Capability Overview for Care Services
Ambient safety for nursing homes and home care — without cameras. Sense everything. See nothing.
What it is
Stillsense turns the ordinary Wi-Fi already present in a room into a privacy-preserving sense of what's happening in the space. It detects presence, movement, bed-exits, and falls in real time — with no camera, no microphone, and no wearable — and alerts the right carer when something matters. All sensing is computed on a small device in the home; no image is ever created.
What it does
| Capability | Status | Use in care |
|---|---|---|
| Presence detection | Available | Night supervision without physical rounds |
| Motion & activity | Available | Recognising the rhythm of a normal day; restlessness |
| Bed-exit & night activity | Available | Alerting on the highest-risk moment — rising alone at night |
| Fall detection | Available, under independent validation | Real-time fall alerts to staff |
| Whole-home coverage | Available, layout-dependent | Home-care coverage from few devices |
| Breathing-rate (sleep) | Roadmap, validation-gated | Not entering care use until clinically validated |
| Heart rate / posture | Not offered | Research-stage; not dependable enough for real homes |
Presence detection
AvailableNight supervision without physical rounds
Motion & activity
AvailableRecognising the rhythm of a normal day; restlessness
Bed-exit & night activity
AvailableAlerting on the highest-risk moment — rising alone at night
Fall detection
Available, under independent validationReal-time fall alerts to staff
Whole-home coverage
Available, layout-dependentHome-care coverage from few devices
Breathing-rate (sleep)
Roadmap, validation-gatedNot entering care use until clinically validated
Heart rate / posture
Not offeredResearch-stage; not dependable enough for real homes
We claim only what's in the “Available” rows. Fall detection carries an active independent validation study before any safety-grade guarantee.
Privacy at a glance
- No camera, no microphone, no recording — ever. No image is created, so none can be seen, stored, or leaked.
- Edge processing: inference happens on-device, in the home; the raw signal does not leave the room.
- Designed for the public-task lawful basis municipalities rely on (GDPR Art. 6(1)(e); health data Art. 9(2)), not fragile consent.
- DPIA-ready (personvernkonsekvensvurdering) — a reusable template is provided.
How it fits your service
- Alerts route to the response service (responstjeneste) and tools your teams already use.
- Built for journal/EPJ integration via the Velferdsteknologisk knutepunkt (VKP).
- Operates as a sensing layer alongside existing providers, not a replacement platform.
- One calm staff dashboard: clear status, clear alerts, no noise.
Cost & deployment
- Retrofits onto the Wi-Fi the home already has, plus a small, low-cost sensor.
- Minutes to set up per room — no construction, no cameras to position.
- Designed to avoid the NOK 20,000–40,000 per-room install cost typical of camera/radar supervision (source: Elektro 24-7, on Norwegian nursing-home digitalisation).
Funding fit
- Aligned with Helseteknologiordningen digital-supervision priorities; we support joint (inter-municipal) applications.
- Designed to start as a focused pilot (one ward or a handful of home-care users), then scale via framework agreements.
The value case
Digital supervision (digitalt tilsyn) is the welfare-technology solution with the largest documented municipal gains — an estimated NOK 1.1 billion/year, ~3.4 roles per municipality (KS / Oslo Economics, 2024). The benefit is proven; Stillsense is designed to make it affordable at the scale services actually need.
Evidence
Validation results, privacy documentation, and a security & compliance sheet are available.
Stillsense · Møre og Romsdal, Norway
This overview describes current capability honestly; capabilities labelled roadmap or not-offered are not available for purchase. © 2026 Stillsense.