Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning

Advanced Defect Detection on Curved Aeronautical Surfaces Through Infrared Imaging and Deep Learning

Detecting defects on aerospace surfaces is critical to ensure safety and maintain the integrity of aircraft structures. Traditional methods often need more precision and efficiency for effective defect detection. This paper proposes an innovative approach that leverages deep learning and infrared im...

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Bibliographic Details
Main Authors: Leith Bounenni, Mohamed Arbane, Clemente Ibarra-Castanedo, Yacine Yaddaden, Sreedhar Unnikrishnakurup, Andrew Ngo Chun Yong, Xavier Maldague
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:NDT
Subjects:
deep learning
infrared imaging
aeronautical surfaces
defect detection
Online Access:https://www.mdpi.com/2813-477X/2/4/32
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