Whether it's a fall at night or a stumble in the hallway,
MoniCare eliminates detection delay with alerts in under 8 seconds, and reduces the burden of proof through care records.
71% of night shifts operate without a nurse. Stories of finding a resident hours after a fall keep repeating across facilities.
Verdicts award damages exceeding USD 150K for fatal cases. Without objective evidence that staff responded immediately, every responsibility lands on the facility.
Share of falls among
incidents in care hospitals
Falls reported in 2023
across medical facilities
Potential damages
for fatal-case lawsuits
Each existing approach has a fatal gap. MoniCare fills those gaps with AI.
Refused or lost frequently. Can't detect falls outside the bed or anomalies in the corridor.
Detect nothing outside install positions. Bathrooms and corridors stay blind.
Post-hoc review only. Nobody's available to watch every screen live at night.
Vision AI watches 24/7, alerts the responsible staff the instant a fall is detected, and even generates the record.
Anomalous movement detected from a resident in room 302, floor 3. Care worker is attending to another room.
AI monitors rooms, corridors, and common areas 24/7
T+0s
8 algorithms + VLM verification confirm the fall
T+3–5s
Mobile, PC, hallway display, and LED — 4 channels simultaneously
within T+8s
Staff arrives and treats. Alert reception time auto-logged
T+1–3 min
Snapshot, VLM analysis, and treatment flow auto-saved
Record done
Instant receipt even while moving on site
Nurse-station monitor + audible alert
Large-screen display in corridor and nurse station
Blinks at the room entrance to pinpoint location instantly
AI analyzes skeletal coordinates to detect an unnatural standing motion. Compares against the resident's personal safety baseline to surface a risk score.
After primary algorithm detection, a VLM (video analysis AI) re-verifies the snapshot. Generates fall probability, severity, and recommended actions.
Mobile of the assigned care worker + nurse-station PC + hallway display + LED indicator → all fired at once. From detection to alert: under 8 seconds.
Arrival time and treatment-start time auto-logged. Timeline generated from alert receipt to arrival.
Snapshots before and after, VLM analysis results, alert history, and treatment notes are saved as a single audit report.
Undetected until the next round. Fracture, deteriorating condition. No record of the incident — proof is impossible.
Auto-alert the moment it happens. Staff on site within 3 minutes. Every step auto-recorded with timestamps.
Falls happening between 30-minute to 1-hour rounds go undetected until the next round
Night events get lost in handoff or recorded from memory after the fact
Composed from memory after the incident. Timestamps and content drift weakens proof
Without objective evidence of immediate response, responsibility lands on the facility
Cameras analyze constantly. No gap between night rounds
Dispatch, receipt, and acknowledgment logged with second-level timestamps
Detection → alert → response → treatment flows into a single connected record
Snapshot, VLM analysis, timeline, and treatment record can be exported as a report instantly
3F-302 · 3 connected cameras
Image sequence before and after the incident
Severity rationale and recommended action
Second-level event log
Materials submittable for municipal inspections, family disputes, and legal response are auto-packaged. Snapshot images + VLM analysis results + second-level timeline + treatment notes are exported as a single PDF.
Primary AI algorithm + secondary VLM re-confirmation manages on-site target accuracy
Pose, time-series, bed occupancy, and personal baselines analyzed together to reduce false positives
The same person is re-identified across cameras to track status in corridors and other rooms
On-device AI ensures personal data is never sent to external servers
Layout analysis, camera placement, scope confirmation
2–5 daysExisting CCTV integration or new installation
1–2 weeksPersonal baselines and alert thresholds optimized on site
1–2 weeksDashboard usage and alert-response procedures
2–3 daysRegular updates, remote support, retraining
OngoingDeployed across care hospitals, nursing homes, rehabilitation centers, day-and-night care centers, and municipal public facilities. Both on-premise and cloud are supported, and the deployment mode is selected to fit your security policy and network environment.
