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Public transportIntrusion detection

CAM-87

Entering with the face covered

A person comes in through the street entrance with their face covered, among other passengers walking through at the same time. IRIS sees that the face is covered: it does not recognize faces and does not know who anybody is.

A person comes in through the street entrance with their face covered, among other passengers walking through at the same time. IRIS sees that the face is covered: it does not recognize faces and does not know who anybody is.
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AI-generated image

CAM-87 · STREET ACCESS · HOOD / MASK

What IRIS understands

What it recognizes in this scene

  • covered face
  • street entrance
  • passengers walking by

The rule

You decide once. IRIS applies it always.

If

a person comes in with their face covered

And alsoit is one of the entrances and one of the time bands the operator has marked

Then

  1. notify whoever watches that specific entrance, and nobody else
  2. tag the clip so it can be found later in the archive
  3. nothing else: no identifying, no matching against any list, no storing who anybody is
The instruction that set it up«At the service entrance, and only outside opening hours, tell me if someone comes in with their face covered.»

What changes

What changes for whoever runs the station

A covered face isn’t a reason to flag anybody. A mask in winter, a scarf, a hood in the rain: if this rule fired on every covered face in the station, the security lead would turn it off on day two, and he’d be right. Where it earns its place is narrowed down: one specific entrance with a rule of its own, one specific time band, or paired with another condition the operator picks. And above all it earns its place afterward, when somebody has to search the archive: instead of watching eight hours of one doorway, that manager types what he’s looking for and gets the clips.

What people usually ask

Does IRIS recognize faces?

No. Never. IRIS does no facial recognition, compares no face against any database and stores nobody’s identity. What it detects here’s a situation — there’s a covered face at an entrance — exactly as it detects a suitcase, a bicycle or a puddle. If what you want is a system that tells you who that person is, IRIS is not it and will not be.

So does IRIS flag every covered face?

No, and saying so matters. A mask, a scarf in January, a motorcycle helmet: there are a thousand ordinary reasons to have your face covered, which is why a rule that flags them all is a useless rule nobody leaves running for two days. This detection only makes sense in combination: at one specific entrance, in one specific time band, or alongside another condition set by whoever runs the station. On its own, it doesn’t get switched on.

What’s this detection actually good for?

For two concrete things. The first: entrances where a written rule already exists — a restricted access, a service door outside opening hours — where the station itself has already decided what’s and isn’t allowed. The second, and the one most used: searching afterward. When something has happened and you need to review who came through that door between two and three, having the archive tagged turns an afternoon’s work into a one-minute search. In neither case does IRIS say who anybody is.

The real interface, step by step

Everything comes in. Only what matters gets through.

This sums up what IRIS does with one alert, from the moment it appears until it’s closed. The real screen holds far more; this is the main thread.

  1. Four cameras at once
  2. Each understands its own view
  3. The numbers climb by themselves
IRIS NEURAL
30ES
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And the best part

Finding something in yesterday’s videoshould take as long as asking for it.

No more scrubbing back through six hours with your finger on the mouse. You type what you’re after, in plain words, and the matching moments come up. Same cameras as always.

Tell us your problem and we’ll say whether IRIS understands it, or not yet.

A person answers, the same working day.