IP Library › Granted Patent US 12,394,031
Granted Patent B1
US 12,394,031 · App. 17/739,921 · Granted Aug 19, 2025

Systems and methods for sensor-based detection of property damage

Inventors: Andre Rene Buentello (San Antonio, TX); Gregory David Hansen (San Antonio, TX); Justin Royell Nash (Little Elm, TX); Nathan Lee Post (Rockport, TX); Jose L. Romero, Jr. (San Antonio, TX); Brian Francisco Shipley (Plano, TX)
Assignee: United Services Automobile Association (USAA)
G06T7/0002G06Q40/08G06V20/35G06V20/70G06T2207/10052
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Quick Facts
Patent No.
US 12,394,031
App. No.
17/739,921
Filed
May 9, 2022
Granted
Aug 19, 2025
Kind
B1
Art Unit
2668
USPC
382/100
Abstract

A system includes one or more processors configured to receive one or more sets of LIDAR sensor data corresponding to damage of a property. The system is configured to analyze the one or more sets of LIDAR sensor data and determine a repair recommendation and recommended time period of repair for the associated damage of the property. The system may also detect changes to property condition over time and monitor condition of the property over time via LIDAR sensors and alert the user when property condition decreases and a repair is recommended.

Claims (40)

1. A system, comprising:

one or more processors;

memory storing instructions executable by the one or more processors to cause the one or more processors to:

automatically activate one or more Light Detection and Ranging (LIDAR) sensors to collect sensor data periodically according to a monitoring schedule;

receive the sensor data from the one or more LIDAR sensors, wherein the sensor data comprises a first set of the sensor data indicative of damage to a property at a first time and a second set of the sensor data indicative of the damage to the property at a second time;

determine property condition data related to the damage to the property based on the sensor data, wherein to determine the property condition data comprises calculating a percent change in a dimension of the damage to the property between the first time and the second time based on the first set of the sensor data and the second set of the sensor data;

determine an appropriate repair and a recommended time frame for completion of the appropriate repair based on the property condition data; and

transmit an alert to a device of a user, wherein the alert comprises the percent change in the dimension of the damage to the property.

2. The system of claim 1 , wherein the instructions are executable by the one or more processors to cause the one or more processors to transmit the alert to the device of the user in response to the percent change in the dimension of the damage to the property exceeding a threshold.

3. The system of claim 1 , wherein the instructions are executable by the one or more processors to cause the one or more processors to instruct display of the appropriate repair and the recommended time frame for completion of the appropriate repair on a display screen.

4. The system of claim 3 , wherein the display screen is part of the device of the user.

5. The system of claim 1 , wherein the instructions are executable by the one or more processors to cause the one or more processors to update one or more databases based at least in part on the property condition data, wherein the one or more databases are configured to store additional property condition data, additional repair costs, or a combination thereof related to other properties.

6. The system of claim 5 , wherein the instructions are executable by the one or more processors to cause the one or more processors to determine the appropriate repair and the recommended time frame for the completion of the appropriate repair by comparing the property condition data related to the damage of the property with the additional property condition data and the additional repair costs related to the other properties stored in the one or more databases.

7. The system of claim 5 , wherein the instructions are executable by the one or more processors to cause the one or more processors to determine the appropriate repair and the recommended time frame for the completion of the appropriate repair by utilizing one or more algorithms, wherein the one or more algorithms comprise variables that are dynamically updated based on the additional property condition data, the additional repair costs, or the combination thereof stored in the one or more databases.

8. The system of claim 1 , wherein the instructions are executable by the one or more processors to cause the one or more processors to provide an incentive to the user associated with the property in response to the appropriate repair being completed within the recommended time frame.

