Machine learning systems and methods for translating captured input images into an interactive demonstration presentation for an envisioned software product
US11526655B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 28, 2020 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Feb 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning systems and associated methods are provided. A processor comprising at least one neural network can process a captured input image to translate the captured input image into an interactive demonstration presentation for an envisioned software product. The processing can include: automatically recognizing features within the captured input image; extracting the recognized features from the captured input image at the machine learning processor; processing each of the extracted features to determine a corresponding element in a library trained via a machine learning algorithm; and automatically replacing the extracted features from the captured input image with the one or more corresponding files or components to transform the captured input image into the interactive demonstration presentation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.