Project 02 · OmniVision

A watchful eye that
never leaves home.

Custom cameras through the home, all inference on a Mac on-site. OmniVision learns who's there and what they're doing — and the moment something is wrong, it acts. Footage never leaves the house.

← All projectsFig. — OmniVision

What it is

Elderly care, as it should be.

OmniVision brings the multimodality of modern AI — vision, sound, context — together with temporal inference and action-capable agents, and points all of it at elderly care, whether in a private home or a care facility. It becomes a 24/7 caretaker: it watches, understands what's happening over time, alerts the moment something is wrong, speaks with residents and carers, and keeps the context and the record of every single day.

Privacy First

All inference runs on a Mac in the home — no video ever leaves the house.

24/7

Always watching — reading scenes, people and context, and the meaning behind them.

Real Time

Alerts the moment something matters.

Personal

Learns each resident's routine and adapts to them.

How it works

It reads the room, not just the pixels.

01 · Activity

What's happening, and for how long.

Recognises actions — eating, sleeping, sitting, walking, cooking — and tracks how long each one lasts.

02 · Identity

Who is in the room.

Knows the resident, family, and carers apart — and notices someone who shouldn't be there.

03 · Routine

When the rhythm breaks.

Learns the normal day and flags deviations — a skipped meal, a restless night, a missed dose.

04 · Falls

The moment someone goes down.

Catches a fall or a collapse the instant it happens, and escalates without waiting to be asked.

05 · Situations

The small things that matter.

Flags a door or window left open, a stove left on, a walker left out of reach.

06 · For carers

The day, summarised.

Turns hours of awareness into a calm summary — what happened, and what needs a look.

The system

Cameras in the home. The brain on-site.

Step 01 · See

Bring almost any camera.

No walled garden. Unlike closed systems like Nest or Alarm.com, OmniVision works with any camera that streams 1080p or higher over HDMI — we recommend models we trust, but you can keep what you already own. Resolution and frame rate drive both the cost and the accuracy of inference, so we set each feed's refresh rate to exactly what its room needs to watch.

Any HDMI camera · 1080p and upHDMI

Step 02 · Understand

The brain stays in the building.

Every frame is understood on-site, in real time — the model runs locally, so raw video never has to leave the house. We run inference on Apple Silicon: the number and quality of your streams set the starting spec — a room or two on a Mac mini, a whole home on a Mac Studio — and compute stacks modularly as your needs grow.

Local inference · sized to your streams

It acts

It doesn't just watch.
It acts.

Action

OmniVision plugs into most of the communication, scheduling, time-management and admin tools a household already runs. It can message the family on WhatsApp, add the cleaner's visit to the calendar, or call the resident to check in — handling the small, constant work of care on its own, and looping in a human the moment one is needed.

powered by
…and more

Configure

Estimate your requirements
based on your needs.

Compute doesn't scale with how many cameras you have — it scales with how many the model is understanding at once. A light presence check runs on every camera; the heavy model only wakes where someone is. Describe the home and we'll work out the on-site Apple silicon, bought once, no cloud.

Cameras8

One per room or area you want covered.

Coverage

Heavy inference runs only in occupied rooms — far less compute.

Rooms active at once1

In a private home this is usually one. A care facility, several.

Resolution

Higher resolution helps fine detail like faces — at more compute.

How often it looks

a few looks a second.

What it does

detection, pose & fall models. Each adds to the load.

1 of 8 understood at once · gated

1× Mac Studio

M4 Max · 36GB · 1 active stream

on-device · MLX: YOLO11 · RTMPose · OpenClaw

Cameras8 × 1080p$1,040
Compute1× Mac Studio · 36GB$1,999
Poweron-site, continuous~100W
Estimated totalhardware · one-off$3,039

An estimate — we confirm the exact build with you. Footage never leaves the home.

Bring it home

Watching over the people who matter.

Independence for them, peace of mind for you — without a single frame of video leaving the house.

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