Advances in Aircraft Skin Defect Detection Using Computer Vision: A Survey and Comparison of YOLOv9 and RT-DETR Performance

Advances in Aircraft Skin Defect Detection Using Computer Vision: A Survey and Comparison of YOLOv9 and RT-DETR Performance

Aircraft skin surface defect detection is critical for aviation safety but is currently mostly reliant on manual or visual inspections. Recent advancements in computer vision offer opportunities for automation. This paper reviews the current state of computer vision algorithms and their application...

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Bibliographic Details
Main Authors: Nutchanon Suvittawat, Christian Kurniawan, Jetanat Datephanyawat, Jordan Tay, Zhihao Liu, De Wen Soh, Nuno Antunes Ribeiro
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Aerospace
Subjects:
aircraft defect detection
computer vision
maintenance repair and overhaul (MRO)
YOLO
RT-DETR
Online Access:https://www.mdpi.com/2226-4310/12/4/356
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