IP Library Granted Patent US 12,423,972
Granted Patent B2
US 12,423,972 · App. 17/815,481 · Granted Sep 23, 2025

Insurance inventory and claim generation

Inventors: Rebecca A. Little (Mesa, AZ); Christopher Robert Galante (Mesa, AZ)
Assignee: State Farm Mutual Automobile Insurance Company
G06V20/20G02B27/0093G02B27/0172G06F3/013G06F3/017G06Q40/08
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,423,972
App. No.
17/815,481
Granted
Sep 23, 2025
Kind
B2
Abstract

Techniques include receiving image data representing an environment. Based at least in part on the image data, an identity of at least one object disposed within the environment is determined. Based at least in part on the image data, an image is displayed on an electronic device. The image includes a three-dimensional representation of at least a portion of the environment, a three-dimensional representation of the at least one object, and a three-dimensional representation of an assistant providing a request related to the at least one object. A first input is received from a user of the electronic device and based at least in part on the request. An object list is generated based at least in part on the first input and the identity of the at least one object, the list including the at least one object.

Claims (87)

1. A method, comprising:

receiving, by a mobile computing device comprising one or more processors, live video data representing a physical environment;

receiving, by the mobile computing device, previous image data representing the physical environment at a previous time;

identifying, by the mobile computing device and based on the live video data, a first physical object associated with a homeowners or property insurance policy;

based on identifying the first physical object associated with the homeowners or property insurance policy, retrieving, from a database, metadata associated with the first physical object;

determining, by the mobile computing device and based on the live video data, the previous image data, the homeowners or property insurance policy, and the retrieved metadata, a requested action to be performed on the first physical object;

providing, by the mobile computing device, a real-time augmented or mixed reality representation of the physical environment, including:

a virtual assistant identifying the first physical object in the physical environment; and

rendering instructions for a user to perform the requested action within the representation at a location proximate to the first physical object or the virtual assistant;

determining, based on the live video data, that the user has performed the requested action on the first physical object;

based on determining that the user has performed the requested action, capturing new image data of a surface of the first physical object exposed by the performing of the requested action; and

generating or updating, by the mobile computing device and based on the new image data, an insurance claim of the homeowners or property insurance policy pertaining to the first physical object.

2. The method of claim 1 , further comprising:

receiving a first input comprising at least one of:

receiving and processing a user utterance; or

receiving and interpreting a user body gesture using a gesture interpreter,

wherein the generating or updating the insurance claim of the homeowners or property insurance policy is further based at least in part on the first input.

3. The method of claim 1 , wherein identifying the first physical object associated with the homeowners or property insurance policy further comprises:

receiving pupil data representative of a gaze direction of a user relative to the physical environment;

identifying the first physical object based at least in part on the gaze direction; and

verifying that the first physical object is associated with the homeowners or property insurance policy.

4. The method of claim 1 , wherein the previous image data representing the physical environment at the previous time comprises point cloud data representing the physical environment.

5. The method of claim 1 , wherein providing the real-time augmented or mixed reality representation of the physical environment comprises:

determining a question relating to the first physical object, based at least in part on the live video data and a requirement of the insurance claim; and

presenting the question within the real-time augmented or mixed reality representation of the physical environment, while the virtual assistant is identifying the first physical object in the physical environment.

6. The method of claim 1 , wherein identifying the first physical object comprises:

providing the live video data to a trained image recognition machine learning engine; and

identifying the first physical object based at least in part on an output of the trained image recognition machine learning engine.

7. The method of claim 1 , wherein identifying the first physical object comprises:

determining an object identifier associated with the first physical object; and

determining the request related to the first physical object, based at least in part on the object identifier.

8. The method of claim 1 , further comprising:

automatically determining damage to the first physical object, based at least in part comparing the previous image data and the live video data; and

determining the request related to the first physical object, based at least in part on the determined damage.

