CAM-108
Leaning out over the landing rail
The block in mid-morning: the tables area on the left, the row of cells on the right and an officer standing in the foreground with his back to us. Above, on the upper tier, a person is leaning over the railing, both hands on the handrail, body out past it, looking down at the floor of the block. People are walking directly underneath. IRIS sees a body out over the rail; it doesn’t know who it’s and doesn’t need to.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognizes in this scene
- person over rail
- upper rail
- floor below
- officer on floor
The rule
You decide once. IRIS applies it always.
If
a person’s body goes out past the handrail of the upper tier
Then
- alert the officer down in the block, with the camera and the stretch of railing
- open the live video of that stretch, so nobody goes up blind
- log the time and the stretch: the same spot coming up again and again is a problem with the spot, not with a person
The instruction that set it up«Tell me the moment somebody leans out over the upper tier rail or climbs onto it.»
What changes
What changes for whoever answers for the facility
Mid-morning on the wing, and the officer downstairs has twenty things in front of him at once: a query, a shift handover, two people arguing at the far table. Up on the tier, somebody is leaning out over the handrail. This isn’t about odd behavior or judging anyone: it’s about a height. Above that rail there’s a drop of twenty feet onto concrete. The facility writes the rule — which stretches, at which hours — and it’s about something you can see. With IRIS the alert reaches him with the exact stretch while it’s happening. Whoever goes up, whoever talks and whoever decides what to do is still a person.
What people usually ask
Is this unusual-behavior detection?
No, and the difference matters. IRIS doesn’t classify behavior, doesn’t score anyone and doesn’t decide what counts as normal on a block. What there’s here’s a concrete rule written by the facility about a concrete, visible situation: a body out past the handrail of the upper tier. Either you can see it or you can’t, and anyone watching the video can check whether the alert was right. A label like “unusual behavior” can’t be checked, and a machine has no business judging people; this can be checked, and it judges nobody.
Does IRIS know who is at the railing?
No. It does not recognize faces, does not compare them against any database, does not store who anyone is and does not follow a particular person around the block. It sees a body somewhere the facility has said no body should be, and it raises the alert. That’s why it’s no use for disciplining any individual: the alert says what’s happening and where, and the person who looks at the video and decides what to do is an officer.
Do you need a rule for every single thing that could happen on the block?
No, and trying would be a bad idea. A facility has three or four situations it genuinely wants to see on the cell block, and those get written one by one, in a sentence each, with their stretch and their hours. The rest is deliberately left out. A system that alerts on everything is a system nobody watches, and on a block that’s worse than having nothing.
Demo · IRIS at work
You set the rule once. IRIS applies it every time.
You will see a summary of the interface, played step by step and hands-free. Each round starts with another case. The complete tool doesn’t fit in a demo.
- The alert fires
- It lands in the tray
- You open it
- You confirm or dismiss
Next step
Who watches a whole station at rush hour?
17 cases: 11 raise an alert when something happens and 6 only measure. You see each image as it is, and then with what IRIS understands on top.
Who sees the sales that never reach the register?
10 cases: 4 raise an alert when something happens and 6 only measure. You see each image as it is, and then with what IRIS understands on top.
And the best part
A wall of monitors is impressive.Nobody can read forty tiles at once.
The more tiles there are, the less each one gets looked at. IRIS watches all four thousand cameras at once and points at a single one: the one that needs someone right now.
Tell us your problem and we’ll say whether IRIS understands it, or not yet.
A person answers, the same working day.