Smart Cross-Infection Risk Profiling using Intelligent IOT Camera Technologies

iDefigo的这个项目是为了应对当前的流行病，将采取一系列措施来识别和减少工作场所以及大量人员合法聚集的任何地方的交叉感染风险。该项目的目标是支持经济恢复工作。该项目旨在通过识别、跟踪和报告来帮助减少交叉感染的风险：* 在室内公共场所戴口罩，* 保持社交距离，* 限制团体规模，* 管理建筑物内的人数，* 检测体温升高。该项目的目的是使用摄像头技术来识别这些因素中的每一个，通过移动的物联网安全地提供由此产生的违规数据，到iDefigo的云托管平台，在那里数据可以被处理和报告在接近真实的时间，使该服务的客户能够跟踪和识别这些风险因素中的一个或组合的趋势。这将使该系统的用户能够看到具体地点出现的问题、地点之间的差异以及各种风险因素之间的相互关系，确保问题一发生就采取正确的应对措施。该项目提供了一种非侵入性方法来识别这些风险因素。目前，任何跟踪体温升高或佩戴面罩的解决方案都是针对个人合规性的，通常需要工作人员立即进行干预。该项目对数据进行匿名处理，剔除可接受的违规行为，并在一个数据集内报告，显示总体问题，使系统用户首次有权以适当和相称的方式处理由此产生的问题。

This project by iDefigo, is in response to the current pandemic and will take a range of measures to identify and reduce the risks of cross-infection in places of work, and anywhere large numbers of people are legally gathering. The objective of the project is to support getting the economy back to work.This project aims to help minimise the risks of cross-infection by identifying, tracking and reporting:* wearing a face-mask within indoor public places,* social distancing,* limiting group sizes,* managing the number of people inside a building,* detecting elevated body temperature.The aim of this project is to use Camera technology to identify each of these factors, provide the resulting non-compliance data, securely over the mobile internet-of-things network, to iDefigo's Cloud Hosted platform where the data can be processed and reported on in near real time, enabling the clients of this service to track and identify trends in one or a combination of these risk factors. This will enable users of the system to be able to see issues unfolding in specific sites, variance between sites and correlate across the range of risk factors, ensuring that the right response is put in place as soon as the problem occurs.This project delivers a non-invasive approach to identifying these risk factors. Currently, any solutions in place to track Elevated Body Temperature, or Face Mask wearing are aimed at individual compliance and require near-immediate intervention typically by a member of staff. This project anonymises the data, factors out acceptable non-compliance and reports across a data set showing the overall problem and allowing the users of the system for the first time to be empowered to deal with the resulting issues in an appropriate and proportionate manner.