REAL WORLD ANALYTICS VISUALIZATION

• US 20140267408A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: RPX Corporation
• Original Assignee: Daqri, Inc.
• Inventors: Mullins, Brian
• Granted Patent: US 9,607,584 B2
• Time in Patent Office: Days
• US Class Current: 345/633
• CPC Class Codes: G09G 2370/022 Centralised management of display operation, e.g. in a server instead of locally
• CPC Class Codes: G09G 3/001 using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background slide projectors per se G03B23/00 = 42 HP
• CPC Class Codes: G09G 3/003 to produce spatial visual effects
• CPC Class Codes: G09G 5/377 for mixing or overlaying two or more graphic patterns G09G5/02, G09G5/397 take precedence

Abstract

A server receives and analyzes analytics data from an application of one or more devices. The application corresponds to a content generator. The server generates, using the content generator, a visualization content dataset based on the analysis of the analytics data. The visualization content dataset comprises a set of images, along with corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images. The analytics data and the visualization content dataset may be stored in a storage device of the server.

Claims

1. A server comprising:

a processor comprising an analytics computation module and a content generator,

the analytics computation module being configured to receive and analyze analytics data from an application of one or more devices, the application corresponding to the content generator,

the content generator being configured to generate a visualization content dataset based on the analysis of the analytics data, the visualization content dataset comprising a set of images and corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images; and

a storage device configured to store the analytics data and the visualization content dataset.

2. The server of claim 1, wherein the content generator is configured to generate a analytics virtual object model to be rendered in a display of a device based on a position of the device relative to the physical object, a visualization of the virtual object corresponding to the analytics virtual object model engaged with the recognized image of the physical object captured with the device, the virtual object corresponding to the image.

3. The server of claim 1, wherein the analytics computation module is configured to analyze a pose estimation of a device relative to the physical object captured with the device, a pose duration of the device relative to the physical object captured with the device, a pose orientation of the device relative to the physical object captured with the device, and a pose interaction of the device relative to the physical object captured with the device.

4. The server of claim 3,

wherein the pose estimation comprises a location on the physical or virtual object aimed at by the device;

wherein the pose duration comprises a time duration within which the device is aimed at a same location on the physical or virtual object;

wherein the pose orientation comprises an orientation of the device aimed at the physical or virtual object; and

wherein the pose interaction comprises interactions of the user on the device with respect the virtual object corresponding to the physical object.

5. The server of claim 4, wherein the content generator is configured to generate the visualization content dataset for multiple devices based on the pose estimation, the pose duration, the pose orientation, and the pose interaction from multiple devices.

6. The server of claim 4, wherein the content generator is configured to generate the visualization content dataset for the device based on the pose estimation, the pose duration, the pose orientation, and the pose interaction from the device.

7. The server of claim 1, wherein the storage device is configured to store a primary content dataset and a contextual content dataset, the primary content dataset comprising a first set of images and corresponding analytics virtual object models, the contextual content dataset comprising a second set of images and corresponding analytics virtual object models.

8. The server of claim 1, wherein the content generator is configured to determine that a captured image received from the device is not recognized in the primary content dataset, and to generate the contextual content dataset for the device.

9. The server of claim 1, wherein the analytics data comprises usage conditions of the device.

10. The server of claim 9, wherein the usage conditions of the device comprises social information of a user of the device, location usage information, and time information of the device using the application.

11. A computer-implemented method comprising:

receiving and analyzing analytics data from a application of the one or more devices, the application corresponding to an content generator;

generating, using the content generator implemented by a processor of a server, a visualization content dataset based on the analysis of the analytics data, the visualization content dataset comprising a set of images, corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images; and

storing the analytics data and the visualization content dataset in a storage device of the server.

12. The computer-implemented method of claim 11, further comprising:

generating a analytics virtual object model to be rendered in a display of a device based on a position of the device relative to the physical object, a visualization of the virtual object corresponding to the analytics virtual object model engaged with the recognized image of the physical object captured with the device, the virtual object corresponding to the image.

13. The computer-implemented method of claim 11, further comprising:

analyzing a pose estimation of a device relative to the physical or virtual object captured with the device, a pose duration of the device relative to the physical or virtual object captured with the device, a pose orientation of the device relative to the physical or virtual object captured with the device, and a pose interaction of the device relative to the physical object captured with the device.

14. The computer-implemented method of claim 13,

wherein the pose estimation comprises a location on the physical or virtual object aimed at by the device;

wherein the pose duration comprises a time duration within which the device is aimed at a same location on the physical or virtual object;

wherein the pose orientation comprises an orientation of the device aimed at the physical or virtual object; and

wherein the pose interaction comprises interactions of the user on the device with respect the virtual object corresponding to the physical object.

15. The computer-implemented method of claim 14, further comprising:

generating the visualization content dataset for multiple devices based on the pose estimation, the pose duration, the pose orientation, and the pose interaction from multiple devices.

16. The computer-implemented method of claim 14, further comprising:

generating the visualization content dataset for a device based on the pose estimation, the pose duration, the pose orientation, and the pose interaction from the device.

17. The computer-implemented method of claim 11, further comprising:

storing, in the storage device of the server, a primary content dataset and a contextual content dataset, the primary content dataset comprising a first set of images and corresponding analytics virtual object models, the contextual content dataset comprising a second set of images and corresponding analytics virtual object models.

18. The computer-implemented method of claim 11, further comprising:

determining that the captured image received from the device is not recognized in the primary content dataset; and

generating the contextual content dataset for the device.

19. The computer-implemented method of claim 11, wherein the analytics data comprises usage conditions of the device, the usage conditions of the device comprising social information of a user of the device, location usage information, and time information of the device using the application.

20. A non-transitory machine-readable medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

receiving and analyzing analytics data from a application of the one or more devices, the application corresponding to an content generator;

generating, using the content generator implemented by a processor of a server, a visualization content dataset based on the analysis of the analytics data, the visualization content dataset comprising a set of images, corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images; and

storing the analytics data and the visualization content dataset in a storage device of the server.