Research on danger diagnosis system using image recognition AI

Abstract

　Today's Japan is said to be an aging society, and there is a possibility that long-term care will have to be taken care of parents rather than by others. Therefore, it may be necessary for everyone to engage in long-term care without vocational training or preparation. Therefore, in this research, we will develop a danger detection system in order to increase the number of eyes watched by AI and prevent accidents. With the aim of reducing the burden on caregivers, we used deep learning to focus on falls, which is the most dangerous case in long-term care, clarified what kind of danger there is, and designed the system. In this paper, we report the results of investigating the dangers in long-term care and the design contents of the danger detection system.