Researchers have proposed solutions to limit the spreading of the Covid-19 pandemic worldwide. Systems capable of guaranteeing compliance with the minimum distance between people have been considered important to prevent the diffusion of the virus. In this article, we describe one system that can be used to keep distancing among persons moving in public spaces. It is based on the integration of computer vision techniques for rapidly detecting the presence of gatherings in the area and local radio technologies to identify and alert persons in the detected gatherings. We show that the goal of distancing can be achieved by fully respecting the privacy of individuals, which could be compromised by other distancing solutions such as those based on apps installed on personal devices such as smartphones and tablets.

中文翻译：

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整合视频和无线电技术以实现社交距离

研究人员提出了限制 Covid-19 大流行在全球范围内传播的解决方案。能够保证遵守人与人之间最小距离的系统被认为对防止病毒传播很重要。在本文中，我们描述了一种系统，该系统可用于在公共场所移动的人之间保持距离。它基于计算机视觉技术的集成，用于快速检测该地区是否存在集会和本地无线电技术，以识别和提醒检测到的集会中的人员。我们表明，可以通过充分尊重个人隐私来实现距离目标，而其他距离解决方案可能会损害这一目标，例如基于安装在智能手机和平板电脑等个人设备上的应用程序的解决方案。