labels associated with the second set of images; training an image classification neural network based on the second set of images and the second set of labels; receiving a query image depicting a product that is not yet identified; and performing image segmentation of the query image and identifying the product in the image by performing image analysis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.