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:
Aug. 11, 2026

Filed:

Jul. 23, 2024
Applicant:

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

Inventors:

Micah Price, The Colony, TX (US);

Avid Ghamsari, Carrollton, TX (US);

Geoffrey Dagley, McKinney, TX (US);

Qiaochu Tang, Frisco, TX (US);

Jason Hoover, Grapevine, TX (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2023.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06V 10/40 (2022.01); G06V 10/46 (2022.01); G06V 10/764 (2022.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0278 (2013.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06Q 30/0206 (2013.01); G06T 7/70 (2017.01); G06T 7/97 (2017.01); G06V 10/40 (2022.01); G06V 10/462 (2022.01); G06V 10/764 (2022.01); G06V 20/00 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/30248 (2013.01);
Abstract

Aspects described herein may facilitate an automated trade-in of a vehicle with limited human interaction. A server may receive a request to begin a value determination of a vehicle associated with the user. The server may receive first data comprising: vehicle-specific identifying information, and multimedia content showing a first aspect of the vehicle. The user may be directed to place the vehicle within a predetermined staging area. The server may receive, from one or more image sensors associated with the staging area, second data comprising multimedia content showing a second aspect of the vehicle. The server may create a feature vector comprising the first data and the second data. The feature vector may be inputted into a machine learning algorithm corresponding to the vehicle-specific identifying information of the vehicle. Based on the machine learning algorithm, the server may determine a value of the vehicle.


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