9. The method of claim 1 , wherein determining the request related to the first physical object comprises:

determining a previous position of an object feature of the first physical object, based on the previous image data; and

comparing the previous position to a current position of the object feature of the first physical object, based on the current image data.

10. The method of claim 1 , wherein the request comprises a request that a user perform an action on the first physical object.

11. The method of claim 10 , further comprising:

determining that the requested action has been performed on the first physical object; and

obtaining updated current image data, based on the requested action having been performed, the updated current image data including an additional surface of the first physical object.

12. The method of claim 1 , wherein:

retrieving the metadata comprises determining a value of the first physical object; and

providing the representation comprises rendering the value of the first physical object within the representation.

13. The method of claim 1 , wherein:

retrieving the metadata comprises identifying an insurance policy covering the first physical object; and

determining the request related to the first physical object is based on the insurance policy.

14. A system, comprising:

one or more processors; and

memory coupled to the one or more processors, the memory storing instructions executable by the one or more processors to perform operations including:

receiving live video data representing a physical environment;

receiving previous image data representing the physical environment at a previous time;

identifying, based on the live video data, a first physical object associated with a homeowners or property insurance policy;

based on identifying the first physical object associated with the homeowners or property insurance policy, retrieving, from a database, metadata associated with the first physical object;

determining, based on the live video data, the previous image data, the homeowners or property insurance policy, and the retrieved metadata, a requested action to be performed on the first physical object;

providing a real-time augmented or mixed reality representation of the physical environment, including:

a virtual assistant identifying the first physical object in the physical environment; and

rendering instructions for a user to perform the requested action within the representation at a location proximate to the first physical object or the virtual assistant;

determining, based on the live video data, that the user has performed the requested action on the first physical object;

based on determining that the user has performed the requested action, capturing new image data of a surface of the first physical object exposed by the performing of the requested action; and

generating or updating, based on the new image data first input, an insurance claim of the homeowners or property insurance policy pertaining to the first physical object.

15. The system of claim 14 , the operations further comprising:

generating, based at least in part on the previous image data, an object list, the object list including an indication of the first physical object.

16. The system of claim 14 , the operations further comprising:

identifying, based at least in part on the live video data, a second physical object, wherein the real-time augmented or mixed reality representation of the physical environment includes the second physical object with the virtual assistant providing a second request related to the second physical object; and

receiving, responsive to the second request from the virtual assistant, a second input, wherein the insurance claim includes an indication of the second physical object based at least in part on the second input.

17. The system of claim 14 , wherein the virtual assistant is in a shape of a human.

18. The system of claim 14 , the operations further comprising:

receiving a first input comprising at least one of:

receiving and processing a user utterance; or

receiving and interpreting a user body gesture using a gesture interpreter,

wherein the generating or updating the insurance claim of the homeowners or property insurance policy is further based at least in part on the first input.

19. A system for generating an insurance claim, comprising:

a means for receiving live video data representing a physical environment;

a means for receiving previous image data representing the physical environment at a previous time;

a means for identifying, based on the live video data, a first physical object associated with a homeowners or property insurance policy;

a means for retrieving, from a database and based on identifying the first physical object associated with the homeowners or property insurance policy, metadata associated with the first physical object;

a means for determining, based on the live video data, the previous image data, the homeowners or property insurance policy, and the retrieved metadata, a requested action to be performed on the first physical object;

a means for providing a real-time augmented or mixed reality representation of the physical environment, including:

a virtual assistant identifying the first physical object in the physical environment; and

rendering instructions for a user to perform the requested action within the representation at a location proximate to the first physical object or the virtual assistant;

a means for determining, based on the live video data, that the user has performed the requested action on the first physical object;

a means for capturing, based on determining that the user has performed the requested action, new image data of a surface of the first physical object exposed by the performing of the requested action; and

a means for generating or updating, based on the new image data, an insurance claim of the homeowners or property insurance policy pertaining to the first physical object.

