Fast line, strict hygiene — a single contaminant becomes a recall.
High-speed filling and packing lines run on tight tolerances. A single foreign object, a misseated cap, or a fill outside spec turns a productive shift into a recall investigation. The cost isn't a defective unit — it's the cohort downstream of the moment the defect started.
- 01Foreign object on the belt before the filler
- 02Cap or seal not seated to torque spec
- 03Label rotation outside the printable window
- 04Fill level deviation outside the SKU range
What our Food & beverage-specific AI agents are pre-trained to detect out of the box.
- Microstop
- Material jam
- Faulty machine movement
- Faulty material infeed
- Incorrect spacing
- Flawed intake
- Stuck material
- Machine running empty
- Placement errors
- Buffer over/underflows
- Line blockage
- Misaligned product
- Tipped product
Automate your vision-based workflows in days, not months.
- 01
Define critical areas
Outline the zones that matter on each feed — the fill point, the exclusion area, the stacked output — so the agent watches exactly where loss and risk show up.
- 02
Define visual triggers
Start from our pre-trained trigger library or train your own. A single stream can run several triggers at once, each watching for a different event.
- 03
Define actions and escalations
Set how the agent responds — a dispatcher ping, a logged event, or a closed-loop stop — and chain those into escalation paths from first alert to full intervention.
Let's look at your line together.
We'll walk through a representative case from your industry on video. Specific answers to specific questions.