Invention Grant
- Patent Title: Method for detecting and recognizing surface defects of automated fiber placement composite based on image converted from point cloud
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Application No.: US17574827Application Date: 2022-01-13
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Publication No.: US11557029B2Publication Date: 2023-01-17
- Inventor: Zhongde Shan , Jun Wang , Anyi Huang , Qian Xie
- Applicant: Nanjing University of Aeronautics and Astronautics
- Applicant Address: CN Nanjing
- Assignee: Nanjing University of Aeronautics and Astronautics
- Current Assignee: Nanjing University of Aeronautics and Astronautics
- Current Assignee Address: CN Nanjing
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/50 ; G06T7/11 ; G06V10/77 ; G06V10/774 ; G06V20/70 ; G06T7/30 ; G06V10/776 ; G06V10/25 ; G06V10/26

Abstract:
A method for detecting and recognizing surface defects of an automated fiber placement composite based on an image converted from point clouds, including: acquiring a surface point cloud of the automated fiber placement composite; fitting a plane to surface point data; calculating a distance from each point of the surface point cloud to a fitted plane; enveloping the surface point cloud by OBB, and generating a grayscale image according to the OBB and the distance; constructing a pre-trained semantic segmentation network for defect of fiber placement, and inputting the grayscale image to segment and recognize defect areas thereon; mapping a segmentation result output by the semantic segmentation network to the point cloud followed by defect evaluation and visualization.
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