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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.

Patent No.:

US 12373971 B1

PDFFull Text
Date of Patent:
Jul. 29, 2025

Filed:

Sep. 08, 2022

Systems and methods for trigger-based updates to camograms for autonomous checkout in a cashier-less shopping

Applicant:

Standard Cognition, Corp., San Francisco, CA (US);

Inventors:

Jordan Fisher, San Francisco, CA (US);

Nairwita Mazumder, San Francisco, CA (US);

Arpan Ghosh, San Francisco, CA (US);

Mohit Deep Singh, San Francisco, CA (US);

David Woollard, San Francisco, CA (US);

Michael Huang, San Francisco, CA (US);

Assignee:

STANDARD COGNITION, CORP., San Francisco, CA (US);

Attorneys:

Haynes Beffel & Wolfeld LLP

Andrew L. Dunlap

Primary Examiner:

Henok Shiferaw

Assistant Examiner:

Dennis Rosario

Int. Cl.
CPC ...
G06T 7/20 (2017.01); G06F 16/55 (2019.01); G06F 16/75 (2019.01); G06F 18/24 (2023.01); G06Q 10/08 (2024.01); G06Q 10/087 (2023.01); G06Q 10/0875 (2023.01); G06Q 30/0207 (2023.01); G06T 3/18 (2024.01); G06T 3/60 (2024.01); G06T 7/00 (2017.01); G06T 7/246 (2017.01); G06T 7/60 (2017.01); G06V 10/24 (2022.01); G06V 10/26 (2022.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G06N 3/02 (2006.01); G06N 20/00 (2019.01); G06Q 10/0833 (2023.01); G06T 5/60 (2024.01); G06T 5/80 (2024.01); G06T 7/292 (2017.01); G06V 10/82 (2022.01); G06V 20/68 (2022.01); G06V 20/70 (2022.01); G06V 30/10 (2022.01); G06V 30/146 (2022.01);
U.S. Cl.
CPC ...
G06T 7/60 (2013.01); G06F 16/55 (2019.01); G06F 16/75 (2019.01); G06F 18/24 (2023.01); G06Q 10/08 (2013.01); G06Q 10/087 (2013.01); G06Q 10/0875 (2013.01); G06Q 30/0223 (2013.01); G06T 3/18 (2024.01); G06T 3/60 (2013.01); G06T 7/0002 (2013.01); G06T 7/20 (2013.01); G06T 7/246 (2017.01); G06T 7/251 (2017.01); G06V 10/242 (2022.01); G06V 10/243 (2022.01); G06V 10/26 (2022.01); G06V 10/7515 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06V 40/28 (2022.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); G06Q 10/0833 (2013.01); G06T 5/60 (2024.01); G06T 5/80 (2024.01); G06T 7/292 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06V 10/82 (2022.01); G06V 20/68 (2022.01); G06V 20/70 (2022.01); G06V 30/10 (2022.01); G06V 30/1463 (2022.01); G06V 30/1473 (2022.01); G06V 30/1475 (2022.01);
Abstract

Systems and methods for tracking inventory items in an area of real space are disclosed. The method includes receiving a signal generated in dependence on sensors. The signal indicates a change to a portion of an image of an area of real space. The method includes, in response to receiving the signal, implementing a trained location detection model to determine, based on inputs, whether an inventory item identified in the portion of the image has changed a position in the area of real space. The method includes implementing a trained item classification model to determine a classification of the inventory item. The method includes updating an inventory database with inventory item data determined in dependence on the classification of the inventory item to provide an updated map of the area of real space as a result of the received signal indicating the change to the portion of the image.

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