mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor
Mitchell, Kevin, Kassem, Khaled, Kaul, Chaitanya, Kapitany, Valentin, Binner, Philip, Ramsay, Andrew, Murray-Smith, Roderick, Faccio, Daniele
–arXiv.org Artificial Intelligence
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. The reflected signal received via receiver 2 (of 3) of the Soli is converted into a range profile by computing 1. INTRODUCTION The difference between the two range profiles shows the potential of using mmWave Radar solutions developed on Frequency Modulated Continuous radars like the soli, for detecting metallic objects. Wave (FMCW) technology have shown promising success through their ability to serve as a capable and versatile basis for computational sensing and short range wireless communication systems [1].
arXiv.org Artificial Intelligence
Feb-28-2023
- Country:
- Europe > United Kingdom (0.05)
- North America > United States
- New York > New York County > New York City (0.05)
- Genre:
- Research Report (1.00)
- Industry:
- Information Technology > Security & Privacy (0.34)
- Technology:
- Information Technology
- Architecture > Real Time Systems (0.92)
- Data Science (0.89)
- Communications (0.68)
- Artificial Intelligence > Machine Learning
- Neural Networks (0.47)
- Information Technology