Safety management using digital tools toward prevention for infection of COVID-19

Abstract

From the experience of COVID-19, there is an urgent need to develop a digital system for many small stores to maintain their operations safely in case the same situation occurs again in the future. Specifically, it uses mobile to manage customer staying time using automatic recognition technology that does not depend on private information, and is linked with monitoring congestion status etc., which is useful for managing store safety in both White Mode and Black Mode. If the lattes case happens, we propose a system that will be able to take immediate action.