CAM-244
A copper coil mounted on a steel line
Morning shift on the slitting line. Mounted on the uncoiler there’s a coil the color of copper. Every other coil in the yard, stacked at the back on wooden blocks, is gray and shiny: they’re steel. The line is already threaded and ready to run. An operator works at the control desk with his back to us and three colleagues in hard hats watch from the aisle; one is pointing at the coil. IRIS sees that the mounted material doesn’t look like the rest.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognizes in this scene
- copper-colored coil on the uncoiler
- gray coils in the yard
- slitting line threaded and ready
- operator at the line control desk
- three operators looking at the coil
What this camera measures
An alert says something’s happening. The reading says how much.
- 5Coils visible in frame
- 1Coils that look different from the rest
- 3 minTime mounted on the uncoiler
- 4People in frame
- 08:15Time of the alert
The figures on this screen are an example from the illustration, not any client’s measurement.
The rule
You decide once. IRIS applies it always.
If
the material mounted on the uncoiler does not match the look of the one the active order calls for
Then
- alert the line supervisor before the machine starts up
- save the photo of the mounted coil with the time and the camera number
- ask someone to confirm the reference against the material certificate
The instruction that set it up«Tell me if the coil mounted on the uncoiler does not look like the material on the active order.»
What changes
What changes for whoever answers for the plant
Starting up on the wrong material costs the whole coil, the scrap it turns into and the delay on the order. The mistake shows up at the end, when the sheet is already cut and the customer is waiting. With the camera the alert goes out before start-up: something is mounted that doesn’t look like the material on the order. A person checks it in a minute, with the picture and the time in front of them.
What people usually ask
Does IRIS know what metal the coil is?
No. IRIS tells things apart by how they look: color, shine and shape. It sees a copper-colored coil where every other one is gray, and that’s enough to raise a hand before start-up. The real composition is stated by the mill certificate or the material analysis, not by the camera. IRIS flags a visible difference; the confirmation comes from the lab.
And what if the right material looks like the wrong one?
Then the camera won’t see it, and that has to be said. Two steels of the same color and the same finish are identical to a picture. This alert works when the difference is visible: another color, another width, another format. Where the difference can’t be seen, you need the label, the certificate or the analysis, and IRIS doesn’t replace them.
Who decides which material each order takes?
The plant does. IRIS doesn’t write the rules: it is told what material each order expects and it compares what it sees against that. Nor does it act: it doesn’t block the machine or cancel an order. It alerts, with the picture and the time, so that a person can stop, look at the certificate and decide. What counts as an alert and what doesn’t is always written by the plant.
Other cameras
- CAM-240 · The line has stopped with a pallet jammed inside
- CAM-241 · The line is running, but a gap opens every few seconds
- CAM-242 · A mountain of parts has built up in front of one machine
- CAM-243 · The cell is ready and the bin is empty
- CAM-245 · A unit moves down the line with no cover on
- CAM-246 · The box takes the bypass and skips inspection
Demo · IRIS at work
This isn’t a video. It’s a slice of the real screen.
A summary of the real interface, played hands-free. You see one case from start to finish; what you don’t see are the other screens, and there are many.
- The hour, as a grid
- You look where it’s dark
- You jump to that minute
Next step
And who watches the cameras?
34 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.
Who watches the cameras of a whole city?
23 cases: 18 raise an alert when something happens and 5 only measure. You see each image as it is, and then with what IRIS understands on top.
And the best part
IRIS only sees what the camera shows.Where we don’t reach, we say so.
No software fixes a lens pointing the wrong way or covered in dust. Before promising anything, we say which cameras are in a state to see what you’re asking of them.
Tell us your problem and we’ll say whether IRIS understands it, or not yet.
A person answers, the same working day.