The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 23, 2021

Filed:

Apr. 29, 2020
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Geoffrey Dagley, McKinney, TX (US);

Jason Hoover, Grapevine, TX (US);

Micah Price, Anna, TX (US);

Olalekan Awoyemi, Prosper, TX (US);

Qiaochu Tang, The Colony, TX (US);

Stephen Wylie, Carrollton, TX (US);

Sunil Vasisht, Frisco, TX (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 10/08 (2012.01); G06Q 10/10 (2012.01); G06Q 10/06 (2012.01); G06F 16/787 (2019.01); G06Q 30/06 (2012.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 11/60 (2006.01); G07C 5/08 (2006.01); G06F 16/783 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/20 (2013.01); G06F 16/787 (2019.01); G06F 16/7837 (2019.01); G06N 20/00 (2019.01); G06Q 10/06395 (2013.01); G06Q 10/083 (2013.01); G06Q 10/0875 (2013.01); G06Q 10/1097 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/0633 (2013.01); G06T 7/0004 (2013.01); G06T 11/60 (2013.01); G07C 5/0808 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A device having extended reality capabilities receives a video feed including one or more video frames depicting an object. The device provides the one or more video frames to a first machine learning model that identifies the object and one or more parts of the object that are depicted in the one or more video frames, and obtains positional tracking information that represents a position and an orientation associated with the object depicted in the one or more video frames relative to a coordinate space. The device identifies a plurality of parts from the one or more parts of the object that are depicted in the one or more video frames and determines, using one or more second machine learning models, information regarding the plurality of parts and information regarding one or more replacement parts.


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