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AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS

Abstract: 

To ensure flight safety of aircraft structures, it is necessary to have regular maintenance using visual and nondestructive inspection (NDI) methods. In this paper, we propose an automatic image-based aircraft defect detection using Deep Neural Networks (DNNs). To the best of our knowledge, this is the first work for aircraft defect detection using DNNs. We perform a comprehensive evaluation of state-of-the-art feature descriptors and show that the best performance is achieved by vgg-f DNN as feature extractor with a linear SVM classifier. To reduce the processing time, we propose to apply SURF key point detector to identify defect patch candidates. Our experiment results suggest that we can achieve over 96% accuracy at around 15s processing time for a high-resolution (20-megapixel) image on a laptop.

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Paper Details

Authors:
TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG
Submitted On:
13 November 2017 - 8:57am
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Type:
Presentation Slides
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Document Year:
2017
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AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS__v2.pdf

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[1] TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG, "AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2333. Accessed: Nov. 23, 2017.
@article{2333-17,
url = {http://sigport.org/2333},
author = {TOUBA MALEKZADEH; MILAD ABDOLLAHZADEH HOSSEIN NEJATI; NGAI-MAN CHEUNG },
publisher = {IEEE SigPort},
title = {AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS},
year = {2017} }
TY - EJOUR
T1 - AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS
AU - TOUBA MALEKZADEH; MILAD ABDOLLAHZADEH HOSSEIN NEJATI; NGAI-MAN CHEUNG
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2333
ER -
TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG. (2017). AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS. IEEE SigPort. http://sigport.org/2333
TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG, 2017. AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS. Available at: http://sigport.org/2333.
TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG. (2017). "AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS." Web.
1. TOUBA MALEKZADEH, MILAD ABDOLLAHZADEH HOSSEIN NEJATI, NGAI-MAN CHEUNG. AIRCRAFT FUSELAGE DEFECT DETECTION USING DEEP NEURAL NETWORKS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2333