CAM-229
The body number and the pack number do not match
Traceability gate. An unpainted body waits on its skid with the bonnet up. An operator in a white helmet and hi-vis holds a handheld reader and is scanning. To the right, two large labels face each other, each with its barcode: the VIN label with its order number and the battery pack label with its serial number. The two codes do not belong to the same unit. IRIS reads them and sees that they do not match.
Turn on IRIS Vision
AI-generated image
What IRIS understands
What it recognises in this scene
- VIN and order label
- battery pack label
- handheld code reader
- operator scanning at the station
- unpainted body on the skid
- parts container beside the station
What this camera measures
An alert says something is happening. The reading says how much.
- 2Labels read on this unit
- 1Codes that do not match
- 40 sTime since the alert
- 1People in shot
- 87Units cross-checked this shift
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 code read on the pack label does not match the VIN of the unit at the station
Then
- alert the traceability station with the camera, the time and the two codes read
- save a picture with both labels in the same frame
- hold the unit in the record until a matching pair is read
The instruction that set it up«Tell me if the number on the pack label does not match the VIN of the body at the station.»
What changes
What changes for whoever answers for the plant
If a pack is married to the wrong body, the error does not surface until somebody asks for the traceability record, and by then the car is on a ship. Doing the comparison at the station, with the body right there, turns a warranty claim into a two-minute trolley swap. The quality manager is also left with the picture of both labels together and the exact time, which is precisely what an audit asks for.
What people usually ask
Does IRIS identify the people at the station?
No. What happens here is that a code printed on a part label is read and compared with the production order. That is reading a number off a card, not recognising anybody. IRIS does not compare faces against any database and does not know who the operator in the picture is: it only sees that there is a person scanning at the station.
What happens if the label is dirty or bent?
If the code cannot be read, it is not invented. IRIS reports that it could not read it and leaves the image, so somebody reads it by hand or replaces the label. A failed-read alert is useful because it gets sorted at the station; a guessed number is not, because it surfaces months later when there is nothing left to look at.
Does this replace the plant’s traceability system?
No. The traceability system remains the one in charge and the one that stores the final pairing. IRIS works alongside it: it supplies the picture of both labels together and the exact minute of the read. In an audit, that photo is the proof that the comparison was made at the station, with the body right there, and not on paper months later.
Other cameras
See it for yourself
No extra alarms here. Just what needs looking at.
Not a recorded video, not an explanatory drawing: a summary of the real screen, with a different case every time it starts. There is a lot more behind it.
- The alert fires
- You open it
- You confirm or dismiss
Next step
How long does it take to find a hand played two hours ago?
12 cases: 9 raise an alert when something happens and 3 only measure. You see each image as it is, and then with what IRIS understands on top.
What does a shopping centre see beyond the visitor count?
12 cases: 4 raise an alert when something happens and 8 only measure. You see each image as it is, and then with what IRIS understands on top.
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 will say whether IRIS understands it, or not yet.
We reply the same working day.