20. The system of claim 19 for generating an insurance claim, further comprising:

a means for identifying, based at least in part on the live video data, a second physical object, wherein the real-time augmented or mixed reality representation of the physical environment includes the second object with the virtual assistant providing a second request related to the second physical object; and

a means for receiving, responsive to the second request from the virtual assistant, a second input, wherein the insurance claim includes an indication of the second physical object based at least in part on the second input.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2022
From: LITTLE, REBECCA A.; GALANTE, CHRISTOPHER ROBERT
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 060646/0714 →
Continuity (2)
Continuation 16890865 · Jun 2, 2020
Related Publication 20220366689A1 · Nov 17, 2022
References Cited (122)
US 8624924B2 · Dobbins et al. · 2014 [cited by applicant]
US 9057746B1 · Houlette et al. · 2015 [cited by applicant]
US 9122321B2 · Perez et al. · 2015 [cited by applicant]
US 9152737B1 · Micali et al. · 2015 [cited by applicant]
US 9262789B1 · Tofte · 2016 [cited by applicant]
US 9342610B2 · Liu et al. · 2016 [cited by applicant]
US 9443195B2 · Micali et al. · 2016 [cited by applicant]
US 9609003B1 · Chmielewski et al. · 2017 [cited by applicant]
US 9691189B1 · Creath · 2017 [cited by applicant]
US 9699529B1 · Petri et al. · 2017 [cited by applicant]
US 9739813B2 · Houlette et al. · 2017 [cited by applicant]
US 9798979B2 · Fadell et al. · 2017 [cited by applicant]
US 9800958B1 · Petri et al. · 2017 [cited by applicant]
US 9846915B2 · Howe et al. · 2017 [cited by applicant]
US 9886953B2 · Lemay et al. · 2018 [cited by applicant]
US 9942630B1 · Petri et al. · 2018 [cited by applicant]
US 10032225B1 · Fox et al. · 2018 [cited by applicant]
US 10102584B1 · Devereaux et al. · 2018 [cited by applicant]
US 10137984B1 · Flick · 2018 [cited by applicant]
US 10142394B2 · Chmielewski et al. · 2018 [cited by applicant]
US 10198771B1 · Madigan et al. · 2019 [cited by applicant]
US 10296978B1 · Corder et al. · 2019 [cited by applicant]
US 10311302B2 · Kottenstette et al. · 2019 [cited by applicant]
US 10332059B2 · Matsuoka · 2019 [cited by applicant]
US 10366288B1 · Kottenstette et al. · 2019 [cited by applicant]
US 10469282B1 · Konrardy et al. · 2019 [cited by applicant]
US 10586177B1 · Choueiter et al. · 2020 [cited by applicant]
US 10643072B2 · Kottenstette et al. · 2020 [cited by applicant]
US 10664922B1 · Madigan et al. · 2020 [cited by applicant]
US 10699346B1 · Corder et al. · 2020 [cited by applicant]
US 10699348B1 · Devereaux et al. · 2020 [cited by applicant]
US 10719966B1 · Davis et al. · 2020 [cited by applicant]
US 10735829B2 · Petri et al. · 2020 [cited by applicant]
US 10740691B2 · Choueiter et al. · 2020 [cited by applicant]
US 10748216B2 · Smith, Jr. · 2020 [cited by applicant]
US 10750252B2 · Petri et al. · 2020 [cited by applicant]
US 10776883B2 · Labrie et al. · 2020 [cited by applicant]
US 10796557B2 · Sundermeyer et al. · 2020 [cited by applicant]
US 10802477B1 · Konrardy et al. · 2020 [cited by applicant]
US 10803532B1 · Brandmaier et al. · 2020 [cited by applicant]
US 10804700B2 · Cohen et al. · 2020 [cited by applicant]
