Invention Grant
- Patent Title: System and method for automated surface anomaly detection
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Application No.: US17653760Application Date: 2022-03-07
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Publication No.: US12134483B2Publication Date: 2024-11-05
- Inventor: Amir Afrasiabi , Zachary Ryan Smith
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Agency: Alleman Hall & Tuttle LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; B64F5/10 ; B64F5/60 ; G06T7/00 ; G06T17/10 ; G06V20/50

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.
Public/Granted literature
- US20220289403A1 SYSTEM AND METHOD FOR AUTOMATED SURFACE ANOMALY DETECTION Public/Granted day:2022-09-15
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