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: $ 10.22万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660968
• 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日益增多的武装暴力行为提供有效的工程解决方案，这一趋势引起了安全专业人员和平民的极大关注。如果动机是恐怖主义或犯罪议程，那么预防就很困难，但也是可能的。然而，单独主动射击者的行为实际上是无法预防的。**我们的目标是通过预警为公众和执法部门提供保护手段。我们将开发紧凑型便携式（可能可穿戴）雷达的市场原型，用于远距离检测随身隐藏武器，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化无人监督操作以及在不同环境中运行的能力。此外，它们比现有的隐蔽武器探测系统要小得多，而且便宜得多。主要优点是筛查是在人自由活动时进行的。无需该人配合或了解筛查。此外，检测系统将具有基于机器学习的认知能力。这将确保对环境中的干扰和变化做出敏捷响应，以及“学习”新威胁的能力。在一项应用中，超低功耗原型旨在进行短距离（0.5 至 3 m）检测。在学校、商场、交通枢纽和体育场等公共场所部署多个装置，将为随身武器提供全天候监视。在第二个应用中，更高功率的原型将提供长达 15 至 20 米的距离检测。它以便携式或可穿戴形式供警察或安全专业人员使用。** 该系统通过分析雷达信号而不是图像来检测威胁。因此，不存在隐私问题。检测结果是一个警告信号，会自动触发用户定义的响应（例如，拍摄场景照片或消息安全）。我们的设备使用微波，它是非电离的，比手机的微波强度要弱，确保公共安全。****