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The jobsiteIntrusion detection

CAM-57

Someone climbing the site fence

A fenced building site in the middle of the city, seen from above. At the corner of the timber construction fence a person is halfway up: one foot against the boards, both hands on the top edge. Inside you can see the debris dumpster, the churned-up ground and, further back, two workers in hard hats and safety vests. IRIS sees that a person is crossing the fence; it doesn’t know who they are.

A fenced building site in the middle of the city, seen from above. At the corner of the timber construction fence a person is halfway up: one foot against the boards, both hands on the top edge. Inside you can see the debris dumpster, the churned-up ground and, further back, two workers in hard hats and safety vests. IRIS sees that a person is crossing the fence; it doesn’t know who they are.
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AI-generated image

CAM-57 · SITE PERIMETER · FENCE CROSSED

What IRIS understands

What it recognizes in this scene

  • climbing the fence
  • site fence
  • debris dumpster
  • workers inside
  • barrier on the sidewalk

The rule

You decide once. IRIS applies it always.

If

a person crosses the perimeter fence somewhere that is not the gate

Then

  1. alert whoever is on duty right away, with the camera and the point of the fence they came through
  2. keep the video from before and after, to see where they went once inside the site
  3. log the point on the fence, because a way in that works once gets used again
The instruction that set it up«Tell me if someone climbs the fence or gets in where nobody is meant to, whatever time it is, and show me the camera so I know where they came through.»

What changes

What changes for whoever answers for the site

A site that has stopped for the day isn’t empty: it has open shafts, trenches, machines and stacked material. Whoever climbs the fence almost never knows what they’re walking into, and often it’s a teenager who came in for a look. Today you find out the next morning, when someone sees the fence pushed aside or notices material missing; if something worse happened, you find that out just as late. With IRIS, whoever is on duty gets the alert while it’s happening, with the camera and the exact point on the fence. There’s time to talk to the person who came in, to call whoever needs calling, and to make sure nobody is left inside a dark site. IRIS closes nothing and stops nothing: it warns, and a person decides.

What people usually ask

Does IRIS know who the person climbing the fence is?

No. IRIS doesn’t know who it is: it detects that a person is crossing the fence, and nothing else. It does not recognize faces, it does not compare them against any database and it does not store who anyone is. The alert says what happened, on which camera and at what time, and that’s enough for whoever is on duty to go and look. Putting a name to someone isn’t the camera’s job.

Won’t the alert fire for a cat or a plastic bag blowing past?

The alert doesn’t fire for a cat or a plastic bag, and the reason is that the rule gets tuned. It looks at the size of what crosses, where it crosses and how long it stays inside, and those three things are adjusted with the site running during the first days. That’s the most important part of the installation: if the alert arrives a hundred times a day, whoever is on duty switches it off within a week and then the camera is worth nothing.

And during the day, with the site working, doesn’t it alert constantly?

During the day, with the site working, the rule isn’t the same as at night. The fence is watched in time bands: during working hours it only alerts on someone crossing where nobody should cross, and outside working hours it alerts on anyone entering the perimeter. It’s the same camera with two different rules depending on the hour, and someone walking in through the gate at seven in the morning raises nothing. The site sets the time bands, not us.

Every simulation

Someone on the ground

Tell me if someone stays on the ground for more than twenty seconds and does not get up.

  1. The sentence
  2. Where it applies
  3. What it finds
  4. The same rule
IRIS NEURAL
30ES
IRISDirectoGrabacionesGISIncidencias3996SituaciónCasosLPRAutomatizacionesIRIS DATA
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IRIS · Infinity Neural

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.