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Edge Video AnalyticsScenario

Elderly Care Monitoring

Fall radar and privacy-first care sensor

A room monitoring system for care homes that spots falls, long stays in the bathroom and calls for help, then alerts carers. Cameras cover open rooms, 60GHz radar covers bathrooms and bedrooms where cameras are unwelcome, and a microphone array listens for distress words and sounds. Video is processed on site and alerts carry only time, zone and alert type.

Healthcare

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Traditional Indian sitting room with sofas, a round coffee table, bookshelves and family photos on the walls — Photo: Afnan Amrohi 1987, CC BY 4.0, Wikimedia Commons. Shows the setting, not this installation.

95.8%: Fall recall averaged over six setups, on a 27-clip held-out test set
1.4 s: Average time from fall to alert, on the same test set
52.9% to 58.8%: Fall recall on an external test set with long shots and occlusion
< 500 ms: Mic array trigger time for crash sounds and SOS words (vendor spec)

Results reported by the design's authors on their own test setups. Yours depend on the site, so we confirm them in a pilot.

The problem

Why it matters.

Nurse rounds cannot watch residents around the clock, cloud camera feeds raise privacy concerns, and bathrooms and dark bedrooms stay blind to cameras.

The flow

From signal to action.

01SenseRoom sensingA reCamera or existing IP camera watches the room, radar senses presence and breathing in bathrooms, and a mic array listens for distress.
02DecideLocal detectionThe camera or an edge host runs pose estimation for falls, plus keyword spotting and sound event detection for audio.
03ConnectAlert messageOnly a small JSON alert leaves the room, over MQTT or a webhook, with time, zone and type and no images.
04PeopleCarer responseThe nurse station or care system receives the alert, and a two-way voice check-in can follow, escalating if there is no reply.

Deployment architecture

How it is wired.

The devices on site, what carries their data, where the decision is made and where the result goes.

01SenseOn site

reCamera Pro (2GB)1 per room
reCamera 2002 (8GB)
XIAO 60GHz mmWave Radar (MR60BHA2)
reSpeaker XVF38001 per distress kit

02ConnectCarries the data

RTSP
Wi-Fi

03DecideRuns the model

reComputer RK3588-401 per site
reComputer J3011 (Orin Nano 8GB)1 per distress kit
reComputer R2035-12
reComputer J4012
reComputer RK3576

04Your systemsWhere results land

MQTT
Home Assistant (MQTT discovery)
Webhook (HTTP POST)
Nurse call systems

How it works

Step by step.

01Mount each camera side-on, 2 to 3 m from the area it covers, and draw zones on the image with beds left outside.
02Fit radar in bathrooms and set how long a stay or a pause in vital signs should count as a problem.
03Place the mic array to pick up words like help along with thuds and groans.
04Detection runs on the camera or host, and a fall is confirmed over several frames before an alert is sent.
05Alerts reach the nurse call system, Home Assistant or a webhook, and staff go and check.

The hardware

What goes on site.

Items we stock can go straight in the bag. Everything else we source and quote with the installation.

reCamera Pro (2GB)All-in-one room camera with pose tracking1 per roomSourced on quote
reCamera 2002 (8GB)Camera for a single bed or zoneSourced on quote
XIAO 60GHz mmWave Radar (MR60BHA2)Camera-free presence and vital sign sensing for bathroomsSourced on quote
reSpeaker XVF3800Far-field 4-mic array for distress calls1 per distress kitSourced on quote
reComputer RK3588-40Detection host for existing IP cameras1 per siteSourced on quote
reComputer J3011 (Orin Nano 8GB)Host for keyword and sound event detection1 per distress kitSourced on quote
reComputer R2035-12Hailo-8 host for many low-resolution streamsSourced on quote
reComputer J4012Higher-capacity host with room for a local vision language modelSourced on quote
reComputer RK3576Small host for 1 to 3 streamsSourced on quote

Before you install

Cameras mounted side-on or at an angle, 2 to 3 m away, with shoulders and hips in view. Ceiling-mounted top-down views are not supported.
A LAN linking cameras and host, with the MQTT broker on the host. Internet is only needed to forward alerts outside.
Reasonable light in rooms covered by cameras. Dark bedrooms and bathrooms are better served by radar.
Power points near each camera, radar unit, mic array and host.
Time on site to draw zones and tune radar dwell settings for each room.

Good to know

It is not a medical device or certified emergency alarm. A person still has to assess and respond to every alert.
Fall recall dropped to between 52.9% and 58.8% on harder footage with wide shots and people partly hidden.
Radar timing is stated inconsistently (under 2 s in one table, over 15 minutes of bathroom dwell in the FAQ), so confirm the behaviour before relying on it.
Cameras in residents' rooms need clear consent and signage, which is why radar is offered for private spaces.

How we deliver it

Paper to site, one team.

01Site surveyWe walk the site, or review photos and drawings, and agree what to measure and where each device goes.
02PilotOne lane, one line or one room first. We tune it on your conditions and agree what good looks like.
03Roll outWe supply the hardware in India with GST invoices, install it, and connect it to the systems you already run.
04SupportSpares, remote checks and model updates, with one team to call when something changes.

Questions

Asked before buying.

Is any video sent to the cloud?

No. Video is processed in the building, and alerts carry only time, zone and type, with no images.

Can it cover bathrooms?

Yes, using the 60GHz radar, which senses presence and breathing without a camera.

Is this a certified medical alarm?

No. It is an alerting aid for staff, not a certified medical or emergency system.

Want this on your site?

Tell us the site and the problem. We come back with a pilot plan and a priced hardware list.

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