The hot end produces faster than the cold end can inspect.
Glass packaging compounds errors. A mould drift at the IS-machine becomes a hundred bad bottles by lehr exit, and the cold-end inspector sees them only after the lehr has cooled them. Catching the drift at the source is the difference between one reject and a full mould cycle of scrap.
- 01IS-machine mould misalignment
- 02Parison shape and weight drift
- 03Rim and finish chipping at unloading
- 04Post-anneal surface defects
What our Glass packaging-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.