The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 03, 2024

Filed:

Oct. 05, 2023
Applicant:

The Travelers Indemnity Company, Hartford, CT (US);

Inventors:

Hoa Ton-That, Glastonbury, CT (US);

James Dykstra, Manchester, CT (US);

John Han, Glastonbury, CT (US);

Stefanie M. Walker, Meriden, CT (US);

Joseph Amuso, Stafford, CT (US);

George Lee, North Franklin, CT (US);

Kyle J. Kelsey, Portland, CT (US);

Assignee:

THE TRAVELERS INDEMNITY COMPANY, Hartford, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08B 31/00 (2006.01); A01G 23/00 (2006.01); G06F 16/29 (2019.01); G06F 16/587 (2019.01); G06F 18/25 (2023.01); G06T 7/00 (2017.01); G06T 7/50 (2017.01); G06T 7/73 (2017.01); G06T 17/05 (2011.01); G06V 20/10 (2022.01); G08B 17/00 (2006.01); G08B 17/12 (2006.01);
U.S. Cl.
CPC ...
G08B 31/00 (2013.01); A01G 23/00 (2013.01); G06F 16/29 (2019.01); G06F 16/587 (2019.01); G06F 18/25 (2023.01); G06T 7/0002 (2013.01); G06T 7/50 (2017.01); G06T 7/75 (2017.01); G06T 17/05 (2013.01); G06V 20/176 (2022.01); G06V 20/188 (2022.01); G08B 17/005 (2013.01); G08B 17/12 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/30184 (2013.01); G06T 2207/30188 (2013.01);
Abstract

A method includes accessing a first dataset including aerial imagery data and infrared data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of models is applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building, and a vegetation detection model can be applied to identify one or more areas of vegetation. An estimated distance can be determined between each of the areas of vegetation and the building as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.


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