Use Case
Elder Care Monitoring
Know they're okay — without cameras, and without anything to wear.
XiGiFy CareSense watches over the person, not the property. Radar-based sensing detects falls, tracks breathing and heart rate through the night, and learns each resident's daily rhythm — with no cameras in the room and nothing for them to wear or charge.
The problem
Checking in on an older parent shouldn't mean watching them
The usual options both ask for something people are unwilling to give. A camera trades away privacy in the one place someone should have it. A pendant or wristband only works when it is worn, charged and remembered — and the person most likely to forget is the person who most needs it.
So families settle for phone calls, and care homes settle for rounds. Between those checkpoints nobody knows whether a fall has happened, whether last night's breathing was laboured, or whether the daily routine has quietly begun to change — which is usually the first sign of decline and the easiest one to miss.
Issue → solution
What elder care actually fixes
The issue
A camera in a bedroom or bathroom is an unacceptable price for safety.
Hover to see the fix →
XiGiFy solution
Radar sensing reads presence, posture and movement without producing an image — the room is sensed, never seen.
The issue
Pendants and wristbands fail exactly when they matter most.
Hover to see the fix →
XiGiFy solution
Nothing to wear, nothing to charge, nothing to remember — the sensing lives in the room itself.
The issue
Someone living alone can lie on the floor for hours after a fall.
Hover to see the fix →
XiGiFy solution
Bed falls, seated falls and standing falls each raise an instant alert to family or the care centre.
The issue
Breathing and heart rate are only checked when a person visits.
Hover to see the fix →
XiGiFy solution
Respiratory rate and heart rate are captured continuously through the night, with no contact and no wearable.
The issue
Night-time restlessness and poor sleep go unreported.
Hover to see the fix →
XiGiFy solution
Sleep disturbance and overnight movement are logged, so a bad week shows up as a pattern rather than an anecdote.
The issue
Gradual decline is only obvious in hindsight.
Hover to see the fix →
XiGiFy solution
The platform learns each resident's normal rhythm and flags the drift away from it, not just the emergency at the end of it.
The issue
In a care home, one carer cannot watch twenty residents at once.
Hover to see the fix →
XiGiFy solution
Every room is monitored continuously and staff are called to the one that needs them — no ward round required to find out.
How it works
Sensing in the background, alerting only when it matters
- Step 01
Sense
Radar sensors in living and sleeping areas detect presence, posture, movement and the fine chest motion of breathing — no camera, no microphone, no wearable.
- Presence, posture and movement in living and sleeping areas
- Contactless respiratory and heart rate, including overnight
- Radar only, so privacy is structural
- Step 02
Learn
Over the first weeks the platform builds each resident's baseline: when they usually rise, how much they move, how settled their nights are.
- Each resident's own daily rhythm becomes the reference
- Rise times, activity levels and overnight restlessness
- No generic threshold applied to everyone
- Step 03
XiGiFy Brain
Alert
A fall, or a clear departure from that baseline, raises an immediate alert to the family member or care team on call.
- Bed, seated and standing falls each detected
- Drift from the usual pattern surfaced early
- Routed to family, on-call staff or a health centre
- Step 04
Review
Activity, sleep and vital-sign trends are kept over time, so a care conversation can start from evidence rather than from a worried phone call.
- Sleep, activity and vital-sign trends kept over time
- Every monitored room in one view for care operators
- Attention drawn to the rooms that need it
Capabilities
What's included
24/7 fall detection
Bed falls, seated falls and standing falls are each detected and alerted the moment they happen.
Contactless vital signs
Respiratory rate and heart rate captured without a wearable, including continuously through the night.
Sleep and overnight insight
Restlessness, disturbance and overnight movement logged, so sleep quality becomes visible instead of guessed at.
Routine baseline learning
Each resident's own daily rhythm becomes the reference point, rather than a generic threshold applied to everyone.
Anomaly flagging
Drift away from the established pattern is surfaced early, when it is still a conversation rather than an emergency.
Camera-free by design
Radar sensing means privacy is structural, not a setting someone could switch off.
Escalation to the right person
Alerts route to family members, on-call staff or a health centre, so nobody has to sit watching a feed.
Multi-resident oversight
A care operator sees every monitored room from one view, with attention drawn to the rooms that need it.
Use cases
Where this fits
- Older adults living independently at home
- Assisted-living and retirement residences
- Care homes monitoring many residents with limited night staff
- Families living far from an ageing parent
- Post-discharge recovery at home, where falls risk is elevated
- Respite and short-stay care needing rapid set-up
Deployment
Integrations & rollout
Runs on the same XiGiFy platform as the rest of the estate, so a care operator can oversee resident wellbeing alongside the building's own systems rather than in an unrelated tool.
Radar sensors are placed in living and sleeping areas. No cameras are installed and the resident wears nothing. The platform observes normal behaviour for an initial learning period before anomaly alerting becomes active, so alerts reflect that person rather than an average.
Works well with
Related use cases
Relevant industries
Where this use case is commonly applied
FAQ
Questions about elder care monitoring
See elder care monitoring on your own sites.
Tell us what you want to monitor and we'll walk you through how it would work for your facilities.