Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface

The dependence on Unmanned Aerial Vehicles (UAVs) has greatly increased in many sectors around the globe. UAVs are in high demand and their technology is developing quickly, due to their ability to handle a variety of issues in a sophisticated manner. UAVs deployment in the aviation industry is stil...

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Main Authors: Mokhtar Muhammad Izham Mohd, Basri Adi Azriff, Basri Ernnie Illyani, Sultan Mohammed Thariq Hameed
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/07/e3sconf_star2024_00100.pdf
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author Mokhtar Muhammad Izham Mohd
Basri Adi Azriff
Basri Ernnie Illyani
Sultan Mohammed Thariq Hameed
author_facet Mokhtar Muhammad Izham Mohd
Basri Adi Azriff
Basri Ernnie Illyani
Sultan Mohammed Thariq Hameed
author_sort Mokhtar Muhammad Izham Mohd
collection DOAJ
description The dependence on Unmanned Aerial Vehicles (UAVs) has greatly increased in many sectors around the globe. UAVs are in high demand and their technology is developing quickly, due to their ability to handle a variety of issues in a sophisticated manner. UAVs deployment in the aviation industry is still in the trial phase, thus certain adjustments must be made to make sure the UAVs meet safety standards. Safety is the most important factor in the aviation sector since it involves people’s lives. UAVs are required to make the maintenance of an aircraft more efficient. For instance, UAVs are capable of replacing the labor-intensive inspection procedure with conducive and safe regulation. Additional tools or sensors need to be added to the UAVs system to ensure the objective of applying UAVs is achieved. The camera mounted on the drone is able to enhance the functionality and widen the range of applications of UAVs. This thesis presents the UAV system that is able to assist during an aircraft inspection. The camera mounted on the drone is installed with an image processing program to identify the defect caused by a lightning strike.
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spelling doaj.art-32a8b604fd944588a5fa7a216b4aef9a2024-01-26T16:52:14ZengEDP SciencesE3S Web of Conferences2267-12422024-01-014770010010.1051/e3sconf/202447700100e3sconf_star2024_00100Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft SurfaceMokhtar Muhammad Izham Mohd0Basri Adi Azriff1Basri Ernnie Illyani2Sultan Mohammed Thariq Hameed3Department of Aerospace Engineering, Universiti Putra MalaysiaDepartment of Aerospace Engineering, Universiti Putra MalaysiaDepartment of Aerospace Engineering, Universiti Putra MalaysiaDepartment of Aerospace Engineering, Universiti Putra MalaysiaThe dependence on Unmanned Aerial Vehicles (UAVs) has greatly increased in many sectors around the globe. UAVs are in high demand and their technology is developing quickly, due to their ability to handle a variety of issues in a sophisticated manner. UAVs deployment in the aviation industry is still in the trial phase, thus certain adjustments must be made to make sure the UAVs meet safety standards. Safety is the most important factor in the aviation sector since it involves people’s lives. UAVs are required to make the maintenance of an aircraft more efficient. For instance, UAVs are capable of replacing the labor-intensive inspection procedure with conducive and safe regulation. Additional tools or sensors need to be added to the UAVs system to ensure the objective of applying UAVs is achieved. The camera mounted on the drone is able to enhance the functionality and widen the range of applications of UAVs. This thesis presents the UAV system that is able to assist during an aircraft inspection. The camera mounted on the drone is installed with an image processing program to identify the defect caused by a lightning strike.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/07/e3sconf_star2024_00100.pdfdefect detection systemdrone inspectioncamera sensitivity
spellingShingle Mokhtar Muhammad Izham Mohd
Basri Adi Azriff
Basri Ernnie Illyani
Sultan Mohammed Thariq Hameed
Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
E3S Web of Conferences
defect detection system
drone inspection
camera sensitivity
title Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
title_full Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
title_fullStr Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
title_full_unstemmed Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
title_short Defect Detection Image Processing for Drone Inspection on Wide-Body Aircraft Surface
title_sort defect detection image processing for drone inspection on wide body aircraft surface
topic defect detection system
drone inspection
camera sensitivity
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/07/e3sconf_star2024_00100.pdf
work_keys_str_mv AT mokhtarmuhammadizhammohd defectdetectionimageprocessingfordroneinspectiononwidebodyaircraftsurface
AT basriadiazriff defectdetectionimageprocessingfordroneinspectiononwidebodyaircraftsurface
AT basriernnieillyani defectdetectionimageprocessingfordroneinspectiononwidebodyaircraftsurface
AT sultanmohammedthariqhameed defectdetectionimageprocessingfordroneinspectiononwidebodyaircraftsurface