主催: 一般社団法人 日本機械学会
会議名: ロボティクス・メカトロニクス 講演会2023
開催日: 2023/06/28 - 2023/07/01
This paper describes the development of a system to prevent the spread of COVID-19 infection, which has become prevalent in recent years. The purpose of this system is to display a heat map of areas at risk of infection. By visualizing risk areas as a heat map, those who perform disinfection work in public facilities can work efficiently and accurately. This system can also contribute to the prevention of the spread of viruses by allowing users of facilities to avoid areas with high-risk areas. By using two different methods, background differencing and OpenPose, we propose three systems and compare them through experiments. It thereby illustrates the advantages of each system.