The system is based on an IR CCD camera and data processing by artificial intelligence, and results can be monitored on mobile systems such as an iPhone. In addition to detecting large posture changes by patients such as sitting, standing or leaning against the handrail, as well as falling off the bed and other hazardous situations, Owlsight can also sense minute movements such as the rising and falling of the chest during breathing, thereby enabling staff to quickly respond to situations where a patient has fallen down or his or her body has become completely motionless. The system was developed and is distributed by Ideaquest Co., a spin-off of Keio University.

NEDO news release, Oct. 30, 2015