Detection of surface defects of aluminium extrudants using artificial intelligence
As the demand for aluminium profiles continues to rise, the occurrences of defects on the aluminium surface increase rapidly. While some factories still rely on manual defect detection, the small and unobvious defects often lead to high false detection rates due to the human eye's limitation....
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| Format: | Final Year Project / Dissertation / Thesis |
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2024
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| Online Access: | http://eprints.utar.edu.my/6819/1/2005739_POAN_CHEE_KENT.pdf http://eprints.utar.edu.my/6819/ |
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