Data collection and retraining in edge video devices
US12111886B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 1, 2021 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Jun 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture may identify objects according to a confidence threshold of a model. The confidence threshold may be monitored over time, and the model may be updated if the confidence threshold drops below an acceptable level. The data for retraining is ideally generated substantially internal to the camera. A filter is generated to process the entire field data set stored on the camera to create a field data subset also stored on the camera. The field data subset may be run through the model to generate cases that may be used in further monitoring, training, and updating of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.