Radar Systems for Unsupervised Unobrusive Detection of On-body Concealed Weapons

用于无监督、不引人注目地检测体内隐藏武器的雷达系统

• 批准号: 522367-2017
• 负责人: Nikolova, Natalia
• 金额: $ 10.18万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693526
• 关键词: Radar; Systems; Unsupervised; Unobrusive; Detection

This project aims at providing an effective engineering solution to the increasing acts of armed violence in public spaces - a trend which is of great concern to security professionals and civilians alike. If terrorist or criminal agendas are the motives, prevention is difficult but possible. The acts of lone active shooters, however, are practically impossible to prevent. Our objective is to give the public and law enforcement means of protection through early warning. We will develop market-ready prototypes of compact portable (possibly wearable) radars for the stand-off detection of on-body concealed weapons such as knives, handguns, rifles, grenades and explosive vests. Our prototypes will feature automated unsupervised operation and ability to operate in diverse environments. Moreover, they will be much smaller and significantly less expensive than existing concealed weapon detection systems. The major advantage is that screening is performed while the person is moving freely. The person's cooperation or awareness of the screening is not necessary. In addition, the detection systems will have cognitive ability based on machine learning. This will ensure agile response to interference and changes in the environment along with ability to "learn" about new threats. In one application, an extra low-power prototype aims at short-range (0.5 to 3 m) detection. Deployment of multiple units in public spaces such as schools, malls, transportation nodes, and stadiums will provide around-the-clock surveillance for body-worn weapons. In a second application, a higher-power prototype will provide stand-off detection at distances as large as 15 to 20 meters. It is intended for police or security professionals either in a portable or a wearable form. The system detects threats by analyzing radar signals, not images. Thus, there are no privacy concerns. The detection outcome is a warning signal that triggers automatically user-defined responses (e.g, taking a photo of the scene or messaging security). Our devices use microwaves, which are non-ionizing and weaker than those of a mobile phone, ensuring the public safety.

该项目旨在为公共场所中日益增长的武装暴力行为提供有效的工程解决方案，这一趋势对安全专业人员和平民都非常关注。如果恐怖分子或刑事议程是动机，那么预防是困难但可能的。然而，孤独的主动射击者的行为几乎是不可能的。 我们的目标是通过预警给公众和执法手段。我们将开发出可准备的紧凑型便携式（可能可穿戴）雷达的市场准备性原型，以隔断地检测到体内隐藏的武器，例如刀具，手枪，步枪，手榴弹和爆炸背心。我们的原型将具有自动无监督的操作和在不同环境中运行的能力。此外，它们将比现有的隐藏武器检测系统要小得多，而且便宜得多。主要优点是在人自由移动时进行筛查。该人的合作或对筛查的认识是不需要的。此外，检测系统将基于机器学习具有认知能力。这将确保敏捷对干扰和环境变化的反应，以及“学习”新威胁的能力。在一个应用中，额外的低功率原型旨在用于短程（0.5至3 m）检测。在学校，购物中心，运输节点和体育场等公共场所中部署多个单元将为杂乱无章的武器提供全天候的监视。在第二次应用中，更高的功率原型将在距离长达15至20米的距离下提供对峙检测。它旨在以便携式或可穿戴状态的警察或安全专业人员。 该系统通过分析雷达信号而不是图像来检测威胁。因此，没有隐私问题。检测结果是一个警告信号，该警告信号会自动触发用户定义的响应（例如，为场景或消息安全性拍摄照片）。我们的设备使用的微波炉比移动电话的微波炉且较弱，从而确保了公共安全。