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US Patent 12134483 System and method for automated surface anomaly detection

Patent 12134483 was granted and assigned to The Boeing Company on November, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
The Boeing Company
The Boeing Company
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Current Assignee
The Boeing Company
The Boeing Company
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121344830
Patent Inventor Names
Zachary Ryan Smith0
Amir Afrasiabi0
Date of Patent
November 5, 2024
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Patent Application Number
176537600
Date Filed
March 7, 2022
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Patent Citations
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US Patent 11238197 Generating a 3D dataset containing a simulated surgical device
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US Patent 11308576 Visual stylization on stereoscopic images
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US Patent 11341699 Systems and methods for synthetic image generation
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US Patent 10210631 Generating synthetic image data
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US Patent 10459444 Autonomous vehicle fleet model training and testing
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US Patent 10643329 Automated paint quality control for aircraft
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US Patent 10957017 Synthetic image detector
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Patent Primary Examiner
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Utpal D Shah
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CPC Code
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G06N 20/00
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G06N 3/08
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G06N 3/02
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G06T 7/0004
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G06T 17/30
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G06T 7/0002
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G06T 17/10
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G06T 19/20
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Patent abstract

A system for automated surface anomaly detection includes at least one processor which is configured to retrieve from non-volatile memory a 3D control image; capture a 3D target image depicting at least the portion of the exterior of a target object; generate 2D target planar images of the target object based on the 3D target image, using a first plurality of virtual cameras; generate 2D control planar images of the control object based on the 3D control image using a second plurality of virtual cameras, the 2D control planar images corresponding to the 2D target planar images of the target object; detect at least one difference between the 2D target planar images and the 2D control planar images; and generate and cause to be displayed an output image comprising a depiction of the target object with the at least one difference indicated.

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