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. 02, 2026

Filed:

Jun. 30, 2023
Applicant:

Nielsen Consumer Llc, Chicago, IL (US);

Inventors:

Francisco Javier Delgado Del Hoyo, Valladolid, ES;

Javier Tovar Velasco, Valladolid, ES;

Antonio Hurtado, Valladolid, ES;

Assignee:

Nielsen Consumer LLC, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/19 (2022.01); G06Q 10/087 (2023.01); G06Q 30/0201 (2023.01); G06V 10/46 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06V 30/19173 (2022.01); G06Q 10/087 (2013.01); G06Q 30/0201 (2013.01); G06V 10/46 (2022.01); G06V 20/63 (2022.01); G06V 30/19093 (2022.01); G06V 30/19107 (2022.01);
Abstract

Systems, apparatus, articles of manufacture, and methods are disclosed that recognize products using visual and textual information. An example apparatus includes classification circuitry to classify object facings detected in a shelf image to determine object candidates corresponding to a first object, ones of the object candidates to include a respective image-based metric; cluster circuitry to assign words extracted from the shelf image to the first object; rank adjuster circuitry to generate text-based metrics for the object candidates by comparing respective object characteristics of the object candidates to the words, ones of the text-based metrics corresponding to respective ones of the object candidates; and prediction circuitry to determine final metrics for the object candidates by selecting, for the ones of the object candidates, (a) a respective image-based metric or (b) a combination of the respective image-based metric and a respective text-based metric; and rank the object candidates using the final metrics.


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