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:
May. 21, 2024

Filed:

May. 03, 2023
Applicant:

State Farm Mutual Automobile Insurance Company, Bloomington, IL (US);

Inventors:

Nicholas Carmelo Marotta, Scottsdale, AZ (US);

Jd Johnson Willingham, Phoenix, AZ (US);

Stacee Madsen, Mesa, AZ (US);

Jared Wheet, Mesa, AZ (US);

Laura A. Uphoff, Normal, IL (US);

Paul Bates, Mesa, AZ (US);

Austin Rowley, Mesa, AZ (US);

Michael Scott Harrison, Chandler, AZ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 40/08 (2012.01); G01S 7/48 (2006.01); G01S 17/89 (2020.01); G01S 17/894 (2020.01); G05B 15/02 (2006.01); G06Q 50/16 (2012.01); G06V 20/10 (2022.01); G06V 20/17 (2022.01); G06V 20/20 (2022.01); B64C 39/02 (2023.01); B64U 101/30 (2023.01); G06Q 10/087 (2023.01); H04L 67/12 (2022.01);
U.S. Cl.
CPC ...
G06Q 40/08 (2013.01); G01S 7/4802 (2013.01); G01S 17/89 (2013.01); G01S 17/894 (2020.01); G05B 15/02 (2013.01); G06Q 50/16 (2013.01); G06V 20/17 (2022.01); G06V 20/176 (2022.01); G06V 20/20 (2022.01); B64C 39/024 (2013.01); B64U 2101/30 (2023.01); G06Q 10/087 (2013.01); H04L 67/12 (2013.01);
Abstract

The following relates generally to light detection and ranging (LIDAR). In some embodiments, a homeowners insurance quote is produced based upon data received from a LIDAR camera. For instance, in some embodiments, a system: receives light detection and ranging (LIDAR) data generated from one or more LIDAR cameras; analyzes the LIDAR data to determine or identify one or more features or characteristics of a home; and generates an electronic homeowners insurance quote based upon, at least in part, the one or more features or characteristics of the home determined or identified from the LIDAR data.


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