Fuji-chan: Ambient IoT display (prototype)

Monitoring the conditions of Japan's iconic Mount Fuji.
Current eruption warning level: 1


Fuji-chan was created as a way of visualising hazard information in an unconventional way. The device provides information visually through LEDs at the top (indicating temperature) and base (indicating volcanic eruption), with an aural alarm also for volcano eruption warnings. By communicating this information simply, virtually anyone can understand the warnings. We also hope that this device promotes the idea of an “Internet of Beautiful Things”, with IoT technology being applied to aesthetically pleasing interactive works.


The Fuji-chan device connects to our web server and retrieves weather and volcano eruption data every five seconds. Our application uses data from Weather Underground's API and Japan's Metereological Agency (JMA). If there is an eruption warning of level two or above for Mount Fuji, the alarm will sound and the base of the device emits a colour based on the warning level.

The colours for Fuji-chan's eruption levels are the same as those used by JMA for volcano eruption warnings. Cold and warm colours at the peak of the device are used to indicate temperature. We also have an iOS app called Katsukazan for active volcano warnings.


Fuji-chan was created by Paul Haimes, Hiroya Suda and Tetsuaki Baba from the IDEEA Lab at Tokyo Metropolitan University. The work was supported by a Kakenhi (Project number 15F15052) from the Japan Society for the Promotion of Science. Related research is listed below.

Back to top