IP Library › Granted Patent US 10,509,962
Granted Patent B2
US 10,509,962 · App. 15/859,056 · Granted Dec 17, 2019

Camera platform incorporating schedule and stature

Inventors: Shuai Zheng (Berkeley, CA); Fan Yang (San Jose, CA); Mohammadhadi Kiapour (San Francisco, CA); Qiaosong Wang (San Jose, CA); Japjit S. Tulsi (Los Altos Hills, CA); Robinson Piramuthu (Oakland, CA)
Assignee: eBay Inc.
G06K9/00671G06K9/6256G06K9/66G06K9/78G06N20/00G06Q30/0623G06Q30/08G06T7/60G06T11/60H04N5/23293H04N7/185G06F3/04842G06Q30/0631G06Q30/0643G06T2210/16
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Quick Facts
Patent No.
US 10,509,962
App. No.
15/859,056
Granted
Dec 17, 2019
Kind
B2
Abstract

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Claims (34)

1. A method implemented by a computing device, the method comprising:

receiving, by the computing device, a plurality of digital images and times, at which, the plurality of digital images are captured;

recognizing, by the computing device, objects of clothing from the digital images, the recognizing performed using object recognition as part of machine learning;

receiving, by the computing device, a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating, by the computing device, a user profile, the generating performed by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule;

generating, by the computing device, a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting, by the computing device, the recommendation in a user interface.

2. The method as described in claim 1 , wherein the recommendation is output as augmented reality content.

3. The method as described in claim 2 , wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

4. The method as described in claim 3 , wherein the direct view is part of a live feed.

5. The method as described in claim 3 , wherein the recommendation identifies another object of clothing.

6. The method as described in claim 5 , wherein the recommendation of the other object of clothing is selectable via the user interface for purchase from a service provider system via a network.

7. The method as described in claim 6 , wherein the other object of clothing is available via an online auction.

8. A computing device comprising:

a processing system; and

a computer-readable storage medium having instructions stored thereon that, responsive to execution by the processing system, causes the processing system to perform operations comprising:

generating a user profile by training a model using machine learning based on objects of clothing recognized from a plurality of digital images, times at which corresponding digital images are captured, and a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting the recommendation in a user interface.

9. The computing device as described in claim 8 , wherein the recommendation is output as augmented reality content.

10. The computing device as described in claim 9 , wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

11. The computing device as described in claim 10 , wherein the direct view is part of a live feed.

12. The computing device as described in claim 8 , wherein the recommendation identifies an object of clothing.

13. The computing device as described in claim 12 , wherein the recommendation of the object of clothing is selectable via the user interface for purchase from a service provider system via a network.

14. A method implemented by a computing device, the method comprising:

generating, by the computing device, a user profile by training a model using machine learning based on objects of clothing recognized from a plurality of digital images, times at which corresponding digital images are captured, and a user schedule describing user appointments and times, at which, the appointments are scheduled;

generating, by the computing device, a recommendation by processing a subsequent user schedule using the model as part of machine learning; and

outputting, by the computing device, the recommendation in a user interface.

15. The method as described in claim 14 , wherein the recommendation is output as augmented reality content.

16. The method as described in claim 15 , wherein the augmented reality content is output in the user interface along with a direct view of a physical environment of the computing device.

17. The method as described in claim 16 , wherein the direct view is part of a live feed.

18. The method as described in claim 14 , wherein the recommendation identifies an object of clothing.

19. The method as described in claim 18 , wherein the recommendation of the object of clothing is selectable via the user interface for purchase from a service provider system via a network.

20. The method as described in claim 19 , wherein the object of clothing is available via an online auction.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 29, 2017
From: ZHENG, SHUAI; YANG, FAN; KIAPOUR, MOHAMMADHADI; WANG, QIAOSONG; TULSI, JAPJIT S.; PIRAMUTHU, ROBINSON
To: EBAY INC.
Reel/Frame 044508/0577 →
Continuity (2)
Provisional Application 62558836 · Sep 14, 2017
Related Publication 20190080172A1 · Mar 14, 2019
Cited By (2)
US 12,598,273 US 12,725,195