Automatic building detection and classification using elevator/escalator stairs modeling
US11128982B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2020 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Jun 24, 2040 |
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 one or more transport modes for 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 sensor data associated with the one or more buildings for time duration. The processor may be configured to determine mobility features associated with the one or more buildings, based on the sensor data. The processor may be further configured to determine, using a trained machine learning model, the one or more transport modes for the one or more buildings, based on the mobility features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.