US 10818105B1 · Konrardy et al. · 2020 [cited by applicant]
US 10907844B2 · Ribbich et al. · 2021 [cited by applicant]
US 11003334B1 · Conway et al. · 2021 [cited by applicant]
US 11010129B1 · Rakshit · 2021 [cited by applicant]
US 11023961B1 · Gore et al. · 2021 [cited by applicant]
US 11087550B2 · Lyren · 2021 [cited by applicant]
US 11100594B1 · West et al. · 2021 [cited by applicant]
US 11151378B2 · Kottenstette et al. · 2021 [cited by applicant]
US 11164257B1 · Devereaux et al. · 2021 [cited by applicant]
US 11210552B2 · Kossyk et al. · 2021 [cited by applicant]
US 11222426B2 · Richter et al. · 2022 [cited by applicant]
US 11232150B2 · Vianello et al. · 2022 [cited by applicant]
US 11232873B1 · Aspro et al. · 2022 [cited by applicant]
US 11277465B2 · Chmielewski et al. · 2022 [cited by applicant]
US 11314214B2 · Rexach et al. · 2022 [cited by applicant]
US 11348193B1 · Konrardy et al. · 2022 [cited by applicant]
US 11361428B1 · Chen et al. · 2022 [cited by applicant]
US 11367265B2 · Vianello et al. · 2022 [cited by applicant]
US 11398042B2 · Zhao · 2022 [cited by applicant]
US 11417212B1 · Farooqui et al. · 2022 [cited by applicant]
US 11475626B2 · Holzer et al. · 2022 [cited by applicant]
US 11882303B2 · Hur · 2024 [cited by applicant]
US 20030046689A1 · Gaos · 2003 [cited by applicant]
US 20090213114A1 · Dobbins et al. · 2009 [cited by applicant]
US 20090265193A1 · Collins et al. · 2009 [cited by applicant]
US 20090326989A1 · Schmitt et al. · 2009 [cited by applicant]
US 20120154557A1 · Perez et al. · 2012 [cited by applicant]
US 20130050258A1 · Liu et al. · 2013 [cited by applicant]
US 20140052480A1 · Bell et al. · 2014 [cited by applicant]
US 20140266669A1 · Fadell et al. · 2014 [cited by applicant]
US 20150061859A1 · Matsuoka et al. · 2015 [cited by applicant]
US 20150301596A1 · Qian et al. · 2015 [cited by applicant]
US 20150317739A1 · Lawlor · 2015 [cited by applicant]
US 20150347910A1 · Fadell et al. · 2015 [cited by applicant]
US 20160110816A1 · Cardin · 2016 [cited by applicant]
US 20180047395A1 · Sommers et al. · 2018 [cited by applicant]
US 20180256962A1 · Kudirka · 2018 [cited by applicant]
US 20180260793A1 · Li et al. · 2018 [cited by applicant]
US 20180356523A1 · England et al. · 2018 [cited by applicant]
US 20190050133A1 · Grossman · 2019 [cited by applicant]
US 20190139317A1 · Bilbrey et al. · 2019 [cited by applicant]
US 20190188788A1 · Baker, IV · 2019 [cited by examiner]
US 20190251520A1 · Bentley et al. · 2019 [cited by applicant]
US 20200076947A1 · Deole · 2020 [cited by applicant]
US 20200111264A1 · Kuruvilla et al. · 2020 [cited by applicant]
US 20200219198A1 · Pearce · 2020 [cited by applicant]
US 20210035153A1 · Cohen et al. · 2021 [cited by applicant]
US 20210279811A1 · Waltman et al. · 2021 [cited by applicant]
US 20210312789A1 · Linn · 2021 [cited by applicant]
US 20210358188A1 · Lebaredian · 2021 [cited by applicant]
US 20220075504A1 · Little et al. · 2022 [cited by applicant]
US 20220101275A1 · Aspro et al. · 2022 [cited by applicant]
US 20250069391A1 · Little · 2025 [cited by applicant]
CN 111626536 · 2020 [cited by applicant]
CN 113138558 · 2021 [cited by applicant]
JP 2003157357 · 2003 [cited by applicant]
KR 20150129845 · 2015 [cited by applicant]
WO WO2014159131 · 2014 [cited by applicant]
