IP Library › Granted Patent US 12,731,335
Granted Patent B2
US 12,731,335 · App. 18/828,716 · Granted Sep 8, 2026

Systems and methods for controlling a fleet of drones for data collection

Inventor: Matthew L. Floyd (Alpharetta, GA)
Assignee: State Farm Mutual Automobile Insurance Company
G06T17/05B64C39/024B64U10/13G05D1/104G05D1/695G06Q40/08G06Q50/163B64U10/00B64U2101/20B64U2101/26B64U2101/30B64U2201/10B64U2201/20
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Quick Facts
Patent No.
US 12,731,335
App. No.
18/828,716
Granted
Sep 8, 2026
Kind
B2
Abstract

A damage identification (DI) system for identifying property damage may include a drone fleet including several autonomous or semi-autonomous drones communicatively coupled together and a DI computing device. Each drone may collect drone-collected damage data, including image data. The DI computing may assign a geographical region to the drone fleet. The drone fleet may automatically navigate to, and then within, the geographical region to detect potential damage to properties. The DI computing device may further receive drone-collected damage data associated with a property within the geographical region from the drone fleet when the drone fleet determines the property is actually or potentially damaged, generate aggregated damage data associated with the property based at least partially upon the drone-collected damage data, and/or store the aggregated damage data in a blockchain structure associated with the property for damage assessment of the property.

Claims (44)

1 . A system for identifying property damage using a drone fleet, the system comprising:

the drone fleet comprising a plurality of drones communicatively coupled together, wherein each of the plurality of drones comprises one or more sensors, and wherein the drone fleet is configured to:

collect, using the one or more sensors, damage data associated with a first property; and

a computing device comprising at least one processor and a memory communicatively coupled to the at least one processor, the computing device in communication with at least one of the plurality of drones, wherein the at least one processor is configured to:

receive geolocation data associated with the first property from a first drone of the plurality of drones;

transmit the geolocation data to a set of drones of the plurality of drones, prompting the set of drones to navigate to the first property based upon the geolocation data;

receive the drone-collected damage data associated with the first property from the set of drones;

generate aggregated damage data associated with the first property based at least partially upon the drone-collected damage data; and

notify an external device that the first property is damaged based upon the aggregated damage data.

2 . The system of claim 1 , wherein the at least one processor is further configured to:

assign a geographical region to the drone fleet, wherein the drone fleet is configured to automatically navigate within the geographical region to detect damage to properties using the one or more sensors.

3 . The system of claim 2 , wherein the first property is located within the geographical region.

4 . The system of claim 1 , wherein the drone fleet is further configured to collect the damage data in response to determining that the first property is damaged.

5 . The system of claim 1 , wherein the at least one processor is further configured to:

store the aggregated damage data in a blockchain structure associated with the first property as part of a historical record of the first property.

6 . The system of claim 1 , wherein the drone-collected damage data includes sensor data including a plurality of images associated with the first property.

7 . A computer-implemented method for identifying property damage using a drone fleet, the method implemented by a system including (a) the drone fleet that includes a plurality of drones each including one or more sensors, and (b) a computing device that includes at least one processor and a memory communicatively coupled to the at least one processor, the method comprising:

receiving, by the computing device, geolocation data associated with a first property from a first drone of the plurality of drones;

transmitting, by the computing device, the geolocation data to a set of drones of the plurality of drones, prompting the set of drones to navigate to the first property based upon the geolocation data;

collecting, using the one or more sensors, damage data associated with the first property;

receiving, by the computing device, the drone-collected damage data associated with the first property from the set of drones;

generating, by the computing device, aggregated damage data associated with the first property based at least partially upon the drone-collected damage data; and

notifying, by the computing device, an external device that the first property is damaged based upon the aggregated damage data.

8 . The computer-implemented method of claim 7 further comprising:

assigning, by the computing device, a geographical region to the drone fleet, wherein the drone fleet is configured to automatically navigate within the geographical region to detect damage to properties using the one or more sensors.

9 . The computer-implemented method of claim 8 , wherein the first property is located within the geographical region.

10 . The computer-implemented method of claim 7 , wherein collecting the damage data further comprises collecting the damage data in response to determining that the first property is damaged.

11 . The computer-implemented method of claim 7 further comprising:

storing, by the computing device, the aggregated damage data in a blockchain structure associated with the first property as part of a historical record of the first property.

12 . The computer-implemented method of claim 7 , wherein the drone-collected damage data includes sensor data including a plurality of images associated with the first property.

13 . At least one non-transitory computer-readable storage medium having computer-executable instructions embodied thereon, wherein when executed by at least one processor communicatively coupled to a drone fleet including a plurality of drones each including one or more sensors, the computer-executable instructions cause the at least one processor to:

receive geolocation data associated with a first property from a first drone of the plurality of drones;

transmit the geolocation data to a set of drones of the plurality of drones, prompting the set of drones to navigate to the first property based upon the geolocation data;

instruct the drone fleet to collect, using the one or more sensors, damage data associated with the first property;

receive the drone-collected damage data associated with the first property from the set of drones;

generate aggregated damage data associated with the first property based at least partially upon the drone-collected damage data; and

notify an external device that the first property is damaged based upon the aggregated damage data.

14 . The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to:

assign a geographical region to the drone fleet, wherein the drone fleet is configured to automatically navigate within the geographical region to detect damage to properties using the one or more sensors.

15 . The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to:

instruct the drone fleet to collect the damage data in response to determining that the first property is damaged.

16 . The at least one non-transitory computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to:

store the aggregated damage data in a blockchain structure associated with the first property as part of a historical record of the first property.

17 . The at least one non-transitory computer-readable storage medium of claim 13 , wherein the drone-collected damage data includes sensor data including a plurality of images associated with the first property.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2024
From: FLOYD, MATTHEW L.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 068581/0336 →
Continuity (7)
Continuation 17896032 · Aug 25, 2022
Continuation 16786299 · Feb 10, 2020
Continuation 15917240 · Mar 9, 2018
Provisional Application 62540876 · Aug 3, 2017
Provisional Application 62527745 · Jun 30, 2017
Provisional Application 62525533 · Jun 27, 2017
Related Publication 20240428516A1 · Dec 26, 2024
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