US 12,711,755 B2Granted

Item recognition enhancements

AssigneeToshiba Global Commerce Solutions, Inc.

InventorsTerry A. Lochner, Soraya D. Brewer

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Abstract

The present disclosure describes a system and method for identifying an item. The system includes a camera that captures a first image of a first item being purchased by a user, a memory, and a processor. The processor determines, based on the first image, a first probability for a first identity of the first item and a second probability for a second identity of the first item and in response to determining that both the first probability and the second probability are below a threshold, determines, based on a shopping history of the user, that the user previously purchased a second item comprising a characteristic. The processor also applies a first weight to the first probability and a second weight to the second probability based on the characteristic, and assigns the first identity to the first item based on the first weighted probability and the second weighted probability.

Claims20

Dependent claims

A system comprising:

a scanner configured to scan an identifier on a first item;
a camera configured to capture a first image of the first item as the scanner is scanning the identifier on the first item;
a memory;
and
one or more processors communicatively coupled to the memory, a combination of the one or more processors configured to:
obtain a scanned identity of the first item based, at least in part, on the scanner scanning the identifier on the first item;
extract information about the first item from the first image of the first item;
determine, based on the information about the first item, a first probability for a first identity of the first item and a second probability for a second identity of the first item;
in response to determining that both the first probability and the second probability are below a threshold, determine, based on a shopping history of a user purchasing the first item, that the user previously purchased a second item comprising a characteristic;
apply a first weight to the first probability based on the characteristic to produce a first weighted probability;
apply a second weight to the second probability based on the characteristic to produce a second weighted probability;
assign the first identity as a predicted identity of the first item based on the first weighted probability and the second weighted probability;
determine a mismatch between the scanned identity of the first item and the predicted identity of the first item;
generate an alert indicating the mismatch between the scanned identity of the first item and the predicted identity of the first item;
and
display the alert on a display device for viewing by one or more persons.

13 more elements

A method comprising:

obtaining, by one or more processors, a scanned identity of a first item based, at least in part, on scanning an identifier on the first item;
capturing, by a camera, a first image of the first item as the identifier on the first item is being scanned;
extracting, by the one or more processors, information about the first item from the first image;
determining, by the one or more processors and based on the information about the first item, a first probability for a first identity of the first item and a second probability for a second identity of the first item;
in response to determining that both the first probability and the second probability are below a threshold, determining, by the one or more processors and based on a shopping history of a user purchasing the first item, that the user purchasing the first item previously purchased a second item comprising a characteristic;
applying, by the one or more processors, a first weight to the first probability based on the characteristic to produce a first weighted probability;
applying, by the one or more processors, a second weight to the second probability based on the characteristic to produce a second weighted probability;
assigning, by the one or more processors, the first identity as a predicted identity of the first item based on the first weighted probability and the second weighted probability;
determining, by the one or more processors, a mismatch between the scanned identity of the first item and the predicted identity of the first item;
generating, by the one or more processors, an alert indicating the mismatch between the scanned identity of the first item and the predicted identity of the first item;
and
displaying, by the one or more processors, the alert on a display device for viewing by one or more persons.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/401,219Filed 29 Dec 2023
Published: US 2025/0218170 A13 Jul 2025
Granted: 18 Aug 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06V 10/84
Using pattern recognition or machine learning: using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian…
G06Q 20/18
Payment architectures: involving self-service terminals [SST], vending machines, kiosks or multimedia terminals
G06Q 20/203
Point-of-sale [POS] network systems: inventory monitoring
G06Q 20/208
Point-of-sale [POS] network systems: input by product or record sensing, e.g. weighing or scanner processing