Recognizing foreign Object Debris (FOD): False alarm reduction implementation

Recognition of foreign object debris (FOD) on ruwanys is mandatory to avert the accidents and emergency. The accurate and precise estimation of FOD is very complex because of the intricated shape and their different tiny sizes as well which are noe easily visilble. For the prompt removal of the F...

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Main Authors:	Khan, Talha Ahmed, Alam, Muhammad, Kadir, Kushairy, Shahid, Zeeshan, Mazliham, MS., Khan, Sheroz, Miqdad, Mohammad
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/1/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29.pdf http://irep.iium.edu.my/65102/2/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29_SCOPUS.pdf

id	iium-65102
recordtype	eprints
spelling	iium-651022018-08-15T06:15:49Z http://irep.iium.edu.my/65102/ Recognizing foreign Object Debris (FOD): False alarm reduction implementation Khan, Talha Ahmed Alam, Muhammad Kadir, Kushairy Shahid, Zeeshan Mazliham, MS. Khan, Sheroz Miqdad, Mohammad TK Electrical engineering. Electronics Nuclear engineering Recognition of foreign object debris (FOD) on ruwanys is mandatory to avert the accidents and emergency. The accurate and precise estimation of FOD is very complex because of the intricated shape and their different tiny sizes as well which are noe easily visilble. For the prompt removal of the FOD from the runways a robust, accurate and precise system is badly needed. Therefore, in our research we have proposed a vigor system comprised of ultrasonic sensor and infrared images capturing device with a combination of fake alerts reduction algorithm based on infrared images distribution and morphological edge identification. After the segmentation and morphological processing, the decision a unifying divider was designed to identify the actual targets. Several approaches have been done for the detailed and rapid investigation of FOD. Testing and validation have proved that our proposed research performed well compared to the other techniques. In this research ultrasonic sensors results are integrated with the processed infrared images. Institute of Advanced Engineering and Science 2018-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/65102/1/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29.pdf application/pdf en http://irep.iium.edu.my/65102/2/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29_SCOPUS.pdf Khan, Talha Ahmed and Alam, Muhammad and Kadir, Kushairy and Shahid, Zeeshan and Mazliham, MS. and Khan, Sheroz and Miqdad, Mohammad (2018) Recognizing foreign Object Debris (FOD): False alarm reduction implementation. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1). pp. 41-46. ISSN 2502-4752 http://www.iaescore.com/journals/index.php/IJEECS/article/view/12640/8765 10.11591/ijeecs.v11.i1.pp41-46
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Khan, Talha Ahmed Alam, Muhammad Kadir, Kushairy Shahid, Zeeshan Mazliham, MS. Khan, Sheroz Miqdad, Mohammad Recognizing foreign Object Debris (FOD): False alarm reduction implementation
description	Recognition of foreign object debris (FOD) on ruwanys is mandatory to avert the accidents and emergency. The accurate and precise estimation of FOD is very complex because of the intricated shape and their different tiny sizes as well which are noe easily visilble. For the prompt removal of the FOD from the runways a robust, accurate and precise system is badly needed. Therefore, in our research we have proposed a vigor system comprised of ultrasonic sensor and infrared images capturing device with a combination of fake alerts reduction algorithm based on infrared images distribution and morphological edge identification. After the segmentation and morphological processing, the decision a unifying divider was designed to identify the actual targets. Several approaches have been done for the detailed and rapid investigation of FOD. Testing and validation have proved that our proposed research performed well compared to the other techniques. In this research ultrasonic sensors results are integrated with the processed infrared images.
format	Article
author	Khan, Talha Ahmed Alam, Muhammad Kadir, Kushairy Shahid, Zeeshan Mazliham, MS. Khan, Sheroz Miqdad, Mohammad
author_facet	Khan, Talha Ahmed Alam, Muhammad Kadir, Kushairy Shahid, Zeeshan Mazliham, MS. Khan, Sheroz Miqdad, Mohammad
author_sort	Khan, Talha Ahmed
title	Recognizing foreign Object Debris (FOD): False alarm reduction implementation
title_short	Recognizing foreign Object Debris (FOD): False alarm reduction implementation
title_full	Recognizing foreign Object Debris (FOD): False alarm reduction implementation
title_fullStr	Recognizing foreign Object Debris (FOD): False alarm reduction implementation
title_full_unstemmed	Recognizing foreign Object Debris (FOD): False alarm reduction implementation
title_sort	recognizing foreign object debris (fod): false alarm reduction implementation
publisher	Institute of Advanced Engineering and Science
publishDate	2018
url	http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/ http://irep.iium.edu.my/65102/1/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29.pdf http://irep.iium.edu.my/65102/2/65102_Recognizing%20foreign%20Object%20Debris%20%28FOD%29_SCOPUS.pdf
first_indexed	2023-09-18T21:32:22Z
last_indexed	2023-09-18T21:32:22Z
_version_	1777412595699941376

Recognizing foreign Object Debris (FOD): False alarm reduction implementation

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