Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building
US12056611B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Dec 6, 2022 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Dec 6, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.