Vali deploys on top of your existing inspection cameras and flags hole, slub, stain, broken pick, float, and foreign-yarn defects in real time — before the roll leaves the mill.
Manual visual inspection on a moving line catches a fraction of what's there. The rest ends up as customer claims, returned rolls, or downgraded fabric sold at a loss.
Industry-average defect leakage on greige and finished fabric across woven mills.
Combined cost of rework, downgrading, and customer chargebacks for missed defects.
Defects detected late — after dye, finish, and cut — cost 5–10× more to address.
Vali learns the specific defects your mill produces — not a generic dataset. Add new defect types as they appear; the system adapts.
Pick a sample below. Vali analyses it the same way it would on a live line — and flags the defect class, location, and confidence.
No new hardware. Vali plugs into the inspection cameras you already have over the loom, finisher, or final inspection table.
Every mill has its own catalogue of defects. Vali learns yours from a handful of samples and improves as your operators correct it.
Runs at full production speed, not slowed by the camera or the model. Operators see flagged defects within a single roll length.
Flagged defects, locations, and roll IDs go straight into your existing quality management system — no parallel tooling for inspectors.
Across the six most common woven-fabric defect classes.
Inspectors move from spotting to verifying and triage.
From the first defect samples to a model running on your line.
We bring the cameras (or use yours), we tune the model on your defects, and we deploy on one line. You see the numbers before you commit.
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