Machine-learning-assisted self-improving object-identification system and method
US11361536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2019 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Dec 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of identifying and tracking objects comprises registering an identity of a person who visits an area designated for holding objects, capturing an image of the area designated for holding objects, submitting a version of the image to a deep neural network trained to detect and recognize objects in images like those objects held in the designated area, detecting an object in the version of the image, associating the registered identity of the person with the detected object, retraining the deep neural network using the version of the image if the deep neural network is unable to recognize the detected object, and tracking a location of the detected object while the detected object is in the area designated for holding objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.