Aircraft Visual Damage Inspection with Autonomous Drone and Image Processing

International Journal of Research in Engineering, Science and Management

View Publication Info
 
 
Field Value
 
Title Aircraft Visual Damage Inspection with Autonomous Drone and Image Processing
 
Creator Jothi, C. Vimal
Gokulnath, S.
Vetrivel, K.
Balaji, H.
Issac, D. P. Sujay Iswarian
 
Subject autonomous drone
damage
image-processing
inspection
sensors
 
Description The drone-based aircraft visual inspection system is optimized for inspecting the surface of the whole aircraft. The drone is equipped with ultrasonic sensors capable of detecting obstacles and halting the inspection if needed. The drone is capable of flying with and without the need for remote piloting. The drone follows a predefined inspection path and the autonomous drone captures all the required images with its on board camera. The implementation of the drone will reduce the overall inspection time. High-quality pictures are then transferred to a pc database for detailed analysis using a software system. It measures visual damage on an aircraft’s surface by image processing. Finally, the software generates an inspection report.
 
Publisher RESAIM
 
Date 2021-05-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.journals.resaim.com/ijresm/article/view/690
 
Source International Journal of Research in Engineering, Science and Management; Vol. 4 No. 4 (2021); 170-173
2581-5792
 
Language eng
 
Relation https://www.journals.resaim.com/ijresm/article/view/690/663
 
Rights Copyright (c) 2021 C. Vimal Jothi, S. Gokulnath, K. Vetrivel, H. Balaji, D. P. Sujay Iswarian Issac
https://creativecommons.org/licenses/by/4.0
 

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