#7305. Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process: A comprehensive study to improve AFP inspection
October 2026 | publication date |
Proposal available till | 27-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Industrial and Manufacturing Engineering;
Artificial Intelligence;
Software; |
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Abstract:
The aerospace industry has established the Automated Fiber Placement process as a common technique for manufacturing fibre reinforced components. In order to improve such defect detection systems, this paper performs a comprehensive ranking of segmentation techniques. Feasible algorithms with sensible parameter settings were able to perform reliable defect segmentation for layed material.
Keywords:
Adaptive thresholding; Automated fiber placement; Computer vision; Image segmentation; Inline inspection; Laser line scan sensor
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