How It Works
Computer vision that protects without identifying
Verso Vision uses off-the-shelf optical sensors combined with AI to continuously analyze patient movement and body position. The system identifies risk states — not people. No faces, no personal data, no biometric information is ever captured or stored.
When a risk pattern is detected, an alert is generated and sent to the nursing team in seconds — before a fall happens, or immediately when one occurs.
What the AI processes:
No identity, no face, no personal data — ever.
Live Status & Instant Alerts
Real-time visibility. Alerts in seconds.
Every patient place has a live status at all times — updated continuously as patients move. When a risk state is detected, Verso Vision sends an alert to nursing staff within seconds. No delay, no polling, no manual checks required.
Always live
Patient activity states update in real time — staff always have the full picture without entering the room.
Risk alerts in seconds
Risk states — such as a fall or risky movement — trigger an immediate alert to nursing staff within seconds of detection.
Camera sensor agnostic
Verso Vision works with a wide range of camera sensors — facilities have full flexibility in hardware choice with no lock-in.
In Bed
Patient resting in bed — standard state, updated live.
Sitting
Patient upright at the edge of bed or in chair.
Walking
Patient mobile within the room — tracked in real time.
In Bathroom
Patient in bathroom — duration visible, long stays flagged.
Fallen
Fall detected — immediate alert to staff within seconds.
Present
Patient in the room — status reflects patient presence.
Absent
Patient not detected — checked automatically if unexpected.
Offline
Sensor unavailable — staff notified immediately.
Pre-fall risk states — such as patient restlessness or risky bed-edge movement — also trigger early alerts, giving staff time to intervene before a fall occurs.
Patented Technology
A Patented Approach to Patient Monitoring
Many monitoring systems detect motion. They generate alerts, often without understanding the situation.
Our patented approach goes further.
It automatically identifies who needs monitoring and understands patient activity in real time. By combining AI with context awareness, it distinguishes patients from staff and triggers alerts only when conditions truly indicate risk.
The system is designed with privacy at its core, operating without continuous human observation and in compliance with GDPR requirements.
The outcome
Fewer false alarms
Faster response
Improved patient safety
Granted patents — US & EU
Covering our monitoring system and method for recognizing the activity of determined persons.
Privacy Architecture
GDPR compliant by design, not by policy
Privacy is built into the system’s architecture — not added as an afterthought. The AI processes visual data locally and anonymously, classifying patient states without ever capturing, storing, or transmitting identifiable imagery.
This makes Verso Vision safe for even the most sensitive clinical environments — including complex hospital wards, memory care units, and residential care homes.
No facial recognition
The system classifies movement and position, never identity.
Local processing
Visual data is analyzed locally — no raw video ever leaves the customer’s premises.
Fully GDPR compliant
Approved for clinical use across the EU including complex hospital environments.
See It In Action
A live walkthrough in our demo system
Book a demo and we’ll walk you through the live UI — showing exactly how the AI monitors, detects, and alerts your team, using our demo system.
Book a DemoContact Us
Book a demo or get in touch
Whether you’re ready to book a demo or just want to learn more — we’d love to hear from you. Typically respond within one business day.