IP Library Granted Patent US 10,692,160
Granted Patent B1
US 10,692,160 · App. 15/398,306 · Granted Jun 23, 2020

Property damage estimator

Inventors: Roxane Lyons (Chenoa, IL); Andrew Crouthamel (Normal, IL); Aaron Brucker (Bloomington, IL); Gregory D. Carter (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06Q50/163G06K9/0063
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Quick Facts
Patent No.
US 10,692,160
App. No.
15/398,306
Granted
Jun 23, 2020
Kind
B1
Abstract

Systems and approaches for estimating damage to property are described. In one approach, a damage estimation device is activated using a mobile computing device. This damage estimation device may then automatically capture (e.g., using an imaging sensor) a plurality of images of the damaged property. The damage estimation device may then calculate at least one characteristic of the damaged property from the plurality of captured images and further calculate at least one characteristic of the damage to the damaged property from the plurality of captured images. A repair estimate may then be calculated based at least on the at least one characteristic of the damaged property and the at least one characteristic of the damage. This repair estimate may then be transmitted.

Claims (35)

1. A method of estimating damage to a damaged property, the method comprising:

activating a damage estimation device using a mobile computing device, the damage estimation device comprising an unmanned aerial vehicle having an imaging sensor coupled thereto;

determining, via at least one sensor coupled with the damage estimation device, directional data of the damaged property to generate at least one directional identifier indicating a facing direction of the damaged property;

capturing, via the imaging sensor of the unmanned aerial vehicle, a plurality of images of the damaged property;

appending the at least one directional identifier to at least one of the plurality of images of the damaged property;

calculating (i) at least one characteristic of the damaged property selected from the group consisting of a roof height measurement, a roof slope measurement, a construction material, and an estimated age from the plurality of captured images; and (ii) at least one characteristic of the damage selected from the group consisting of a damage type, a damaged area dimension, and a damage severity rating from the plurality of captured images;

calculating a repair estimate based at least on the at least one characteristic of the damaged property and the at least one characteristic of the damage; and

transmitting, by one or more processors, the repair estimate.

2. The method of claim 1 , wherein the damage estimation device generates an orthomosaic of the damaged property for subsequent inspection.

3. The method of claim 1 , wherein the roof slope measurement is obtained via triangulation using a known height above a ground level.

4. The method of claim 1 , further comprising accessing geographical data to verify a location of the damaged property.

5. The method of claim 1 , further comprising applying an identifier to each of the plurality of images.

6. The method of claim 1 , further comprising selecting at least one image from the plurality of captured images to be used to calculate the at least one characteristic of the damaged property and the at least one characteristic of the damage.

7. The method of claim 1 , wherein capturing the plurality of images includes designating, on a virtual map of the damaged property, a plurality of waypoints to constrain motion of the damage estimation device.

8. A damage estimation system, the system comprising:

a mobile computing device; and

a damage estimation device communicatively coupled to the mobile computing device, the damage estimation device comprising an unmanned aerial vehicle having at least one imaging sensor coupled thereto;

wherein upon activating the damage estimation device via the mobile computing device, the damage estimation device is adapted to:

determine, via at least one sensor coupled therewith, directional data of the damaged property to generate at least one directional identifier indicating a facing direction of the damaged property;

capture a plurality of images of damage to a damaged property using the at least one imaging sensor,

append the at least one directional identifier to the plurality of images;

calculate at least one characteristic of the damaged property from the plurality of captured images, the at least one characteristic of the damaged property selected from the group consisting of a roof height measurement, a roof slope measurement, a construction material, and an estimated age, and

calculate at least one characteristic of the damage from the plurality of captured images, the at least one characteristic of the damage selected from a group consisting of a damage type, a damaged area dimension, and a damage severity rating,

wherein the system is adapted to calculate a repair estimate based at least on the at least one characteristic of the damaged property and the at least one characteristic of the damage.

9. The damage estimation system of claim 8 , the system further being adapted to transmit the estimated quote to the mobile computing device.

10. The damage estimation system of claim 8 , wherein the damage estimation device is adapted to generate an orthomosaic of the damaged property for subsequent inspection.

11. The damage estimation system of claim 8 , wherein the imaging sensor is adapted to automatically apply an identifier to each of the plurality of images.

12. A non-transitory computer-readable storage medium comprising computer-readable instructions to be executed on one or more processors of a system for estimating damage to a property, the instructions when executed causing the one or more processors to:

activate a damage estimation device comprising an unmanned aerial vehicle having an imaging sensor coupled thereto;

determine, via at least one sensor coupled therewith, directional data of the damaged property to generate at least one directional identifier indicating a facing direction of the damaged property;

capture a plurality of images of the damaged property using the imaging sensor of the unmanned aerial vehicle;

append the at least one directional identifier to the plurality of images; using the damage estimation device, calculate (i) at least one characteristic of the property from the plurality of captured images, the at least one characteristic of the property selected from the group consisting of a roof height measurement, a roof slope measurement, a construction material, and an estimated age, and (ii) at least one characteristic of the damage to the property from the plurality of captured images, the at least one characteristic of the damage selected from the group consisting of a damage type, a damaged area dimension, and a damage severity rating;

calculate a repair estimate based at least on the at least one characteristic of the damaged property and the at least one characteristic of the damage; and

cause the estimated quote to be transmitted.

13. The non-transitory computer readable storage medium of claim 12 , wherein the instructions when executed cause the damage estimation device to generate an orthomosaic of the damaged property.

Assignments (3)
SECURITY INTEREST Recorded Oct 20, 2025
From: ROOFR INC.
To: STIFEL BANK
Reel/Frame 072598/0354 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 21, 2025
From: STATE FARM MUTUAL AUTOMOBILE INSURANCE CO.
To: ROOFR INC.
Reel/Frame 072083/0039 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 4, 2017
From: LYONS, ROXANE; CROUTHAMEL, ANDREW; BRUCKER, AARON; CARTER, GREGORY D.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 040843/0547 →
Cited By (5)
US 12,293,311 US 12,475,515 US 12,608,932 US 12,632,748 US 12,657,633