Convolutional computing using multilayered analysis engine
US11657288B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2020 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Jun 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed embodiments provide for deep convolutional neural network computing. The convolutional computing is accomplished using a multilayered analysis engine. The multilayered analysis engine includes a deep learning network using a convolutional neural network (CNN). The multilayered analysis engine is used to analyze multiple images in a supervised or unsupervised learning process. Multiple images are provided to the multilayered analysis engine, and the multilayered analysis engine is trained with those images. A subject image is then evaluated by the multilayered analysis engine. The evaluation is accomplished by analyzing pixels within the subject image to identify a facial portion and identifying a facial expression based on the facial portion. The results of the evaluation are output. The multilayered analysis engine is retrained using a second plurality of images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.