Method, device, and system for adaptive training of machine learning models via detected in-field contextual incident timeline entry and associated located and retrieved digital audio and/or video imaging
US11417128B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 22, 2017 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Dec 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Receive first context information (FCI) including entered in-field incident timeline information values from an in-field incident timeline application and a time associated with an entry of the FCI values. Access a mapping that maps in-field incident timeline information values to events having a pre-determined threshold confidence of occurring and identify an event associated with the received FCI. Determine a location associated with the entry of the FCI and a time period associated with the entry of the FCI. Access a camera location database and identify cameras that have a field of view including the location during the time period. Retrieve audio and/or video streams captured by the cameras during the time period. And provide the audio and/or video streams to machine learning training modules corresponding to machine learning models for detecting the event in and/or video streams for further training of the machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.