Accidents in care settings can occur in the gap between when staff are available and when care is needed. At night in particular, it is difficult to continuously observe every situation, as a limited number of staff must monitor multiple residents simultaneously. MoniCare is an AI-assisted safety management system that analyses CCTV footage using AI, detects residents’ risky movements in real time, and links them to staff alerts and response records.
AI-assisted safety management system, MoniCare
A real-time video analysis and alert system is needed to identify potentially dangerous situations, even when they are difficult for staff to see. MoniCare analyses real-time CCTV footage to detect risky movements such as leaving the bed, unstable postures and wandering. Detected situations are sent to staff as alerts, and the subsequent response process can also be recorded.
You can use your existing CCTV system
You do not necessarily need to replace your facility’s existing CCTV cameras to introduce MoniCare. We assess the camera resolution, shooting angle and installation location to determine whether integration with AI analysis is possible. Camera replacement or additional installation can be considered only for locations that are difficult to analyse with the existing cameras.
Link everything from detection to response through records
When a dangerous situation occurs, the detection time, alert delivery, staff confirmation and on-site response process can be recorded in chronological order. Snapshots before and after the incident, VLM analysis results and the event timeline can be reviewed together, enabling use for shift handovers, confirming the circumstances of an incident and maintaining facility operation records.
| Record item | Use |
|---|---|
| Time of dangerous situation detection | Confirm when the situation occurred |
| Staff alert | Confirm when the alert was delivered |
| Staff confirmation | Confirm whether the response has started |
| On-site response | Review the response process before and after the incident |
| Snapshot and VLM analysis results | Review the detected situation and analysis details |
| Event timeline | Review the entire response flow in chronological order |
Video is analysed within the facility
CCTV footage from care facilities may contain sensitive personal information, including residents’ appearances and details of their daily lives. MoniCare is designed to use an on-device approach that processes footage on servers or edge devices within the facility. Original footage is not transmitted to external cloud services, while snapshots and recorded data are also stored within the facility, with access permissions configurable according to user roles.
Reduces gaps in safety management during night-time care
MoniCare goes beyond simply checking CCTV by using AI to detect dangerous situations in footage and link them to staff alerts and response records. This helps staff quickly identify situations requiring their attention and systematically manage information from before and after an incident.