[G-03] Information Design in the Contents of Earth Science Education

[G03-05] A Proposal for Education and Disaster Mitigation using Face Recognition and AR Technology

*Haruka Matsuoka¹, Toshimitsu Takahashi¹, Takahisa Tanitsu¹, Yuichi Nagashima¹ (1.Seiwa University)

Keywords:facial recognition systems, disaster mitigation, disaster prevention education, design informatics

Information on the safety of disaster victims is extremely important not only to the victims and their families, but also to the organizations in charge of rescue activities and local governments that are trying to understand the disaster situation and establish an initial response system. Therefore, it is desirable to confirm the safety of disaster victims as quickly and accurately as possible. Traditionally, the safety of disaster victims has been verified through identification based on self-reports at evacuation centers and by compiling a list of names. However, in order to deal with evacuees who cannot declare their names due to mental damage or dementia, and to avoid mistakes in reading signatures and hearing names, it is necessary to consider a new system for confirming the identity of evacuees. This study proposes the use of a system that combines face recognition and AR technologies as a measure to identify disaster victims at evacuation centers. This study proposes the use of a system that combines face recognition and AR technologies as a measure to identify disaster victims at evacuation centers. Prior to this study, Seiwa University, to which the authors belong, concluded an industry-academia collaboration agreement with Jorudan Inc. and conducted an educational experiment using Panasonic's face recognition technology and Jorudan's JorudanStyle 3.1 function. The accuracy and practicality of the system are discussed in this study for using it as the system confirming the safety of disaster victims.