Recruit Co., Ltd.

Ryuichiro Maezawa

Kazunori Okubo

Hironori Arakawa

Based on an idea that there is a correlation between the number of mobile terminalsdetected inside a facility (that is, a detected terminal count) and visitors of the facility, the number of users using the facility (that is, a crowd condition of the facility) is estimated using a WiFi function provided in the mobile terminals. Consequently, the crowd condition of the facility can simply be estimated while costs are suppressed to be low, compared to conventional methods in which, e.g., infrared modules or Web cameras are provided at entrances/exits of a facility to estimate a crowd condition.

Crowd condition estimation system, crowd condition estimation method and recording medium

A suspicious person detection technology which is less likely to cause a blind spot of detection of a suspicious person is provided. A suspicious person detection system detects a suspicious person present in a predetermined area and includes a probe request detection terminal () configured to detect a probe request transmitted from a mobile terminal () to generate probe information including first identification information specific to the mobile terminal which transmits the probe information, and an analyzing apparatus () configured to acquire the probe information from the probe request detection terminal, and, in the case where the first identification information included in the probe information matches none of one or more pieces of second identification information set in advance, transmit suspicious person information indicating that a suspicious person is detected to a predetermined information processing apparatus ().

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Tokyo, Japan

Ryuichiro Maezawa