IP Library Patent Application 18920846
Patent Application
App. No. 18/920,846

UNMANNED AERIAL VEHICLE (UAV) DATA COLLECTION & CLAIM PRE-GENERATION FOR INSURED APPROVAL

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Quick Facts
Patent No.
US None
App. No.
18/920,846
Filed
Oct 18, 2024
Art Unit
3694
USPC
705/4
Abstract

Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.

Claims (61)

1 - 20 . (canceled)

21 . A computer-implemented method of using drone data to determine damage to an asset, the method comprising:

receiving, by one or more processors, a report of an event including a location of the asset;

directing, by the one or more processors, a drone to the location in response to receiving the report;

receiving, by the one or more processors, the drone data collected by the drone at the location; and

determining, by the one or more processors and based on the drone data, whether the asset is damaged.

22 . The computer-implemented method of claim 21 , wherein the asset is a vehicle and the event comprises at least one of a vehicle collision or vehicle crash.

23 . The computer-implemented method of claim 22 , further comprising:

based at least in part on the drone data, determining, by the one or more processors, that the vehicle is damaged; and

based at least in part on determining that the vehicle is damaged, generating, by the one or more processors, an estimate of at least one of damage to the vehicle or injury to an occupant of the vehicle.

24 . The computer-implemented method of claim 22 , further comprising:

based at least in part on the drone data, determining, by the one or more processors, that the vehicle is damaged; and

based at least in part on determining that the vehicle is damaged, generating, by the one or more processors, an estimated claim for compensation for the damage to the vehicle.

25 . The computer-implemented method of claim 24 , further comprising:

transmitting, by the one or more processors, the estimated claim to a computing device of an owner of the vehicle.

26 . The computer-implemented method of claim 25 , further comprising:

receiving, by the one or more processors and from the computing device of the owner of the vehicle, approval of or modification to the estimated claim from the owner of the vehicle;

generating, by the one or more processors, an approved claim based upon the approval of or the modification to the estimated claim; and

based at least in part on the approved claim, adjusting, by the one or more processors, one or more terms of a contract associated with the vehicle.

27 . The computer-implemented method of claim 21 ,

wherein the asset is one or more of a vehicle, a home, real property, or other property,

wherein the event comprises one or more of a hurricane, a tornado, a thunderstorm, a windstorm, an earthquake, a flood, fire, a theft, or a hailstorm, and

wherein the damage comprises one or more of wind damage, water damage, fire damage, theft damage, hail damage, or earthquake damage.

28 . The computer-implemented method of claim 21 , wherein determining whether the asset is damaged comprises determining whether the damage is caused by the event or another cause.

29 . A non-transitory computer-readable storage medium including computer-readable instructions to be executed by one or more processors of a system for using drone data to determine damage to an asset, the instructions when executed causing the one or more processors to:

receive a report of an event including a location of the asset;

direct a drone to the location in response to receiving the report;

receive the drone data collected by the drone at the location; and

determine, based on the drone data, whether the asset is damaged.

30 . The non-transitory computer-readable storage medium of claim 29 , wherein the asset is a vehicle and the event is at least one of a vehicle collision or vehicle crash.

31 . The non-transitory computer-readable storage medium of claim 29 , the instructions further causing the one or more processors to:

based at least in part on the drone data, determine that the asset is damaged; and

based at least in part on determining that the asset is damaged, generate an estimate of at least one of damage to the asset or injury to a person associated with the asset.

32 . The non-transitory computer-readable storage medium of claim 30 , the instructions further causing the one or more processors to:

based at least in part on the drone data, determine that the vehicle is damaged; and

based at least in part on determining that the vehicle is damaged, generate an estimated claim for compensation for the damage to the vehicle.

33 . The non-transitory computer-readable storage medium of claim 32 , the instructions further causing the one or more processors to:

transmit the estimated claim to a computing device of an owner of the vehicle.

34 . The non-transitory computer-readable storage medium of claim 33 , the instructions further causing the one or more processors to:

receive, from the computing device of the owner of the vehicle, approval of or modification to the estimated claim by the owner of the vehicle;

generate an approved claim based upon the approval of or the modification to the estimated claim; and

based at least in part on the approved claim, adjust one or more terms of a contract associated with the vehicle.

35 . The non-transitory computer-readable storage medium of claim 29 ,

wherein the asset comprises one or more of a vehicle, a home, real property, or other property,

wherein the event comprises one or more of a hurricane, a tornado, a thunderstorm, a windstorm, an earthquake, a flood, fire, a theft, or a hailstorm, and

wherein the damage comprises one or more of wind damage, water damage, fire damage, theft damage, hail damage, or earthquake damage.

36 . The non-transitory computer-readable storage medium of claim 29 , wherein determining whether the asset is damaged comprises determining whether the damage is caused by the event or another cause.

37 . A computer system for using drone data to determine damage to an asset, the computer system comprising:

one or more processors; and

a memory having instructions executable by the one or more processors, wherein the instructions, when executed, cause the one or more processors to:

receive a report of an event including a location of the asset;

direct a drone to the location in response to receiving the report;

receive the drone data collected by the drone at the location; and

determine, based on the drone data, whether the asset is damaged.

38 . The computer system of claim 37 , wherein the asset is a vehicle and the event comprises at least one of a vehicle collision or vehicle crash.

39 . The computer system of claim 38 , the instructions further causing the one or more processors to:

based at least in part on the drone data, determine that the vehicle is damaged; and

based at least in part on determining that the vehicle is damaged, generate an estimate of at least one of damage to the vehicle or injury to an occupant of the vehicle.

40 . The computer system of claim 38 , the instructions further causing the one or more processors to:

based at least in part on the drone data, determine that the vehicle is damaged; and

based at least in part on determining that the vehicle is damaged, generate an estimated claim for compensation for the damage to the vehicle.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2025
From: STATE FARM MUTUAL AUTOMOBILE INSURANCE CO.
To: NEARMAP US, INC.
Reel/Frame 073000/0713 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 19, 2024
From: TOFTE, NATHAN L.; RYAN, TIMOTHY W.; BAUMANN, NATHAN W.; JACOB, MICHAEL SHAWN; LILLIE, JOSHUA DAVID; HARVEY, BRIAN N.; LYONS, ROXANE; GRANT, ROSEMARIE GEIER
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 068947/0708 →