Logs vary; sawyers compensate; yield walks.
Each log enters the headrig with a different taper, sweep, and core. Sawyers compensate by eye; over a shift the compensation drifts and so does yield. The compounding effect at the edger and trimmer makes the loss look downstream when the cause was upstream.
- 01Log mispositioned at the headrig
- 02Slab thickness drift across the cant
- 03Post-edger reject rate climbing
- 04Trimmer setting mismatched to grade
What our Sawmilling-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.
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