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[MoniCare] How can night-time safety management challenges in care homes be addressed?

Peace of mind at night with MoniCare

Current challenges in care homes

Accidents in care settings can occur due to gaps between staffing availability and moments when care is needed. This is especially challenging at night, when limited staff must monitor multiple residents simultaneously, making it difficult to continuously observe every situation. MoniCare is an AI-assisted safety management system that analyses CCTV footage with AI, detects residents’ risky movements in real time, and connects them to staff alerts and response records.

AI-assisted safety management system, MoniCare

How MoniCare works

A real-time video analysis and alert system is needed to identify potentially dangerous situations even when they are difficult for staff to observe directly. MoniCare analyses real-time CCTV footage to detect risky movements such as getting out of bed, unstable postures and wandering. Detected situations are sent as staff alerts, and the subsequent response process can also be recorded.

You can use your existing CCTV system

It is not necessary to replace a facility’s existing CCTV system to implement MoniCare. We check the cameras’ resolution, viewing angles and installation locations to determine whether they can be integrated with AI analysis. Camera replacement or additional installation can be considered only for locations that are difficult to analyse with the existing cameras.

Connect detection to response through records

When a risky situation occurs, the detection time, alert dispatch, 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, supporting shift handovers, confirmation of the incident details and facility operation records.

Record itemUse
Time of risky situation detectionCheck when the situation occurred
Staff alertCheck when the alert was delivered
Staff confirmationCheck whether the response began
On-site responseCheck the response process before and after the incident
Snapshots and VLM analysis resultsCheck the detected situation and analysis details
Event timelineReview the entire response flow in chronological order

Videos are analysed within the facility

CCTV footage in care facilities may contain sensitive personal information, including residents’ appearances and daily living details. 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, and snapshots and log data are also stored within the facility, with access permissions differentiated according to user roles.

Internal CCTV analysis

Reduces gaps in safety management during night-time care

MoniCare goes beyond simply checking CCTV by using AI to detect hazardous situations in the footage and link them to staff alerts and response records. This helps staff quickly identify situations that require attention and systematically manage information from before and after an incident.

How MoniCare works
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[MoniCare] How can night-time safety management challenges in care homes be addressed? — CLEVI