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 FOD...

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Main Authors: Khan, Talha (Author), Alam, Muhammad (Author), Kadir, Kushairy (Author), Shahid, Zeeshan (Author), Mazliham, MS. (Author), Khan, Sheroz (Author), Miqdad, Mohammad (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-07-01.
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042 |a dc 
100 1 0 |a Khan, Talha  |e author 
100 1 0 |e contributor 
700 1 0 |a Alam, Muhammad  |e author 
700 1 0 |a Kadir, Kushairy  |e author 
700 1 0 |a Shahid, Zeeshan  |e author 
700 1 0 |a Mazliham, MS.  |e author 
700 1 0 |a Khan, Sheroz  |e author 
700 1 0 |a Miqdad, Mohammad  |e author 
245 0 0 |a Recognizing Foreign Object Debris (FOD): False Alarm Reduction Implementation 
260 |b Institute of Advanced Engineering and Science,   |c 2018-07-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12640 
520 |a 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. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Foreign Object Debris; Sensors; False alarm; morphological image processing; infrared images 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 1: July 2018; 41-46 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v11.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12640/8765 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12640/8765  |z Get fulltext