Learning systems and methods
US12412228B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Dec 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements—some involving designing classifiers so as to combat classifier copying—are also detailed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.