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:
May. 26, 2026

Filed:

Apr. 29, 2022
Applicant:

Ncr Voyix Corporation, Atlanta, GA (US);

Inventors:

Stefan Bjelcevic, Roswell, GA (US);

Christian Lee Mcdaniel, Atlanta, GA (US);

Brent Vance Zucker, Roswell, GA (US);

Assignee:

NCR Voyix Corporation, Atlanta, GA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/12 (2022.01); G06Q 20/20 (2012.01); G06T 7/194 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 10/22 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 10/12 (2022.01); G06Q 20/208 (2013.01); G06T 7/194 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06V 10/22 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30242 (2013.01);
Abstract

Images of a transaction area comprising items are received during a checkout. Red-Green-Blue (RGB) data and Depth data are received with each image. Pixels captured in any given image by a given camera are pre-aligned with physical locations of a transaction area. Depth data provided by each camera and that camera's pre-alignment to the area are processed to map pixels in each image taken to X-Y coordinates within the area. X-Y coordinates for each item and for each image are grouped together as a single item within the area. RGB data for each image and item is used as a set of image patches per item. For each item, the corresponding patches are passed to a classification Machine-Learning Model (MLM) that returns an item code for each patch. A particular item code is selected for each set and the item codes are used to process the checkout.


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