Before the test, the 4 parties plan to use the crowd simulation generation developed in advance to visualize the threat of infection, which varies depending on the volume and proximity of others entering the evacuation center. The simulation assumes that several evacuees are inflamed with COVID-19, giving crisis control resolution managers data on how to modify their evacuation center control plans accordingly.
On test day, Fujitsu’s AI symbol research service will be deployed on the site to collect information, adding the number of incoming evacuees and their attributes from video knowledge captured through cameras installed near evacuation center access points, providing real-time information. . congestion at evacuation centres. This knowledge will be transmitted to Kawasaki City Disaster Response Headquarters, enabling early and appropriate responses to lessen the threat of “three C” infection.
The 4 parties shall take measures to ensure safer evacuation while reducing the threat of COVID-19 infection on the basis of the wisdom obtained from this cash test. They also plan to examine the option of detecting congestion and reducing the threat of infection not only during herbal disasters, but also at facilities and occasions where giant crowds gather, as well as the applicability of evolved and evaluated technologies this time.