IP Library › Granted Patent US 12,322,047
Granted Patent B2
US 12,322,047 · App. 18/521,339 · Granted Jun 3, 2025

Visual data management system and method

Inventors: Sarah Nancy Staab (Washington, DC); Joseph Gerard Longo (Nokesville, VA)
G06T19/003G06T7/50G06T15/04G06V20/20G06T2200/04G06T2200/08G06T2207/10028G06T2207/20084
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Quick Facts
Patent No.
US 12,322,047
App. No.
18/521,339
Granted
Jun 3, 2025
Kind
B2
Abstract

A system and method for creating, storing, interacting, and manipulating a digital facility is disclosed. One or more computing platform(s) may be configured to electronically receive a plurality of machine-readable sensor data of a physical facility having multiple 3D objects. One or more computing platform(s) may be configured to electronically process the plurality of machine-readable sensor data to output a machine-readable point cloud model configured for augmented virtual navigation. One or more computing platform(s) may be configured generate a machine-readable configuration database of geotagged-locations of the 3D objects. One or more computing platform(s) may be configured generate a machine-readable dynamic configuration database of 3D objects.

Claims (35)

1. A system configured for data communication, the system comprising:

one or more hardware processors configured by machine-readable instructions to:

electronically receive a plurality of machine-readable sensor data of a physical facility having multiple 3D objects;

electronically process the plurality of machine-readable sensor data to output a machine-readable point cloud model including physical based renders of said 3D objects, the point cloud model configured for augmented virtual navigation by a remote user platform in a virtual navigation space logically linked to the point cloud model;

electronically process machine-readable point cloud model to generate a machine-readable dynamic configuration database of geotagged-locations of the 3D objects with a set of virtual space reservation metadata logically annotated to the 3D objects; and

electronically output data to the remote user platform, including at least one of the 3D objects with associated at least one of said virtual space reservation metadata linked to the at least one of the 3D objects in the virtual navigation space.

2. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process the point cloud model with a neural network to output a set of most probable suggestions for augmented virtual navigation.

3. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically receive the plurality of machine-readable sensor data from multiple remote sensors.

4. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically receive the plurality of machine-readable sensor data from a crowdsourcing network.

5. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process the configuration database to recognize historical change data over to a predetermined period of time of the 3D objects.

6. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process the configuration database to recognize historical maintenance data over to a predetermined period of time of the 3D objects.

7. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically receive the plurality of machine-readable sensor data from a group of selected from one of a RFID, barcode, a serial number, a quick response code associated with the 3D objects.

8. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to process the machine-readable point cloud model to provide physically based rendering of the 3D objects.

9. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to process the machine-readable point cloud model wherein multiple remote user platforms are configured for augmented virtual navigation within the point cloud model.

10. The system of claim 1 , wherein the one or more hardware processors are further configured by machine-readable instructions to process the machine-readable point cloud model wherein multiple remote user platforms are configured for simultaneous augmented virtual navigation within the point cloud model.

11. A system configured for data communication, the system comprising:

one or more hardware processors configured by machine-readable instructions to:

electronically receive a plurality of machine-readable sensor data of a physical facility having multiple 3D objects;

electronically process the plurality of machine-readable sensor data to output a machine-readable point cloud model including physical based renders of said 3D objects, the point cloud model configured for augmented virtual navigation by a remote user in a virtual navigation space logically linked to said point cloud model;

electronically process the point cloud model with a neural network to output a set of probable suggestions for augmented virtual navigation of the point cloud model by the remote user with a set of virtual space reservation metadata electronically annotated to the 3D objects; and

electronically output data to the remote user including at least one of the 3D objects with associated at least one of said virtual space reservation metadata electronically linked to the at least one of the 3D objects in the virtual navigation space.

12. The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process machine-readable point cloud model to generate a machine-readable configuration database of geotagged-location of the 3D objects.

13. The system of claim 12 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process the configuration database to recognize historical change data over to a predetermined period of time of the 3D objects.

14. The system of claim 12 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically process the configuration database to recognize historical maintenance data over to a predetermined period of time of the 3D objects.

15. The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically receive the plurality of machine-readable sensor data from multiple remote sensors.

16. The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to electronically receive the plurality of machine-readable sensor data from a crowdsourcing network.

17. The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to store a database of a machine-readable history data of the remote user associated with the point cloud model augmented virtual navigation and processing the machine readable history data with the neural network to output the set of probable suggestions.

18. The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to process the machine-readable point cloud model to provide physically based rendering of the 3D objects for texturing.

19. A system configured for data communication, the system comprising:

one or more hardware processors configured by machine-readable instructions to:

electronically receive a machine-readable point cloud model generated from a plurality of machine-readable sensor data of a physical facility having multiple 3D objects;

the machine-readable point cloud model including physical based renders of said 3D objects, the point cloud model being configured for augmented virtual navigation by a remote user platform in a virtual navigation space logically linked to said point cloud model; and

electronically process the machine-readable point cloud model to generate a machine-readable dynamic configuration database of geotagged-locations of the 3D objects with virtual space reservation maintenance metadata electronically annotated to the 3D objects; and

electronically output data to the remote user platform including at least one of the 3D objects with associated at least one of said virtual space reservation metadata linked to the at least one of the 3D objects in the virtual navigation space.

20. The system of claim 19 , wherein the one or more hardware processors are further configured by machine-readable instructions to process the machine-readable point cloud model wherein multiple remote users can access the point cloud model simultaneously.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 22, 2026
From: DTIS, LLC
To: STAAB, SARAH NANCY; LONGO, JOSEPH GERARD
Reel/Frame 073551/0991 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 19, 2023
From: STAAB, SARAH NANCY; LONGO, JOSEPH GERARD
To: DTIS, LLC
Reel/Frame 065912/0586 →
Continuity (3)
Continuation 17582588 · Jan 24, 2022
Provisional Application 63140694 · Jan 22, 2021
Related Publication 20240096025A1 · Mar 21, 2024
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