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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 12393803 B1

PDFFull Text
Date of Patent:
Aug. 19, 2025

Filed:

Jun. 26, 2024

Barcode readers with 3d camera(s)

Applicant:

Zebra Technologies Corporation, Lincolnshire, IL (US);

Inventors:

Yuri Astvatsaturov, Lake Forest, IL (US);

Edward Barkan, Miller Place, NY (US);

Mark Drzymala, Saint James, NY (US);

Darran Michael Handshaw, Sound Beach, NY (US);

Assignee:

Zebra Technologies Corporation, Lincolnshire, IL (US);

Attorney:

Yuri Astvatsaturov

Primary Examiner:

Ahshik Kim

Int. Cl.
CPC ...
G06K 7/10 (2006.01); G06F 18/214 (2023.01); G06K 7/14 (2006.01); G06V 10/10 (2022.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G08B 13/196 (2006.01);
U.S. Cl.
CPC ...
G06K 7/1096 (2013.01); G06F 18/2148 (2023.01); G06K 7/1417 (2013.01); G06K 7/1443 (2013.01); G06V 10/17 (2022.01); G06V 10/22 (2022.01); G06V 10/56 (2022.01); G06V 10/82 (2022.01); G06V 20/647 (2022.01); G06V 40/107 (2022.01); G06V 40/161 (2022.01); G06V 40/166 (2022.01); G06V 40/172 (2022.01); G08B 13/19613 (2013.01);
Abstract

At least some embodiments described herein are directed to a machine vision method, which involves capturing both a two-dimensional (2D) image of an object to identify a barcode and determine 3D features, and a three-dimensional (3D) image of the environment. The 3D image data is examined for the presence of the 3D object features. If a feature is missing, a digital fault detection signal is provided. If a feature is present, at least one parameter of the machine vision system is adjusted. The method also includes decoding the barcode and determining the object's orientation based on the barcode location in the 2D image.

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