Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique
Joint Authors
Mohan, Rajesh Elara
Ramalingam, Balakrishnan
Manuel, Vega-Heredia
Vengadesh, Ayyalusami
Lakshmanan, Anirudh Krishna
Ilyas, Muhammad
James, Tan Jun Yuan
Source
International Journal of Aerospace Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-12
Country of Publication
Egypt
No. of Pages
14
Abstract EN
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 surface inspection process, human visual inspection is performed which is time-consuming and inefficient whereas robots with onboard vision systems can inspect the aircraft skin safely, quickly, and accurately.
This work proposes an aircraft surface defect and stain detection model using a reconfigurable climbing robot and an enhanced deep learning algorithm.
A reconfigurable, teleoperated robot, named as “Kiropter,” is designed to capture the aircraft surface images with an onboard RGB camera.
An enhanced SSD MobileNet framework is proposed for stain and defect detection from these images.
A Self-filtering-based periodic pattern detection filter has been included in the SSD MobileNet deep learning framework to achieve the enhanced detection of the stains and defects on the aircraft skin images.
The model has been tested with real aircraft surface images acquired from a Boeing 737 and a compact aircraft’s surface using the teleoperated robot.
The experimental results prove that the enhanced SSD MobileNet framework achieves improved detection accuracy of aircraft surface defects and stains as compared to the conventional models.
American Psychological Association (APA)
Ramalingam, Balakrishnan& Manuel, Vega-Heredia& Mohan, Rajesh Elara& Vengadesh, Ayyalusami& Lakshmanan, Anirudh Krishna& Ilyas, Muhammad…[et al.]. 2019. Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique. International Journal of Aerospace Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1156631
Modern Language Association (MLA)
Ramalingam, Balakrishnan…[et al.]. Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique. International Journal of Aerospace Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1156631
American Medical Association (AMA)
Ramalingam, Balakrishnan& Manuel, Vega-Heredia& Mohan, Rajesh Elara& Vengadesh, Ayyalusami& Lakshmanan, Anirudh Krishna& Ilyas, Muhammad…[et al.]. Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique. International Journal of Aerospace Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1156631
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156631