After dark
Three in the morning.
No one is watching.
A fall never waits for daylight.
Most emergencies happen in the still of the night, or in the daytime when someone is alone.
The first moments after a fall
often decide the years that follow.
Night staff are stretched thin; no one can watch every room at once. Install cameras, and residents feel watched. Leave them out, and a fall goes unnoticed.
No one wants to be watched all day
A regular camera captures faces, expressions, the whole of daily life. Safety at the price of peace of mind. Is that worth it?
It detects motion, not surveillance footage
Time-of-Flight measures distance by the travel time of light. What it renders is a depth silhouette: physical features blur away, leaving only movement and posture.
Privacy does not have to cost anything
A ToF sensor is physically incapable of capturing an identifiable face. Not masked after the fact; it simply never gets captured
Some places were never meant to have cameras.
Changing rooms, restrooms, wards in the middle of the night. ToF produces no identifiable imagery yet still detects dangerous movement, covering both needs at once.
Fall Detected
Something changes in the frame. The AI knows this is not sitting down, not bending over. It is a fall.
Alert Sent
The alert goes out at once to the duty side. The ToF system judges the event and notifies on its own, buying golden response time.
Timeline and depth views are a scenario reconstruction; see actual output below.
The Alert Reaches the Nurse Station
Down the corridor, the pager on duty lights up. No one has to stare at screens all night; the system brings the event to a person.
Caregiver Arrives
ToF keeps sensing every room; staff appear only when they are needed.
DS362 / THE SYSTEM
Sensing the state of space and volume,
not surveillance
DS362 uses a Sony DepthSense sensor to capture 3D spatial information, retaining body outline, posture, and spatial distance without providing facial detail that identifies a person.
Key Specifications
- 640 × 480
- depth resolution
- 15 fps
- live depth stream
- 0.3–7.4 m
- working range
- IMX570
- Sony DepthSense
From Sensing to Response
Capture depth and identify posture and behaviour.
Receives the event and manages notification for the site: NAV5.0 retrieves event footage with AI search; the optional PMH-AMDRYZEN5300 server handles AI event analysis.
Act on the event source and time.
Image from LILIN ToF solution demonstration material. Specifications are based on DS362 product data. The corridor, room, and duty-station scenes on this page are re-enactments. Deployment can connect to PMH care management or NAV video management, depending on site requirements; the full workflow is shown in the official demonstration video.
03:16:08
No need to keep watch.
Leave it to ToF.
Caregivers no longer have to watch every room all night. Depth sensing notifies the duty station the moment a fall happens: fast, clean, and free of worry for residents and caregivers alike.