3D point cloud analysis for detection and characterization of defects on airplane exterior surface

I Jovančević, HH Pham, JJ Orteu, R Gilblas… - Journal of …, 2017 - Springer
Three-dimensional surface defect inspection remains a challenging task. This paper
describes a novel automatic vision-based inspection system that is capable of detecting and …

How and why we need to capture tacit knowledge in manufacturing: Case studies of visual inspection

TL Johnson, SR Fletcher, W Baker, RL Charles - Applied ergonomics, 2019 - Elsevier
Human visual inspection skills remain superior for ensuring product quality and
conformance to standards in the manufacturing industry. However, at present these skills …

Anomaly detection using siamese network with attention mechanism for few-shot learning

H Takimoto, J Seki, S F. Situju… - Applied Artificial …, 2022 - Taylor & Francis
Automated inspection using deep-learning has been attracting attention for visual inspection
at the manufacturing site. However, the inability to obtain sufficient abnormal product data for …

Visual inspection of the aircraft surface using a teleoperated reconfigurable climbing robot and enhanced deep learning technique

B Ramalingam, VH Manuel, MR Elara… - International Journal …, 2019 - Wiley Online Library
Aircraft surface inspection includes detecting surface defects caused by corrosion and
cracks and stains from the oil spill, grease, dirt sediments, etc. In the conventional aircraft …

[HTML][HTML] Visual inspection of aircraft skin: Automated pixel-level defect detection by instance segmentation

D Meng, WU Boer, XU Juan, AN Kasule… - Chinese Journal of …, 2022 - Elsevier
Skin defect inspection is one of the most significant tasks in the conventional process of
aircraft inspection. This paper proposes a vision-based method of pixel-level defect …

Automated exterior inspection of an aircraft with a pan-tilt-zoom camera mounted on a mobile robot

I Jovančević, S Larnier, JJ Orteu… - Journal of Electronic …, 2015 - spiedigitallibrary.org
This paper deals with an automated preflight aircraft inspection using a pan-tilt-zoom
camera mounted on a mobile robot moving autonomously around the aircraft. The general …

Deep neural network recognition of rivet joint defects in aircraft products

OS Amosov, SG Amosova, IO Iochkov - Sensors, 2022 - mdpi.com
The mathematical statement of the problem of recognizing rivet joint defects in aircraft
products is given. A computational method for the recognition of rivet joint defects in aircraft …

ASD-YOLO: An aircraft surface defects detection method using deformable convolution and attention mechanism

B Huang, Y Ding, G Liu, G Tian, S Wang - Measurement, 2024 - Elsevier
Aircraft surface defect (ASD) detection is crucial for ensuring flight safety. Addressing
challenges such as large-scale variations, irregular shapes, and sample imbalance in ASD …

Defects recognition algorithm development from visual UAV inspections

NP Avdelidis, A Tsourdos, P Lafiosca, R Plaster… - Sensors, 2022 - mdpi.com
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant
procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out …

The aircraft skin crack inspection based on different-source sensors and support vector machines

C Wang, X Wang, X Zhou, Z Li - Journal of Nondestructive Evaluation, 2016 - Springer
Currently, most aircraft skin crack inspections are done by naked-eye vision and video
instrumentation, but a single vision inspection can only provide partial information and …