9. A method, comprising:

automatically activating, via one or more processors, one or more Light Detection and Ranging (LIDAR) sensors to collect one or more sets of sensor data periodically according to a monitoring schedule;

receiving, via the one or more processors, the one or more sets of sensor data from the one or more LIDAR sensors, wherein the sensor data comprises a first set of the sensor data indicative of damage to a property at a first time and a second set of the sensor data indicative of the damage to the property at a second time;

determining, via the one or more processors, depth data associated with the one or more sets of sensor data;

determining, via the one or more processors, property condition data related to the damage of the property based at least in part on the depth data, wherein determining the property condition data comprises calculating a percent change in a dimension of the damage to the property between the first time and the second time based on the first set of the sensor data and the second set of the sensor data;

determining, via the one or more processors, an appropriate repair and a cost to repair the damage of the property based at least in part on the property condition data;

instructing, via the one or more processors, display of a recommendation of the appropriate repair and the cost to repair the damage on a mobile device of a user; and

transmitting, via the one or more processors, an alert to the mobile device of the user, wherein the alert comprises the percent change in the dimension of the damage to the property.

10. The method of claim 9 , wherein the one or more LIDAR sensors are housed in the mobile device.

11. The method of claim 9 , wherein the property condition data comprises a property type, dimensions of the damage of the property, a volume of the damage of the property, an impact of the damage on other components of the property, or any combination thereof.

12. The method of claim 9 , comprising updating, via the one or more processors, one or more databases based at least in part on the property condition data, wherein the one or more databases are configured to store additional property condition data, additional repair costs, or a combination thereof related to other properties.

13. The method of claim 12 , wherein determining the cost to repair the damage of the property comprises comparing the property condition data related to the damage of the property with the additional property condition data and the additional repair costs related to the other properties stored in the database.

14. The method of claim 9 comprising determining, via the one or more processors, that an insurance damage claim related to the damage of the property is fraudulent based at least in part on a comparison between a proposed repair cost and the cost to repair the damage of the property.

15. The method of claim 9 comprising controlling, via the one or more processors, an actuator to move the one or more LIDAR sensors to collect one or more additional sets of sensor data periodically according to the monitoring schedule.

16. A system, comprising:

one or more processors;

memory storing instructions executable by the one or more processors to cause the one or more processors to:

automatically activate one or more Light Detection and Ranging (LIDAR) sensors to collect one or more sets of sensor data periodically according to a monitoring schedule;

receive the one or more sets of sensor data from the one or more LIDAR sensors, wherein the one or more sets of sensor data indicate damage of a property at a first time;

determine a recommended repair and a recommended time frame for completion of the recommended repair based on the one or more sets of sensor data;

receive one or more additional sets of sensor data from the one or more LIDAR sensors, wherein the one or more additional sets of sensor data indicate the damage of the property at a second time;

determine, based on the one or more sets of sensor data and the one or more additional sets of sensor data, a percent change in the damage of the property between the first time and the second time; and

determine an updated recommended repair and an updated recommended time frame for completion of the updated recommended repair based on the percent change in the damage of the property.

17. The system of claim 16 , wherein the instructions are executable by the one or more processors to cause the one or more processors to reduce an insurance premium for the property in response to completion of the updated recommended repair within the updated recommended time frame.

18. The system of claim 16 , wherein the instructions are executable by the one or more processors to cause the one or more processors to control an actuator to move the one or more LIDAR sensors to enable collection of the one or more sets of sensor data at the first time and to enable collection of the one or more additional sets of sensor data at the second time.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 25, 2025
From: UIPCO, LLC
To: UNITED SERVICES AUTOMOBILE ASSOCIATION (USAA)
Reel/Frame 071839/0594 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 10, 2025
From: BUENTELLO, ANDRE RENE; HANSEN, GREGORY DAVID; NASH, JUSTIN ROYELL; POST, NATHAN LEE; ROMERO, JOSE L., JR.; SHIPLEY, BRIAN FRANCISCO
To: UIPCO, LLC
Reel/Frame 071376/0215 →
Continuity (1)
Provisional Application 63186526 · May 10, 2021
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