Automatic building detection and classification using elevator/escalator stairs modeling—smart cities
US11343636B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2020 |
| Grant date | May 24, 2022 |
| Priority date | — |
| Expiry date | Jun 24, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, a method and a computer program product are provided to determine population distribution of users associated with 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 mobility features associated with the one or more buildings in the geographic region. 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 mobility features. The processor may be further configured to determine, using the trained machine learning model, the population distribution of the users associated with the one or more buildings in the geographic region at a fixed epoch based on the determined one or more transport modes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.