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用于关键环境中人类活动监测的嵌入式工具集。

An embedded toolset for human activity monitoring in critical environments.

作者信息

Di Benedetto Marco, Carrara Fabio, Ciampi Luca, Falchi Fabrizio, Gennaro Claudio, Amato Giuseppe

机构信息

Institute of Information Science and Technologies of the National Research Council of Italy (ISTI-CNR), Pisa, Italy.

出版信息

Expert Syst Appl. 2022 Aug 1;199:117125. doi: 10.1016/j.eswa.2022.117125. Epub 2022 Apr 8.

Abstract

In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent COVID-19 disease. From wearing personal protective equipment to filling physical spaces with an adequate number of people, it is clear that a possibly automatic solution would help to check compliance with the established rules. Based on an off-the-shelf compact and low-cost hardware, we present a deployed real use-case embedded system capable of perceiving people's behavior and aggregations and supervising the appliance of a set of rules relying on a configurable plug-in framework. Working on indoor and outdoor environments, we show that our implementation of counting people aggregations, measuring their reciprocal physical distances, and checking the proper usage of protective equipment is an effective yet open framework for monitoring human activities in critical conditions.

摘要

在许多工作和娱乐活动中,存在这样的场景,即个人和集体安全都必须不断得到检查并得到适当的信号提示,比如在危险的工作场所或像最近的新冠疫情这样的大流行事件期间。从佩戴个人防护装备到在物理空间中安排足够数量的人员,很明显,一个可能的自动化解决方案将有助于检查是否符合既定规则。基于现成的紧凑且低成本的硬件,我们展示了一个已部署的实际用例嵌入式系统,该系统能够感知人们的行为和聚集情况,并依靠可配置的插件框架监督一组规则的应用。在室内和室外环境中运行时,我们表明,我们对人员聚集进行计数、测量他们之间的物理距离以及检查防护装备的正确使用情况的实现,是一个在关键条件下监测人类活动的有效且开放的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8084/8990688/f1c4a5171eed/gr2_lrg.jpg

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