WO 2015192117A1 · 2015 [cited by examiner]
WO WO2016081511 · 2016 [cited by applicant]
WO WO2018036113A1 · 2018 [cited by applicant]
WO WO2021087185 · 2021 [cited by applicant]
Friedman, E. (Feb. 2019). Using AR/VR for assurance in insurance. BrainXChange. Retrieved from https://brainxchange.com/using-ar-vr-for-assurance-in-insurance/, 6 pages. [cited by applicant]
Office Action for U.S. Appl. No. 16/890,865, mailed on Apr. 8, 2021, Little, “Insurance Inventory and Claim Generation ”, 16 Pages. [cited by applicant]
Office Action for U.S. Appl. No. 16/890,883, mailed on Nov. 17, 2021, Little, “Interactive Insurance Inventory and Claim Generation”, 19 pages. [cited by applicant]
Office Action for U.S. Appl. No. 16/890,865, mailed on Dec. 22, 2021, Little, “Insurance Inventory and Claim Generation ”, 21 Pages. [cited by applicant]
Office action for U.S. Appl. No. 16/890,883, mailed on Mar. 25, 2021, Little, “Interactive Insurance Inventory and Claim Generation”, 15 pages. [cited by applicant]
Office Action for U.S. Appl. No. 16/890,883, mailed on Jul. 9, 2021, Little, “Interactive Insurance Inventory and Claim Generation”, 22 pages. [cited by applicant]
Office Action for U.S. Appl. No. 16/890,865, mailed on Sep. 1, 2021, Little, “Insurance Inventory and Claim Generation ”, 17 Pages. [cited by applicant]
Wang, I., Smith, J., & Ruiz, J. (May 2019). Exploring virtual agents for augmented reality. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, Paper No. 281. doi: 10.1145/3290605.3300511, 12 p… [cited by applicant]
Kiang, Y. (Mar. 2016). An augmented reality interface for supporting remote insurance claim assessment. Research Repository, University of Canterbury. Retrieved from https://ir.canterbury.ac.nz/handle/10092/12296, 73 pa… [cited by applicant]
Office Action for U.S. Appl. No. 17/808,434, mailed on Feb. 23, 2023, Little, “Interactive Insurance Inventory and Claim Generation”, 32 Pages. [cited by applicant]
Office Action for U.S. Appl. No. 17/469,946, mailed on Nov. 30, 2022, Little, “Vehicular Incident Reenactment Using Three-Dimensional (3D) Representations”, 13 Pages. [cited by applicant]
Office Action for U.S. Appl. No. 17/469,946, mailed on Apr. 11, 2023, Little, “Vehicular Incident Reenactment Using Three-Dimensional (3D) Representations”, 15 pages. [cited by applicant]
Office Action for U.S. Appl. No. 17/808,434, mailed on Oct. 30, 2023, Rebecca A. Little, “Interactive Insurance Inventory and Claim Generation”, 35 pages. [cited by applicant]
Final Office Action issued Feb. 15, 2024 for related U.S. Appl. No. 17/808,434 entitled Interactive Insurance Inventory and Claim Generation (38 pages). [cited by applicant]
Final Office Action issued Feb. 27, 2024 for related U.S. Appl. No. 17/335,690 entitled “Insurance Claim Generation,” (16 pages). [cited by applicant]
Office Action for U.S. Appl. No. 17/335,690, mailed on Aug. 23, 2023, Rebecca A. Little, “Insurance Claim Generation”, 17 pages. [cited by applicant]
Office Action for U.S. Appl. No. 18/496,042, Dated Jul. 19, 2024, 22 pages. [cited by applicant]
Office Action for U.S. Appl. No. 17/335,690, Dated Jul. 26, 2024, 19 pages. [cited by applicant]
Olffice Action for U.S. Appl. No. 17/335,690, Dated Jan. 28, 2025, Little, Insurance Claim Generation , 18 pages. [cited by applicant]