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AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management

机译:AI-Biometric驱动的智能手机应用程序,用于严格的Covid家庭检疫管理

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COVID-19 has been announced as a Global Communal Health Extremity by WHO on January 2020. Meaningful preventive solutions have been taken with smartphone selfie/geofencing apps toward managing mandatory home quarantine and physical distancing. In the post-COVID world, fast screening and strict quarantine can play a crucial role in bringing back normality. Quarantine being offered at home can be a comfortable solution for both government and patients. On the other hand, it can be hazardous if not strictly followed and adequately realized. However, the existing geofencing/face selfie apps take static photographs and location data at certain time intervals that can allow patients to violate the rules between those periods, thus failing to ensure active user identity. To realize unbreached home quarantine policies, this article introduces a CUBA-HQM smartphone app that performs continuous user biometric authentication (CUBA) augmented with geofencing using AI technology. The purpose of continuous tracking is to strictly control the spread of infectious diseases in society by monitoring the individual move in/out in the quarantine zone.
机译:Covid-19已被宣布为2012年1月世卫组织作为全球性卫生极端。智能手机Selfie / Geofencing应用程序迈出了有意义的预防解决方案,以管理强制性家庭检疫和身体疏远。在后Covid世界中,快速筛选和严格的检疫可以在引起正常性方面发挥至关重要的作用。在家提供检疫可以为政府和患者提供舒适的解决方案。另一方面,如果没有严格遵循和充分意识到,它可能是危险的。然而,现有的地理围栏/面部Selfie应用程序以一定的时间间隔采取静态照片和位置数据,允许患者违反这些时期之间的规则,因此未能确保有效的用户身份。为了实现未串行的家庭隔离政策,本文介绍了使用AI技术的地理舒张来执行连续用户生物识别(古巴)的古巴-HQM智能手机应用程序。连续跟踪的目的是通过监测检疫区中的个人在/输出中严格控制社会中传染病的传播。

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