Station not covered
The system only knows whether the station is covered or not. It does not know who anyone is, or how long each person spends there. It alerts the supervisor so they can move someone.
Computer vision · Tailored
Cameras over the production area and an AI that checks what they see, throughout the whole shift. They don't look at people: they look at the station, the machine, the conveyor and the material. When something isn't right, the alert reaches whoever can fix it.
Alert to the line manager: station 4 is not covered and the input material is running out.
Illustrative example
What it detects
Each area is drawn with you during the visit. The camera only looks at what we agree it should look at.
The system only knows whether the station is covered or not. It does not know who anyone is, or how long each person spends there. It alerts the supervisor so they can move someone.
It sees that the machine is not working and logs it with its time. If you already have the control room, we will look into making the downtime appear there too.
It watches the material at the line input and alerts when it runs out, so it can be replenished before the line stops.
Product stuck, fallen, piled up or out of place: whatever you show us is not normal.
It measures whether product builds up in front of a machine, a sign that the next one is running slower.
How long the line was running, stopped or without material in each shift. Numbers by line, with no people's names.
How the alert arrives
An alert that does not reach whoever can fix it is useless. That is why we design it from the end backwards.
It watches a specific area: a station, a conveyor, the material input. Each area is drawn with you during the visit.
If what it sees is not normal for a period we agree with you, the alert reaches whoever can act, via the control room screen or the channel you choose. Waiting avoids alerting on every flicker.
A record is kept with the time and area: numbers and alerts, not video. It helps you see, by shift, where time is lost.
No hype
Available today
What already works is in production control.
Custom: we install and test it in your plant
Before installing a camera
A camera at work comes with rules. We explain how we approach it and what you need to do, so you can review it with your adviser from the outset.
LOPDGDD art. 89ET art. 20.3 and 64GDPR art. 35Regulation (EU) 2024/1689 art. 5 and Annex III
We review it with you and with your employment and data protection adviser. This is not legal advice or a guarantee of compliance: every plant is different. We explain it in more detail in Cameras and AI in the factory: what the law allows in Spain.
How we test it
We look at the line together, decide what you want to monitor and where the cameras would go.
We set up the minimum and test it with your real production, with its lighting, dust and shifts.
We remove false alarms, decide who gets notified for what and, if it works, we take it to another line.
Frequently asked questions
Normally not. Standard network cameras that are well placed are enough: position matters more than the model. During the visit we'll tell you how many and where.
Images are processed on the server. By default, alerts and numbers are stored. If you want to keep the image from an alert, we'll agree it with you with a short retention period.
It detects whether the workstation is occupied or not, not who occupies it. It doesn't identify anyone, doesn't count each person's time and doesn't score anyone.
It matters a lot: a camera that doesn't see well is no use. That's why we test it on the real line, under its conditions, before expanding.
Read more
AI for factories
The twenty-odd cases, by plant area and with their label.
ReadModule
The control room, the kiosk and the OEE that already work today.
ReadBlog
What the law says about cameras at work and about the AI that analyses them.
ReadLow budget, no commitment
A short video call to understand what is stopping you, where and why. Then a written proposal with what we would do, where the AI would run and how much it would cost. No commitment.