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As a disaster is an unpredictable event, it may be tough to escape damage entirely even if evacuation drills are carried out periodically. In such a case, persons requiring evacuation assistance like aged people and disabled people are prone to be victims. For minimizing the damage, a fire department and a local government need to swiftly grasp the situation of the afflicted area in order to execute rescue operation. In this paper, to support the rescue operation, we propose a design and implementation of an Internet of Things (IoT) device to grasp the presence of persons requiring evacuation assistance. The IoT device captures Wi-Fi signal and packet from smartphones that victims have, and it then provides an estimated area for a presence of them. In the estimation of the area, we introduce three ways to select center of an area, i.e., random, average, and median selections. Through the experimental results, we showed that the average and the median selections make more accurate presence area than the random selection. Also, the system presented the visualization of the area to support the rescue operation.
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