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:
Jun. 30, 2026

Filed:

Mar. 25, 2024
Applicant:

Toshiba Global Commerce Solutions, Inc., Durham, NC (US);

Inventors:

Evgeny Shevtsov, Plano, TX (US);

Andrei Khaitas, McKinney, TX (US);

Srija Ganguly, Raleigh, NC (US);

Ievgen Binkovskyi, Kharkov, UA;

Viktor Danylchenko, Kharkov, UA;

Viktor Ivakhno, Cary, NC (US);

Tracy D. Cate, Durham, NC (US);

Artem Nagoga, Raleigh, NC (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G07G 1/00 (2006.01);
U.S. Cl.
CPC ...
G06Q 20/208 (2013.01); G07G 1/0063 (2013.01); G07G 1/0072 (2013.01);
Abstract

Techniques for predicting items for purchase at a point of sale (POS) system. These techniques include identifying one or more images, captured at a POS system, of one or more items for purchase. The techniques further include identifying a measured characteristic of the one or more items for purchase, the measured characteristic including at least one of: (i) a first weight measured using a weight sensor associated with the POS system or (ii) a footprint measured using one or more pressure or weight sensors associated with the POS system. The techniques further include predicting the items for purchase based on analyzing the one or more images using a machine learning (ML) model, and validating the predicted items for purchase using the measured characteristic.


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