In Depth

Here’s everything IsMomOnTheFloor does, in depth.

The camera checking schedule

Here is one sample hour on one camera, drawn as a clock:

0 5 10 15 20 25 30 35 40 45 50 55 one hour
AI Level 1 — every 12 min AI Level 2 — every 12 min, offset extra checks during motion

Each camera is checked every 6 minutes, and even more often if motion detection is working. Night checks use the cameras’ infrared vision, so a dark room is still a checked room.

AI Level 1 checks every 12 minutes.

AI Level 2 also checks every 12 minutes, halfway between Level 1’s checks.

When a camera senses motion, extra checks happen as long as motion continues — in this example there was motion 20 minutes into the hour, and again 50 minutes into the hour.

If a camera is too far away to sense motion, or if motion detection is turned off in your Ring app, then the motion-activated camera checks (orange) will not happen, but the clockwork camera checks keep happening (blue & purple).

Two layers of AI

Different AI systems have different blind spots. Two independent sets of eyes see more than one.

AI Level 1

The Generalist

Finds most examples of someone on the floor, with a few false alarms.

AI Level 2

The Specialist

Finds some edge cases that Level 1 misses, but also generates more false alarms.

Variable Alert Strictness

Different strictness levels fit different needs.

Alert Strictness

Important: You want to know if someone is on the floor, but you don’t want too many false alarms. This controls that balance.

1 - Slightly strict
  1. Send an alert anytime an AI thinks someone is on the floor. Generates false alarms. Useful for testing.
  2. Look again before sending an alert. Far fewer false alarms. (the standard setting)
  3. Look twice before sending an alert. Even fewer false alarms.
  4. Compare with a broad-seeing AI before sending an alert. A small number of REAL cases will be ignored.
  5. Compare with a narrow-seeing AI before sending an alert. A more significant number of REAL cases will be ignored.

Before using Level 3 and especially Level 4, try moving the camera or de-cluttering the monitored area instead.

The AIs are amazing at analyzing images but they do make mistakes. Sometimes they see a person briefly on the floor to pick something up, which is real but you probably don’t want to be alerted about that. Sometimes when using night vision, the AIs will mistake a pile of pillows on the floor for a person... etc.

So we developed Alert Strictness: We ask the AIs to look multiple times, or to compare with each other, before sending an alert.

False alarms drop down to reasonable levels (few or zero) using Level 1 (the standard setting) or Level 2.

Any persistent false alarms that still get through can usually be corrected by moving a camera or de-cluttering the area being monitored.

And if that still does not work, then Level 3 and Level 4 usually remove those false alarms... but at the cost of NOT alerting you to some REAL cases of someone on the floor.

See examples of what Level 3 and Level 4 can miss.

Test it yourself, any time

Lie down and wait 1-6 minutes for an alert. Or start a test anytime on your account page:

Test the system

Get into position on the floor first, then press the button. We take an immediate look with the same checks as real monitoring, and you’ll get a TEST RESULT email either way — detected, not detected, or why we couldn’t check.

Test now — I’m on the floor

The actual control on your account page.

The test runs the real thing: a fresh image from each camera, judged by both AI levels, through the same alert path that real monitoring uses.

The TEST RESULT email shows each AI level’s verdict and the image we captured — so if a camera’s angle can’t see you on the floor behind the couch, you’ll know as quickly as possible.

This is useful any time you want to see what the camera sees and what the AIs perceive.

Emails that keep you posted

In addition to alerts, here are some other emails you’ll receive:

Once-a-day status email — positive proof that the system is up, so silence is never ambiguous.

A camera that goes quiet never goes quietly: you hear about it, once, and you hear when it’s back — no email bombardment in between.

Your account page keeps a record

A running record of recent checks — outcomes and times only, no images:

Recent activity

Last check: 4 minutes ago — no one on the floor

  • 2 hours ago: Camera “Living Room”: Test check: ALERT sent (possible person on the floor) AI Level 1: Someone might be on the floor AI Level 2: Someone might be on the floor
  • Yesterday: Camera “Kitchen”: Motion check: possible person on the floor — covered by the recent alert

The activity record on your account page.

Every check that saw something is recorded — when it ran, what triggered it (scheduled, motion, or a test), and what each AI level concluded. Routine all-clear checks just update the “last check” line.

It’s the answer to “is this thing actually working?” at a glance — and because we keep outcomes rather than pictures, checking on the system never means browsing photos of the home.

Also included

As many cameras as you like — each one checked independently, priced per camera.
Night coverage — checks continue in the dark using the cameras’ infrared night vision.
No new hardware — works with the Ring cameras you already own.
No humans look at images — we get a camera frame and pass it to our AI providers for instant analysis by machines.
Consent built in — recording the monitored person’s consent is part of setup, not an afterthought.
Billed through Ring — monthly, per camera, cancel any time in the Ring app.
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