Who watches the cameras of a whole city?
A city has thousands of cameras. IRIS understands them all.
We show twenty-three here: eighteen that raise an alert when something happens and five that alert nobody, they just count. A city has thousands, spread across the whole city. The system is exactly the same. And one thing before you go in: IRIS identifies nobody, recognizes no faces and accuses no one. It sees facts, timestamps them and hands them over with the camera and the hour. Whoever concludes is a person.
Without IRIS, this is just a city recording itself.
AI-generated image
A whole city, understood
A city government already has thousands of cameras across the city. They record all day and almost nobody watches them. When something happens, someone has to notice, report it and wait for the right team to arrive.
IRIS watches for them. It analyzes every camera continuously and only interrupts when a rule set by the city itself is met: a sinkhole, a fallen tree, a fight, a water leak.
The result isn’t more video to review. It’s an alert with the camera, the time, what happened and the footage, while it’s happening. Whoever decides what to do is a person, always. And not everything that matters is an alarm: sometimes what matters is a number. How many people walk down the main street, how long a queue lasts, how much a court gets used. That isn’t asked for in words: you draw a line or an area on the image, because a line can’t be described in a sentence, it has to be traced. That’s why Tuesday’s figure and Saturday’s are measured the same way and can be audited. And people counting is approved by the Centro Español de Metrología — Spain’s national metrology institute — through NeuralPax: what’s approved is that measurement, counting people, and nothing else. The approval is Spanish. It doesn’t stand in for a U.S. certification, and we don’t present it as one.
The real scale
Twenty-three here. Thousands out on the street.
This demo shows twenty-three cases because twenty-three fit on a screen. A real city has cameras at intersections, squares, parks, industrial parks, beaches, parking lots, markets, schools, treatment plants and tunnels. Thousands of them, and a few more every year. No person can watch them all; that’s exactly the problem IRIS solves: it analyzes however many there are, all at once, and only interrupts when a rule is met. And where there’s nothing to watch for, it counts: how many people go past, how much a court gets used, how many bikes stay in the lane.
Examples
These twenty-three are just examples.
Each one shows a different kind of thing. They aren’t the twenty-three things IRIS can do: they’re the ones that fit on a screen. Open any of them and you’ll see the image as it is, and then with what IRIS understands on top.
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.
- The rule gets built
- It goes to every camera
- Published, it watches alone
- And then it fires
Now think about yours
Imagine knowing all of that while the city keeps running.
A trash can that’s been overflowing for three days. A street light out at a crossing. Roadworks with no signs. A capacity limit blown on an August Saturday. How many people walk the main street and when. How many bikes use the cycle lane that was so hard to get built. A car double-parked outside a school for forty minutes.
All of that is happening right now, in front of cameras your city already owns and already paid for. And right now nobody knows, because there aren’t enough people to watch that many screens. IRIS watches them all at once and tells you when it happens, not the next day through a photo on social media.
What everyone asks
The ten questions that come up in every meeting.
Answered before you have to ask them, and answered in the first line. Straight, with no promises that fall apart in front of a camera.
Do I have to replace the cameras I already have on the street?
No, you don’t have to replace the cameras you already have on the street. IRIS connects to the feed of the IP cameras that are already installed and analyzes it: what changes isn’t the sensor, it’s what gets understood from the picture. During the project we check camera by camera whether the framing and quality are good enough for what you want to detect at that spot, and we tell you plainly which ones fall short. Replacing a camera is the exception, not the starting point.
How many cameras can IRIS analyze at once across a whole city?
IRIS analyzes at once every camera your installation has, including the thousands across an entire city. This demo shows twenty-three because twenty-three fit on a screen, not because that’s a ceiling. Real capacity is set by the hardware behind it, not by the software, and it’s sized during the project according to how many cameras there are and what each one is analyzing.
Does the video leave my premises or stay inside?
The video leaves or stays inside depending on the deployment you choose, and there are two of them. In the on-site mode it doesn’t leave: the servers sit in your building, the video comes in over your network, is analyzed in there, and the system doesn’t need internet to work. In the other one it is processed in our data center — which is our cloud, not somebody else’s — and then it does leave, encrypted and under the terms set in the contract. Most organizations mix the two: sensitive sites stay in, the rest goes out.
Does IRIS identify people or recognize faces?
No, IRIS does not identify people and does not recognize faces. It detects objects, behaviors and situations: a car parked on the sidewalk, a fall, a crowd building up, trash left outside the trash can. It puts no name to anyone and compares no face against any database. Counting by time slot is aggregated and anonymous: it says how many people passed through an area, never who they were. A counted person is a one: nothing else of them is kept.
How do I stop the control room ending up ignoring alerts because of false alarms?
You stop the control room ignoring alerts by tuning the rules with your operators, street by street, over the first few weeks. Let us start with the awkward part: yes, the system gets it wrong sometimes. Every detection system does, and anyone who says otherwise has never installed one. That’s why a rule is never a single condition: it combines what is seen, where it’s seen and how long it’s been there. Those three values are tuned with you until what reaches the screen is what your team wants to receive. An alert nobody acts on is a badly configured alert, and that can be fixed.
How long does it take to be up and running on the street?
How long it takes depends on the size of the installation, and we aren’t going to give you a date we can’t yet control. The work has three clear phases: connecting the cameras that already exist, drawing on each image the zones and rules that matter, and tuning those rules against what actually happens on the street. The first detections show up early; the fine tuning takes longer. Specific dates go in the proposal, once we know how many cameras there are and what you want to detect on each one.
Does IRIS replace my control room or the guards I have?
No, IRIS doesn’t replace your control room or your guards: it changes what they look at. Today one person sits in front of dozens of screens and can’t watch them all at once. With IRIS they stop watching everything and watch what matters, when it matters. The decision stays theirs: IRIS opens the camera, shows what it saw and waits. Who decides what to do is a person, always.
Can I use IRIS if I already have a VMS recording?
Yes, you can use IRIS if you already have a VMS recording: it lives alongside it instead of replacing it. IRIS is an NVMS, that is, the layer you are missing today: understanding what happens in front of the cameras and applying your rules. You can carry on recording and managing video where you do it now. What gets integrated, and how, is decided by looking at your actual system, not by promising up front that we fit with everything.
Can I put this on public streets without breaching data protection law?
You can, but compliance doesn’t depend on the software alone: it also depends on how you deploy it and what you decide to process, and that’s signed off by your organization, not by us. What we can tell you is that the processing is configurable piece by piece: what’s kept, for how long, who can access it and from where. And that our way of working is certified for information security and for privacy by an external auditing body. That paper isn’t signed by a salesperson: it’s signed by an auditor, and you can ask us for it before you sign anything.
How much does it cost to put IRIS on a city’s cameras?
You pay per camera. What it comes to depends on three things: how many cameras are analyzed, which deployment mode you choose, and whether the hardware is yours or ours. There’s no single price list that fits everyone, because analyzing twenty cameras in a park doesn’t cost the same as two thousand across a whole city. Tell us how many cameras you have and what you want to detect, and we’ll give you a figure. Write to hola@infinityneural.com. Or call Spain: 011 34 902 02 70 91.
Next step
Why did the line stop?
237 cases, and in every one of them IRIS raises an alert when something happens. You see each image as it is, and then with what it understands on top.
How many spaces are open right now?
15 cases: 9 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
With two screens you watch.With twenty you look without seeing.
It’s nobody’s fault: it happens to everyone. IRIS watches all twenty at once and only interrupts when something deserves a person’s attention.
Tell us your problem and we’ll say whether IRIS understands it, or not yet.
A person answers, the same working day.