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BionicAdri

Computer vision · Tailored

Computer vision in production: it watches the line and alerts you when something isn't right

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.

Custom: we install and test it in your plant
Line 1 · exampleMorning shift
Station 3Staffed
Station 4Unstaffed
Machine BStopped
Material intakeRunning low

Alert to the line manager: station 4 is not covered and the input material is running out.

Illustrative example

What it detects

Six things it can monitor on a line

Each area is drawn with you during the visit. The camera only looks at what we agree it should look at.

Custom: we install and test it in your plant

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.

Custom: we install and test it in your plant

Machine stopped

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.

Custom: we install and test it in your plant

Material shortage before the line stops

It watches the material at the line input and alerts when it runs out, so it can be replenished before the line stops.

Custom: we install and test it in your plant

Line anomalies

Product stuck, fallen, piled up or out of place: whatever you show us is not normal.

Custom: we install and test it in your plant

Product build-up

It measures whether product builds up in front of a machine, a sign that the next one is running slower.

Custom: we install and test it in your plant

Shift summary

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

From the data to the person who can act

An alert that does not reach whoever can fix it is useless. That is why we design it from the end backwards.

  1. The camera sees

    It watches a specific area: a station, a conveyor, the material input. Each area is drawn with you during the visit.

  2. Wait and alert

    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.

  3. It is logged

    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

What works today and what is custom

Available today

  • Control room with the status of each machine via sensors or the operator's tablet.
  • Downtime with reason from the kiosk, and analysis by reason.
  • Shift OEE with declared quality.

What already works is in production control.

Custom: we install and test it in your plant

  • Real-time cameras over the line. Today the product does not analyse video.
  • Whether a station is covered or not, without knowing who is covering it.
  • Material at the input and line anomalies.
  • GPU server in your plant or in Europe.

Before installing a camera

Cameras in the plant, with clear rules

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.

How we test it

One line first, and then you decide

  1. We choose a line and a problem

    We look at the line together, decide what you want to monitor and where the cameras would go.

  2. Cameras and server on that line

    We set up the minimum and test it with your real production, with its lighting, dust and shifts.

  3. We adjust and you decide

    We remove false alarms, decide who gets notified for what and, if it works, we take it to another line.

Frequently asked questions

What we're usually asked

Do I need special cameras?

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.

Is video recorded?

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.

Does it detect the person who is not at their workstation?

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.

What about dust, steam or low light?

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.

Low budget, no commitment

Tell us about your line and we'll tell you what we'd set up

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.

[email protected]+34 604 87 17 35