Asilla, Inc. (Headquarters: Machida, Tokyo; Representative Director, CEO and COO: Go Onoue; hereinafter "Asilla"), which develops and provides "asilla care" (hereinafter "asilla"), an AI monitoring system for nursing care and welfare facilities, under the mission "Toward a safe and comfortable world through the power of technology," is pleased to announce the launch of a proof-of-concept (PoC) using behavior-recognition AI for in-room monitoring at Fuji Hakuen Social Welfare Corporation (hereinafter "Fuji Hakuen").
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Labor shortages in nursing care settings have become increasingly severe, making it difficult to ensure the safety of every resident with limited staff. "In-room" spaces in particular are areas where monitoring is hard to reach due to privacy considerations, and falls or sudden health emergencies tend to be detected late. Because rooms are also closed-off spaces, maintaining a consistent quality of care is another challenge.
In this PoC, 24-hour monitoring powered by behavior-recognition AI will be introduced inside resident rooms, with the aim of achieving both stronger safety for residents and a reduced burden on care staff.
"asilla" will be deployed at a facility operated by Fuji Hakuen Social Welfare Corporation, where, in addition to common areas, in-room monitoring will be validated. This is Asilla's first initiative to verify in-room use of the technology.
The PoC will verify the effectiveness of the following four points.
While protecting privacy, AI detects unexpected falls in resident rooms and health emergencies such as prolonged lack of movement. By immediately notifying staff, the system prevents delays in detection in closed rooms and enables prompt rescue and response.
When items are lost inside a resident's room, camera data is leveraged as a record of who entered and exited the room, supporting rapid verification and recovery.
AI accurately captures "minor incidents" that occur just before they escalate into serious accidents.
In addition to nighttime monitoring and managing restricted-access areas, the system detects when residents approach exits, helping prevent elopement before it occurs. By catching early signs of accidents, the system helps suppress the occurrence of serious incidents.
By operating around the clock as a "second pair of eyes," AI alleviates the mental and physical monitoring burden on staff. The aim is to maintain a high level of safety even with limited personnel and create an environment in which staff can focus on direct, person-to-person care.
"asilla care" is a system in which AI analyzes existing security camera footage inside facilities in real time, quickly detecting anomalies such as resident falls, wandering, and unsteadiness. From an incident occurring to detection takes about one second, and detected events are immediately sent to staff smartphones and intercoms, so staff working at a distance or on other tasks can respond quickly. No new sensors or large-scale construction are required — the system can be added on top of the existing equipment environment.
Representative: Go Onoue, Representative Director, CEO and COO
Location: 1-4-2 Nakamachi, Machida, Tokyo
Business: Development and provision of various products and solutions based on behavior-recognition AI
Official website: https://jp.asilla.com/
Asilla, Inc. Public Relations: Nakamura
Email: pr@asilla.jp
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