Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019)

Crime and acts of terrorism are of great concern in modern society. The detection of on-body hidden weaponsx000D
is of paramount importance for saving lives. Current detection technologies suffer from high false rates, bothx000D
positive and negative, even if the scanned people cooperate. High cost and low throughput prevent deploymentx000D
in busy public buildings such as schools, stadiums, etc. Covert scanning, where people are unaware that theyx000D
are being scanned, is even more challenging and remains an unsolved problem. Yet such "covert" systems arex000D
sometimes needed to adequately protect civilians.x000D
This project focuses on the development of a new product for real-time scanning and detection of concealedx000D
weapons using microwave radar. Research will focus on a software-defined radio platform that offers greatx000D
flexibility during development, deployment and even operational phases. It allows for system improvementsx000D
without hardware changes and for updates over secure network connections. This architecture is available as ax000D
system on a chip, which will reduce the size and the cost to the end-user. The system's hardware footprint willx000D
be roughly the size of a notebook.x000D
The detection system is safe as the radiation is non-ionizing and low-power. Another advantage is that thex000D
concealed objects will be detected without generating an image of the body, thus avoiding privacy concerns.x000D
A distinct feature of this product is its cognitive ability to continuously learn about the deployment site, aboutx000D
new threats (e.g. weapons), and about new non-threats (e.g. cell phones). Recognition is enabled by machinex000D
learning classifiers, which are "trained" by applying statistical analysis to large sets of radar responses tox000D
threats, non-threats, and background environments. Classification depends critically on these measurements,x000D
particularly those of the deployment site. Therefore, the product will continue to acquire new measurementsx000D
after installation in order to improve the detection success. New threat/non-threat data, as well as novelx000D
classifiers, will also be provided via secure network updates.