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:
Nov. 26, 2024

Filed:

Mar. 16, 2022
Applicant:

Allstate Insurance Company, Northbrook, IL (US);

Inventors:

Mark Slusar, Northbrook, IL (US);

Nilesh Malpekar, Northbrook, IL (US);

Anna Reifman, Northbrook, IL (US);

Gabriel Federico Carballo Nunez, Northbrook, IL (US);

Meg G. Walters, Northbrook, IL (US);

Assignee:

Allstate Insurance Company, Northbrook, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01W 1/10 (2006.01); G01S 19/14 (2010.01); G05B 13/02 (2006.01); G06F 30/27 (2020.01); G06N 3/02 (2006.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G01W 1/10 (2013.01); G01S 19/14 (2013.01); G06F 30/27 (2020.01); G06N 3/08 (2013.01); G01W 2203/00 (2013.01); G05B 13/02 (2013.01); G05B 13/027 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for deployment of a protective component, generation of a customized design for the protective component, or combinations thereof are associated with a structure comprising a portion, a neural network model, processor(s), and memory storing machine readable instructions. When executed for deployment, the neural network model predicts the likelihood of the occurrence of the natural event in the geographic area within the time frame as high as defined by when the likelihood is above a threshold, and deploys the protective component for protecting the portion of the structure when the likelihood is high. For customized design, the neural network model is used to access dimension and weather data associated with a structure and weather data to generate the customized design of the protective component for the structure.


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