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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 12243004 B1

PDFFull Text
Date of Patent:
Mar. 04, 2025

Filed:

Apr. 13, 2020

System and method for determining out-of-stock products

Applicants:

Carnegie Mellon University, Pittsburgh, PA (US);

Bossa Nova Robotics, San Francisco, CA (US);

Inventors:

Sarjoun Skaff, Pittsburgh, PA (US);

Marios Savvides, Wexford, PA (US);

Uzair Ahmed, Pittsburgh, PA (US);

Nikhil Mohan, New York, NY (US);

Sreena Nallamothu, Pittsburgh, PA (US);

Assignee:

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:

KDW Firm PLLC

Primary Examiner:

Matthew C Bella

Assistant Examiner:

Andrew B Jones

Int. Cl.
CPC ...
G06Q 10/087 (2023.01); B65G 1/137 (2006.01); G06K 7/14 (2006.01); G06T 3/4038 (2024.01); G06T 7/60 (2017.01); G06T 7/70 (2017.01); G06V 10/10 (2022.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); G09F 3/00 (2006.01); G09F 3/20 (2006.01); H04N 7/18 (2006.01); H04N 23/698 (2023.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); B65G 1/137 (2013.01); G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06T 3/4038 (2013.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); G06V 10/16 (2022.01); G06V 10/22 (2022.01); G06V 10/225 (2022.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); G09F 3/0297 (2013.01); G09F 3/204 (2013.01); H04N 7/18 (2013.01); H04N 23/698 (2023.01); G06T 2207/20081 (2013.01); G06T 2207/30232 (2013.01); G06V 2201/07 (2022.01); H04N 23/90 (2023.01);
Abstract

An automated inventory monitoring system includes an image capture module able to create an image of an aisle of a retail store. Product images and shelf label and peg label images are identified in the image and products are associated with product labels based on the positioning of the products with respect to the labels. Based on the association between labels and products, out-of-stock products are detected and reported to the retail store.

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