Manual QC inspection is the bottleneck no one talks about — slow, inconsistent, expensive, and impossible to scale. A human inspector gets tired. They miss things at 3 AM. They can’t inspect 600 units per minute. Snoh Vision can.
Our AI performs pixel-level visual inspection on every single product passing through the line — detecting surface scratches, cracks, dents, colour deviations, dimensional mismatches, incorrect labelling, seal failures, and packaging anomalies at full production speed. Each defective item is flagged, photographed, categorised, and routed for rejection — while a clean report is pushed to your quality dashboard or ERP in real time.
Custom models are trained on your specific product and defect types, so the system learns exactly what “good” and “bad” looks like for your line.
How it works
- Inspects 100% of products at full production speed
- Detects scratches, cracks, dimensional errors, label issues
- Custom-trained on your specific product & defect types
- Flags and routes defective items for rejection automatically
- Pushes defect reports to QC dashboard or ERP in real time
- Tracks defect rate trends by shift, line, and product batch
Business outcomes
- 70% reduction in defective products reaching customers
- Consistent inspection quality 24/7 — no fatigue, no error
- Eliminate cost of manual QC headcount on routine checks
- Full traceability — every defect logged with visual evidence
Industries
- FMCG
- Pharma
- Electronics
- Automotive
- Packaging
- Textiles