IP Library Patent Application 19045886
Patent Application
App. No. 19/045,886

SYSTEMS AND METHODS FOR COMMERCIAL INVENTORY MAPPING

Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US None
App. No.
19/045,886
Abstract

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; determines 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, and (ii) a type of the first object; and adds the first object and the first object data to a commercial inventory list.

Claims (75)

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 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;

in response to the determination that there is not a second object different than the first object in the LIDAR data, determining if creation of the commercial inventory list is finished including determining that the creation of the commercial inventory list is finished; and

in response to the determination that the commercial inventory list is finished, creating a map including a location of the first object.

2 . The computer-implemented method of claim 1 , further including generating the map based upon the LIDAR data.

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 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, determine if creation of the commercial inventory list is finished; and

if the creation of the commercial inventory list is finished, create a map including a location of the first object.

10 . The computer system of claim 9 , further configured to, via the one or more processors, sensors, servers, and/or transceivers, generate the map based upon the LIDAR data.

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.

12 . 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.

13 . 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.

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

receive 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.

15 . 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 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, determine if creation of the commercial inventory list is finished; and

if the creation of the commercial inventory list is finished, create a map including a location of the first object.

16 . The computer system of claim 15 , wherein the executable instructions, when executed, further cause the computer system to generate the map based upon the LIDAR data.

17 . The computer system of claim 15 , wherein the executable instructions, when executed, 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.

18 . The computer system of claim 15 , wherein the executable instructions, when executed, 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.

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

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.

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

receive 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.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2025
From: MAROTTA, NICHOLAS CARMELO; KENNEDY, LAURA; WILLINGHAM, JD JOHNSON
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 070183/0912 →