Case studies

How Visolane improves quality inspection

See how AI vision inspection works for laundries, textile & apparel companies and industrial operations.

Laundries

Industrial workwear · hospitality linen

Catching stains and tears before linen reaches customers.

Challenge: Every item is checked by hand after washing. Standards vary between shifts and inspectors, so stained or torn items still reach customers, leading to complaints, rewash costs and lost contracts.
Solution: Cameras on the line inspect every item automatically and flag it for rewash, repair or discard right away, before folding and packing.

−62%

customer complaints

2 lines

fully covered in 6 weeks

100%

items inspected

Textile & apparel

Apparel manufacturer · textile

Challenge: Measuring garments by hand with a tape measure is slow and inconsistent. Results vary between inspectors, only a small sample gets checked, and paper or spreadsheet records make it hard to see which sizes, styles or suppliers cause problems.
Solution: The garment is laid flat at a camera station. Visolane measures it automatically and checks the results against the spec sheet tolerances. The inspector sees right away what is within or out of tolerance, and every result is logged.

Seconds

per garment, not minutes

Consistent

measuring points every time

Full

traceability by style, size & supplier

Industrial

Component manufacturer

Challenge: Visual inspection is done by people at the end of the line. It's slow, hard to scale, inconsistent and produces little usable data. Defects found late are expensive: scrap, rework, claims and unhappy customers.
Solution: In-line cameras measure key dimensions and detect scratches and dents on 100% of parts, with each result logged for root cause analysis.

−48%

escaped defects

< 1 s

inspection per part

Full

traceability by batch

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