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Electromagnetic Imaging System for Weapon Detection and Classification

Authors:
Abdalrahman Al-Qubaa
Gui Yun Tian
John Wilson

Keywords: sensor array; electromagnetic imaging; weapon detection; object recognition; metal detection and classification.

Abstract:
The detection of concealed weapons is one of the biggest challenges facing the security community. It has been shown that each weapon can have a unique fingerprint, which is an electromagnetic signal determined by its size, shape, and physical composition. Extracting the signature of each weapon is one of the major tasks of any detection system. This paper addresses the issue of identifying conductive objects based on their response to electromagnetic fields. A system developed at Newcastle University using a walk-through metal detector with a giant magneto-resistive sensor array to measure the spatial magnetic field is used in the study. Threat and non-threat objects have been tested. Image visualization and feature extraction of the electromagnetic field were carried out. Classification was performed using cross correlation. Promising results indicating the feasibility of using electromagnetic imaging to identify objects have been found.

Pages: 317 to 321

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-144-1

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011