Students and faculty members living on campus are suffering from congestion of restaurants, bus stops, and facilities every day.When using the cafeteria or heading to the bus stop, many people said that it would be convenient to know the current congestion status, so the Advanced Learning Technology Laboratory will inform you of the "now" congestion status of Kyushu University. Developed the system "K-now: Kyushu University Now".

　"K-now" uses a sensor called "AI Beacon *" developed by Addinte. By counting wireless devices such as smartphones and laptops that have come into contact with "AI Beacon", the congestion status around the sensor can be estimated.In addition, artificial intelligence will utilize past congestion data to predict subsequent congestion.

　By accessing the Web page provided by "K-now" from a smartphone or laptop computer, users can grasp the congestion status of cafeterias, bus stops, facilities, etc. on campus.Conversely, users can also return on-site congestion reports through web pages.

　In the future, we will improve the estimation accuracy of the congestion situation by performing log analysis to fill the gap between the congestion level estimated by the system and the congestion level felt by the user, and improve the congestion prediction performance in cooperation with related projects on campus. It is said that we will devise.

* "AI Beacon" is a terminal equipped with Wi-Fi and BLE functions as a unique communication module that uses smartphone short-range wireless communication technology.