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目的，预防是困难的，但却是可能的。然而，单独行动的枪手的行为实际上是不可能预防的。 我们的目标是通过预警为公众和执法部门提供保护。我们将开发市场可用的紧凑型便携式（可能是可穿戴的）雷达原型，用于远距离探测身上隐藏的武器，如刀，手枪，步枪，手榴弹和爆炸背心。我们的原型将具有自动化无监督操作以及在不同环境中操作的能力。此外，它们将比现有的隐藏武器探测系统小得多，而且价格也要便宜得多。其主要优点是，筛查是在人自由移动时进行的。该人的合作或意识的筛选是没有必要的。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作出敏捷的反应沿着能够“了解”新的威胁。在一个应用中，一个额外的低功率原型旨在进行短程（0.5至3米）探测。在学校、商场、交通枢纽和体育场等公共场所部署多个单位将为随身武器提供全天候监视。在第二个应用中，一个更高功率的原型将在15到20米的距离上提供远距离探测。它适用于警察或安全专业人员，可以是便携式或可穿戴形式。** 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，自动触发用户定义的响应（例如，拍摄场景照片或发送安全消息）。我们的设备使用微波，这是非电离和弱于那些移动的电话，确保公共安全。*