Combined light and heavy models for image filtering
US11676161B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 22, 2021 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Dec 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/179
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for demographic determination using image recognition. The method includes analyzing an image with a pre-trained lightweight neural network model, where the lightweight neural network model generates a confidence value, and comparing the confidence value to a threshold value to determine if the pre-trained lightweight neural network model is sufficiently accurate. The method further includes analyzing the image with a pre-trained heavyweight neural network model for the confidence value below the threshold value, wherein the pre-trained heavyweight neural network model has above about one million trainable parameters and the pre-trained lightweight neural network model has a number of trainable parameters below one tenth the heavyweight model, and displaying demographic data to a user on a user interface, wherein the user modifies store inventory based on the demographic data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.