Mitchell, K., Kassem, K., Kaul, C., Kapitany, V., Binner, P., Ramsay, A. , Faccio, D. and Murray-Smith, R. (2023) mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10 June 2023, ISBN 9781728163277 (doi: 10.1109/ICASSP49357.2023.10095884)
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Abstract
For widespread adoption, public security and surveillance systems must be accurate, portable, compact, and real-time, without impeding the privacy of the individuals being observed. Current systems broadly fall into two categories – image-based which are accurate, but lack privacy, and RF signal-based, which preserve privacy but lack portability, compactness and accuracy. Our paper proposes mmSense, an end-to-end portable miniaturised real-time system that can accurately detect the presence of concealed metallic objects on persons in a discrete, privacy-preserving modality. mm-Sense features millimeter wave radar technology, provided by Google’s Soli sensor for its data acquisition, and TransDope, our real-time neural network, capable of processing a single radar data frame in 19 ms. mmSense achieves high recognition rates on a diverse set of challenging scenes while running on standard laptop hardware, demonstrating a significant advancement towards creating portable, cost-effective real-time radar based surveillance systems.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Murray-Smith, Professor Roderick and Mitchell, Mr Kevin and Kaul, Dr Chaitanya and Kapitany, Mr Valentin and Ramsay, Mr Andrew and Faccio, Professor Daniele and Kassem, Khaled and Binner, Philip |
Authors: | Mitchell, K., Kassem, K., Kaul, C., Kapitany, V., Binner, P., Ramsay, A., Faccio, D., and Murray-Smith, R. |
College/School: | College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Physics and Astronomy |
ISBN: | 9781728163277 |
Published Online: | 05 May 2023 |
Copyright Holders: | Copyright © 2023 IEEE |
First Published: | First published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023) |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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