IIUM Repository

Foreign objects debris (FOD) identification: a cost effective investigation of FOD with less false alarm rate

Khan, Talha Ahmed and Alam, Muhammad and Kadir, Kushairy and Shahid, Zeeshan and Mohd Su'ud, Mazliham and Khan, Sheroz and Miqdad, Mohammad (2018) Foreign objects debris (FOD) identification: a cost effective investigation of FOD with less false alarm rate. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017, 28 - 30 November 2017, Putrajaya.

[img] PDF - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] PDF (Scopus) - Supplemental Material
Restricted to Repository staff only

Download (490kB) | Request a copy

Abstract

Foreign Objects Debris (FOD) at Airports can be considered as a main cause of accidents that includes aircrafts damage, infrastructure and human lives loss. Therefore, Foreign Objects Debris (FOD) is the topmost intimidation for the security of aviation, airports, aircrafts and passengers. It is very complex to identify the Foreign Objects Debris (FOD) due to its diversification is size and volume. For the security of aviation and passengers, robust Foreign Objects Debris (FOD) identification system is needed. Various research approaches have been carried out for the accurate and precise investigation of Foreign Objects Debris (FOD). In this research paper we have proposed a cost effective Foreign Objects Debris (FOD) detection solution with less false alarm rate compared to the other existing trends. To accomplish the task, we designed a prototype comprised of curtain sensor as primary transducer and an ultrasonic proximity sensor as a secondary transducer along with a camera with image processing algorithm. Experimental results proved that rapid identification of Foreign Objects Debris (FOD) by our proposed research worked better than the other available techniques economically.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 3930/67280
Uncontrolled Keywords: Foreign ObjectsDebris(FOD) Sensor; Curtain sensor; Ultasonic sensor; Aircrafts; Air Traffic controll Tower(ATCT); Image processing; false alarm
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: dr Sheroz Khan
Date Deposited: 31 Oct 2018 17:23
Last Modified: 31 Oct 2018 17:23
URI: http://irep.iium.edu.my/id/eprint/67280

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year