Dynamic, contextualized AI models
US12136255B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 18, 2022 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Jan 13, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/34
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for employing a semi-supervised learning approach to improve accuracy of a small model on an edge device is presented. The method includes collecting a plurality of frames from a plurality of video streams generated from a plurality of cameras, each camera associated with a respective small model, each small model deployed in the edge device, sampling the plurality of frames to define sampled frames, performing inference to the sampled frames by using a big model, the big model shared by all of the plurality of cameras and deployed in a cloud or cloud edge, using the big model to generate labels for each of the sampled frames to generate training data, and training each of the small models with the training data to generate updated small models on the edge device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.