Automatic building detection and classification using elevator/escalator stairs modeling—building classification
US11521023B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Jan 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, a method and a computer program product are provided for determining building type of one or more buildings in a geographic region, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain a plurality of mobility features associated with the one or more buildings. The processor may be configured to determine, using a trained machine learning model, one or more transport modes for the one or more buildings, based on the plurality of mobility features. The processor may be further configured to determine, using the trained machine learning model, the building type of the one or more buildings based on the determined one or more transport modes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.