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:
Aug. 05, 2025

Filed:

Sep. 30, 2021
Applicant:

Zebra Technologies Corporation, Lincolnshire, IL (US);

Inventors:

Daniel S. Gonzales, Aurora, IL (US);

Yan Zhang, Buffalo Grove, IL (US);

Assignee:

Zebra Technologies Corporation, Lincolnshire, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 3/0455 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 3/088 (2023.01); G06N 3/09 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06N 3/0455 (2023.01); G06N 3/0464 (2023.01); G06N 3/088 (2013.01); G06N 3/09 (2023.01); G06T 7/0004 (2013.01); G06N 3/047 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems and methods for anomaly localization within content captured by a machine vision camera are disclosed herein. An example method includes receiving, at an application executed on a user computing device communicatively coupled to a machine vision camera, an image captured by the machine vision camera, the image including a target object with one or more localized anomalies. The example method further includes generating, by applying an unsupervised anomaly detection (UAD) module to the image, an anomaly heatmap corresponding to the image; and concatenating, by a concatenation module, the image and the anomaly heatmap into a multi-channel image. The example method also includes generating, by applying a supervised segmentation (SS) module to the multi-channel image, a hybrid output mask identifying the one or more localized anomalies within the image.


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