Systems and methods for providing augmented reality overlays

• US 10,452,898 B2
• Filed: 02/01/2019
• Issued: 10/22/2019
• Est. Priority Date: 12/30/2016
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Barnett, John Samuel, Davis, Dantley, Lu, Congxi, Morton, Jonathan, Vajda, Peter, Harris, Joshua Charles
• Primary Examiner(s): Hoang, Phi
• Application Number:
  US16/265,927
• Publication Number:
  US 20190171867A1
• Time in Patent Office: 263 Days
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

Systems, methods, and non-transitory computer-readable media can identify one or more objects depicted in a camera view of a camera application displayed on a display of a user device. An augmented reality overlay is determined based on the one or more objects identified in the camera view. The camera view is modified based on the augmented reality overlay.

Claims

1. A computer-implemented method comprising:

receiving, by a computing system, user location information from a first user device;

selecting, by the computing system, a first object recognition machine learning model from a plurality of object recognition machine learning models based on the user location information; and

providing, by the computing system, the first object recognition machine learning model to the first user device, wherein one or more objects depicted through the first user device are identified using the provided first object recognition machine learning model.

2. The computer-implemented method of claim 1, wherein a plurality of machine learning models associated with the user location information are downloaded to the first user device, the plurality of machine learning models including the first object recognition machine learning model.

3. The computer-implemented method of claim 1, wherein an augmented reality overlay is identified based on the one or more objects, the augmented reality overlay being used to modify a camera interface on the first user device.

4. The computer-implemented method of claim 3, wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted through the first user device.

5. The computer-implemented method of claim 4, wherein the context information comprises social networking system information associated with the object.

6. The computer-implemented method of claim 5, wherein the social networking system information comprises one or more content items associated with the object posted by users of a social networking system.

7. The computer-implemented method of claim 3, wherein the augmented reality overlay comprises an interactive augmented reality object that appears to interact with an object of the one or more objects depicted through the first user device.

8. The computer-implemented method of claim 7, wherein the interactive augmented reality object is selected based on an association with the object.

9. The computer-implemented method of claim 3, wherein the augmented reality overlay is identified based on a user selection selecting the augmented reality overlay from a plurality of augmented reality overlays.

10. The computer-implemented method of claim 1, further comprising:

receiving updated user location information from the first user device;

selecting a second object recognition machine learning model from a plurality of object recognition machine learning models based on the updated user location information; and

providing the second object recognition machine learning model to the first user device for identifying objects depicted through the first user device.

11. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising;

receiving user location information from a first user device;

selecting a first object recognition machine learning model from a plurality of object recognition machine learning models based on the user location information; and

providing the first object recognition machine learning model to the first user device, wherein one or more objects depicted through the first user device are identified using the provided first object recognition machine learning model.

12. The system of claim 11, wherein a plurality of machine learning models associated with the user location information are downloaded to the first user device, the plurality of machine learning models including the first object recognition machine learning model.

13. The system of claim 11, wherein an augmented reality overlay is identified based on the one or more objects, the augmented reality overlay being used to modify a camera interface on the first user device.

14. The system of claim 13, wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted through the first user device.

15. The system of claim 14, wherein the context information comprises social networking system information associated with the object.

16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:

receiving user location information from a first user device;

selecting a first object recognition machine learning model from a plurality of object recognition machine learning models based on the user location information; and

providing the first object recognition machine learning model to the first user device, wherein one or more objects depicted through the first user device are identified using the provided first object recognition machine learning model.

17. The non-transitory computer-readable storage medium of claim 16, wherein a plurality of machine learning models associated with the user location information are downloaded to the first user device, the plurality of machine learning models including the first object recognition machine learning model.

18. The non-transitory computer-readable storage medium of claim 16, wherein an augmented reality overlay is identified based on the one or more objects, the augmented reality overlay being used to modify a camera interface on the first user device.

19. The non-transitory computer-readable storage medium of claim 18, wherein the augmented reality overlay comprises context information associated with an object of the one or more objects depicted through the first user device.

20. The non-transitory computer-readable storage medium of claim 19, wherein the context information comprises social networking system information associated with the object.