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Reseach Article

A New Computer-based Ferromagnetic Metal Detector for Security Applications

by Francis K. Murori, Elijah Mwangi, Patrick M. Karimi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 11
Year of Publication: 2016
Authors: Francis K. Murori, Elijah Mwangi, Patrick M. Karimi

Francis K. Murori, Elijah Mwangi, Patrick M. Karimi . A New Computer-based Ferromagnetic Metal Detector for Security Applications. International Journal of Computer Applications. 144, 11 ( Jun 2016), 37-44. DOI=10.5120/ijca2016910481

@article{ 10.5120/ijca2016910481,
author = { Francis K. Murori, Elijah Mwangi, Patrick M. Karimi },
title = { A New Computer-based Ferromagnetic Metal Detector for Security Applications },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 11 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-44 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016910481 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:47:24.874915+05:30
%A Francis K. Murori
%A Elijah Mwangi
%A Patrick M. Karimi
%T A New Computer-based Ferromagnetic Metal Detector for Security Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 11
%P 37-44
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

The need for detecting and locating concealed metallic objects and contraband items increases in importance as the issues of security becomes of great concern. In the field of metal detectors, the research is being geared towards the production of detectors with fast settling times and high discriminating ability. This paper proposes a method for designing a computer-based ferromagnetic metal detector which can be employed for security applications. The LabVIEW software has been used to program the detector. It is a novel programming language from National Instruments that is robust, highly parallel and eliminates most of syntactical details associated with text based programming languages. Because of this, the development time of the detector is reduced by a significant factor. A recognition algorithm has also been designed to discriminate between ferromagnetic items by their mass and size. To improve the settling time of the detector, components with fast response times have been chosen, making the detector’s settling time to be approximately 1.1 sec. In addition, the screening process has been made more convenient by connecting the detector to a remote computer through data socket networking. The remote computer enables the detector to be monitored remotely in real time and also acts as a central database where the screening information is sent for further storage. The system hardware comprises of ten fluxgate magnetic field sensors (FLC 100) with response time of 1sec and sensitivity of 1V/50μT, a wooden frame in form of a portal, connecting cables, USB DAQ 2833, USB video camera, wireless network adapter and two laptop computers.

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Index Terms

Computer Science
Information Sciences


Magnetic field sensors (FLC 100) LabVIEW programming USB Video camera USB DAQ 2833 Datasocket Networking.