Taylor M Brown

US Patent:

20230100515, Mar 30, 2023

Filed:

Dec 6, 2022

Appl. No.:

18/075448

Inventors:

- Irvine CA, US
David Frederick SMITH - Oakland CA, US
Taylor Bryant Brown - Euless TX, US

Assignee:

Corelogic Solutions, LLC - Irvine CA

International Classification:

G01C 15/00
G01C 5/00
G06N 3/04
G06V 20/20

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.

US Patent:

20200348132, Nov 5, 2020

Filed:

May 1, 2020

Appl. No.:

16/864342

Inventors:

- Irvine CA, US
David Frederick SMITH - Oakland CA, US
Taylor Bryant Brown - Euless TX, US

Assignee:

CORELOGIC SOLUTIONS, LLC - Irvine CA

International Classification:

G01C 15/00
G06N 3/04
G06K 9/00
G01C 5/00

Abstract:

A system, apparatus, computer program product, and method automatically, accurately, and reliably detect floor elevations of improvements (e.g., houses) on parcels of land without human inspection of the property. Fusing aspects of image processing, artificial intelligence, and information on adjacent grade points along the footprint of a specific property, the present computer-based system identifies a first floor height (FFH), and first floor elevation (FFE) of the improvement with respect to the terrain or surface of the parcel of land on which the improvement is located. In turn, by knowing the FFH of the improvement on the parcel, it is possible to improve on conventional methods for estimating flood risk to a property without requiring a personal inspection of the parcel by a human.