Utilizing a machine learning model to automatically visually validate a user interface for multiple platforms
US10275867B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2018 |
| Grant date | Apr 30, 2019 |
| Priority date | — |
| Expiry date | Jun 21, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device receives user interface information associated with a user interface to be provided for a particular platform, and receives design information for a design of the user interface to be provided for the particular platform. The device receives a request to visually compare the user interface information and the design information, and utilizes, based on the request, a trained machine learning model to visually compare the user interface information and the design information. The device generates information, indicating defects in the user interface information, based on utilizing the trained machine learning model to visually compare the user interface information and the design information, where the defects include user interface information that does not visually match the design information. The device provides the information indicating the defects in the user interface information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.