Granted Patent B1

US 12,248,907 · App. 17/241,019 · Granted Mar 11, 2025

Inventors: Nicholas Carmelo Marotta (Scottsdale, AZ); Laura Kennedy (Gilbert, AZ); JD Johnson Willingham (Phoenix, AZ)

Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

G06Q10/087G01S17/894G01S19/45G06F18/24G06F30/13G06K7/1413G06K7/1417G06K7/1447G06N5/04G06N20/00G06T7/60G06V20/17G06V20/40G06T2207/10028

Abstract

Claims (72)

1. A computer-implemented method for commercial inventory mapping, the method comprising, via one or more processors, sensors, servers, and/or transceivers:

receiving light detection and ranging (LIDAR) data generated from a LIDAR camera;

determining data of a first object based upon processor analysis of the LIDAR data, the data of the first object comprising: (i) dimensional data of the first object, wherein the dimensional data of the first object includes a height and width of the first object, and (ii) a type of the first object;

adding the first object and the first object data to a commercial inventory list;

determining that there is not a second object different than the first object in the LIDAR data; and

in response to the determination that there is not a second object different than the first object in the LIDAR data, receiving additional LIDAR data generated from the LIDAR camera.

2. The computer-implemented method of claim 1 , wherein the LIDAR data is first LIDAR data, and the method further comprises, via the one or more processors, transceivers, sensors, and/or servers:

determining that there is a second object in the additional LIDAR data;

determining data of the second object based upon processor analysis of the additional LIDAR data, the data of the second object comprising: (i) dimensional data of the second object, and (ii) a type of the second object; and

adding the second object and the second object data to the commercial inventory list.

3. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

determining a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object.

4. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

determining a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object; and

wherein the method further comprises, via the one or more processors, transceivers, sensors, and/or servers:

providing, to a user, directions to the first object based upon the determined location of the first object.

5. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

receiving global positioning system (GPS) data corresponding to the LIDAR data; and

determining a location of the first object based upon processor analysis of the LIDAR data and the corresponding GPS data; and

wherein the first object data further comprises the location of the first object.

6. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

receiving photographic camera data from a photographic camera;

wherein the type of the first object is determined further based upon processor analysis of the photographic camera data.

7. The computer-implemented method of claim 1 , wherein the LIDAR data is received from a drone.

8. The computer-implemented method of claim 1 , further comprising, via the one or more processors, transceivers, sensors, and/or servers:

receiving photographic camera data from a photographic camera, the photographic camera data comprising either image data or video data;

wherein the type of the first object is determined further based upon processor analysis recognizing either a bar code or a Quick Response (QR) code in the either image data or video data.

9. A computer system configured for commercial inventory mapping, the computer system comprising one or more processors, sensors, servers, and/or transceivers configured to:

receive light detection and ranging (LIDAR) data generated from a LIDAR camera;

determine data of a first object based upon processor analysis of the LIDAR data, the data of the first object comprising: (i) dimensional data of the first object, wherein the dimensional data of the first object includes a height and width of the first object, and (ii) a type of the first object;

add the first object and the first object data to a commercial inventory list;

determine if there is a second object different than the first object in the LIDAR data; and

if there is not a second object different than the first object in the LIDAR data, receive additional LIDAR data generated from the LIDAR camera.

10. The computer system of claim 9 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

determine a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object.

11. The computer system of claim 9 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

determine a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object; and

wherein the system is further configured to, via the one or more processors, transceivers, sensors, and/or servers:

provide, to a user, directions to the first object based upon the determined location of the first object.

12. The computer system of claim 9 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

receive global positioning system (GPS) data corresponding to the LIDAR data; and

determine a location of the first object based upon processor analysis of the LIDAR data and the corresponding GPS data;

wherein the first object data further comprises the location of the first object.

13. The computer system of claim 9 , further configured to, via the one or more processors, sensors, servers, and/or transceivers:

if there is a second object in the LIDAR data:

determine data of the second object based upon processor analysis of the LIDAR data, the data of the second object comprising: (i) dimensional data of the second object, and (ii) a type of the second object; and

add the second object and the second object data to the commercial inventory list.

14. A computer system configured for commercial inventory mapping, comprising:

one or more processors; and

a program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to:

receive light detection and ranging (LIDAR) data generated from a LIDAR camera;

determine data of a first object based upon processor analysis of the LIDAR data, the data of the first object comprising: (i) dimensional data of the first object, wherein the dimensional data of the first object includes a height and width of the first object, and (ii) a type of the first object;

add the first object and the first object data to a commercial inventory list;

determine if there is a second object different than the first object in the LIDAR data; and

if there is not a second object different than the first object in the LIDAR data, receive additional LIDAR data generated from the LIDAR camera.

15. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

determine a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object.

16. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

determine a location of the first object based upon processor analysis of the LIDAR data;

wherein the first object data further comprises the location of the first object;

wherein the executable instructions further cause the computer system to:

provide, to a user, directions to the first object based upon the determined location of the first object.

17. The computer system of claim 14 , wherein the executable instructions further cause the computer system to:

if there is a second object in the LIDAR data:

determine data of the second object based upon processor analysis of the LIDAR data, the data of the second object comprising: (i) dimensional data of the second object, and (ii) a type of the second object; and

add the second object and the second object data to the commercial inventory list.

18. The computer-implemented method of claim 1 , further comprising generating a map of a store based upon the LIDAR data generated from the LIDAR camera.

Assignments (1)

Continuity (3)

References Cited (400)