Updating machine learning systems using previous output data
US11887046B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2020 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Mar 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A system may use sensor data from a facility to generate tentative values associated with an event, such as the identification of an item removed from a shelf of the facility. A confidence value associated with each of the tentative values may be less than a confidence threshold. In response, inquiry data seeking confirmation of a tentative value from an associate is generated and sent to one or more associates in the facility. Responses from the associates are collected to determine a selection of one of the tentative values. The selected tentative value is designated as output data for the system. Thereafter, the output data and the original sensor data are designated as training data, which can then be used to train or update machine learning systems. Subsequent use of the updated machine learning systems can yield more accurate results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.