User recognition based user experience platform

• US 10,311,459 B1
• Filed: 04/04/2018
• Issued: 06/04/2019
• Est. Priority Date: 04/04/2018
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Inventors: Babao, Polerio, Cherco, Natalie, Kantorowicz, Kayne, Garcia, Christina, Gliniewicz, Steven, Chakraborty, Arindam
• Primary Examiner(s): Macasiano, Marilyn G
• Application Number:
  US15/945,406
• Time in Patent Office: 426 Days
• Field of Search: 705 729
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0281 Customer communication at a business location, e.g. providing product or service information, consulting
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

A device may receive, from a camera device, an image that includes a person. The device may provide the image to a user recognition device and receive, from the user recognition device, a user identifier based on the person included in the image. In addition, the device may obtain user data based on the user identifier, the user data relating to prior activity relating to the person associated with the user identifier. The device may identify a user device based on a first physical location associated with the camera device and a second physical location associated with the user device, and provide the user data to the user device.

Claims

1. A device, comprising:

one or more memory devices; and

one or more processors, communicatively connected to the one or more memory devices, to;

receive, from a camera device, a plurality of images;

analyze, using a computer-implemented user recognition technique, the plurality of images to identify an image that includes a person;

determine, for another image of the plurality of images, that the person is not identifiable from the other image;

discard the other image based on the determination that the person is not identifiable from the other image;

provide the image to a user recognition device;

receive, from the user recognition device, a user identifier based on the person included in the image;

obtain user data based on the user identifier,

the user data relating to prior activity relating to the person associated with the user identifier;

identify a user device based on,

a first physical location associated with the camera device,

a second physical location associated with the user device, and

a measure of distance between the first physical location associated with the camera device and the second physical location associated with the user device; and

provide the user data to the user device,

the user device being associated with a user that is different from the person.

2. The device of claim 1, wherein the one or more processors are further to:

receive, from the camera device, data identifying the first physical location.

3. The device of claim 1, wherein:

the image includes a face of the person; and

the user recognition device is a facial recognition device.

4. The device of claim 1, wherein the one or more processors are further to:

receive, from a second camera device, data indicating the second physical location.

5. The device of claim 4, wherein the data indicating the second physical location includes:

a second image depicting the user of the user device.

6. The device of claim 1, wherein the one or more processors are further to:

receive, from the user device, data indicating the second physical location.

7. The device of claim 6, wherein the data indicating the second physical location includes:

sensor data obtained from one or more sensor devices associated with the user device.

8. The device of claim 1, wherein the one or more processors, when identifying the user device, are further to:

identify the user device based on a measure of priority associated with the user device,

the measure of priority indicating that the user device is associated with a highest measure of priority relative to other measures of priority associated with other user devices.

9. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive, from a camera device, a plurality of images;

analyze, using a computer-implemented user recognition technique, the plurality of images to identify an image that includes a person;

determine, for another image of the plurality of images, that the person is not identifiable from the other image;

discard the other image based on the determination that the person is not identifiable from the other image;

provide the image to a user recognition device;

obtain, from the user recognition device, a user identifier associated with the person included in the image;

obtain user data based on the user identifier,

the user data including;

previously collected information regarding the person associated with the user identifier, or

a previously captured image of the person associated with the user identifier;

identify a user device based on,

a first physical location associated with the camera device,

a second physical location associated with the user device, and

a measure of distance between the first physical location associated with the camera device and the second physical location associated with the user device; and

provide the user data to the user device,

the user device being associated with a user that is different from the person.

10. The non-transitory computer-readable medium of claim 9, wherein the one or more instructions, that cause the one or more processors to identify the user device, cause the one or more processors to:

identify the user device from a plurality of user devices based on the first physical location associated with the camera device being closer to the second physical location associated with the user device than other physical locations associated with other user devices included in the plurality of user devices.

11. The non-transitory computer-readable medium of claim 9, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

provide the image to the user device.

12. The non-transitory computer-readable medium of claim 9, wherein the user data provided to the user device causes the user device to display at least a portion of the user data.

13. The non-transitory computer-readable medium of claim 9, wherein the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

identify user experience data based on the user data,

the user experience data including a suggested offer for the person associated with the user identifier; and

provide the user experience data to the user device.

14. A method, comprising:

receiving, by a first device and from a camera device, a plurality of images;

analyzing, by the first device and using a computer-implemented user recognition technique, the plurality of images to identify an image that includes a person,

the person being different from a user associated with the first device;

determining, by the first device and for another image of the plurality of images, that the person is not identifiable from the other image;

discarding, by the first device, the other image based on the determination that the person is not identifiable from the other image;

obtaining, by the first device, a user identifier associated with the person included in the image;

obtaining, by the first device, from a user data storage device, and based on the user identifier, user data,

the user data including;

previously collected information regarding the person associated with the user identifier, and

a previously captured image of the person associated with the user identifier, and

the user data being obtained based on a measure of distance between a first physical location associated with the camera device and a second physical location associated with the first device;

identifying, by the first device, user experience data,

the user experience data including a suggested offer for the person associated with the user identifier,

the suggested offer being based on the user data; and

causing, by the first device, display of the user data and the suggested offer.

15. The method of claim 14, wherein the user data includes at least one of:

a registered image depicting a registered user associated with the user identifier,

information identifying the registered user associated with the user identifier,

information identifying user account information for the registered user associated with the user identifier,

location-based information associated with a physical location of the camera device, or

information obtained from a third party device and associated with the user identifier.

16. The method of claim 15, wherein the registered image was provided by the registered user at a time the registered user registered.

17. The method of claim 15, wherein the information identifying the registered user associated with the user identifier includes a name associated with the registered user.

18. The method of claim 15, wherein the information identifying user account information for the registered user associated with the user identifier includes user payment account information.

19. The method of claim 15, wherein the location-based information associated with the physical location of the camera device includes retail purchase history associated with a retailer.

20. The method of claim 15, wherein the information obtained from the third party device includes Internet shopping history associated with the registered user.