mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor

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)

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
• 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

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
190841		UK Quantum Technology Hub in Enhanced Quantum Imaging	Miles Padgett	Engineering and Physical Sciences Research Council (EPSRC)	EP/M01326X/1	P&S - Physics & Astronomy
300982		Exploiting Closed-Loop Aspects in Computationally and Data Intensive Analytics	Roderick Murray-Smith	Engineering and Physical Sciences Research Council (EPSRC)	EP/R018634/1	Computing Science