CAM-931
Frozen
A sunny corner at midday. Someone climbs a few steps with a briefcase, someone else walks toward the crosswalk, a third person is halfway across it, a dark station wagon waits in the road and there’s a line of cars up the street. The picture is flawless: sharp, well exposed, full color. Look for the fault and you won’t find it, because it isn’t in the picture: it’s that the picture has been exactly the same for six hours. That person has been taking the same step for six hours. IRIS doesn’t look at whether the picture is good; it looks at whether it changes. This one doesn’t. What it can’t say is where it froze: the camera, the path or the recorder.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognizes in this scene
- picture that never changes
The rule
You decide once. IRIS applies it always.
If
a camera’s picture stops changing for longer than makes sense in that place
Then
- alert maintenance with the camera, the time of the last change and the video
- state the exact moment from which the same frame repeats
- keep checking it and report as soon as the picture starts moving again
The instruction that set it up«Tell me if a camera stops changing, even if it still shows as online.»
What changes
What changes for whoever answers for the cameras working
The light is green. On the list the camera shows as online. The disk is spinning and recording. And what it records is the same frame, over and over, six hours running. Anyone looking at the video wall sees nothing odd: they see a nice street. The trouble arrives weeks later, when somebody needs the video from four in the morning and it turns out nothing happened there, because nothing was recorded there. A camera can be in perfect shape and still not be telling you what’s going on, and it’s the hardest fault to catch by eye: nobody discovers by watching that a picture isn’t changing. IRIS does, because that’s exactly what it checks. The alert goes out in the first hour, not on the day the evidence is needed.
What people usually ask
If the picture is frozen, how does IRIS find out that it is frozen?
Because it doesn’t look at the picture: it looks at whether the picture changes. IRIS compares each frame with the one before. In a street something always changes: a shadow, a leaf, a car, the light itself. When hours go by with nothing changing at all, that isn’t a quiet street, it’s a stopped picture. And the alert doesn’t depend on the camera saying it is fine, because a frozen camera says it’s fine. It depends on the picture moving, which is the one thing that can’t be faked.
My panel says the camera is online. Does that mean it’s fine?
Online means that a signal is arriving, not that the signal carries a new picture. A frozen camera responds, transmits and records: it records the same frame. That’s why it can sit in the list marked as healthy and be of no use whatsoever. IRIS doesn’t ask the camera how it is; it looks at what the camera sends and checks whether it changes. That’s the difference between being connected and being able to see, and only the second one helps on the day the video is needed.
What if the scene really is still? A closed warehouse at night doesn’t change.
That’s exactly why you set the interval yourself, camera by camera and time band by time band. A intersection that doesn’t change in two minutes is already odd; a closed loading dock on a Sunday can look identical for hours and be perfectly healthy. And even with nobody about, a live picture is never identical to itself: the light shifts, the camera’s own noise shifts. What doesn’t vary by a single dot for hours isn’t a quiet scene. That’s the difference, and it’s why the two don’t get mixed up.
See it for yourself
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
Next step
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.
What does a venue with twenty thousand people inside see?
15 cases: 11 raise an alert when something happens and 4 only measure. You see each image as it is, and then with what IRIS understands on top.
And the best part
Nobody covers the night shift:the camera that is already on covers it.
It doesn’t tire, it doesn’t blink and it doesn’t go for coffee. What happens at night is understood just as it would be at midday, and whoever is on duty hears about it while it’s happening.
Tell us your problem and we’ll say whether IRIS understands it, or not yet.
A person answers, the same working day.