Industry application

Textile and Web Inspection

Line scan and lighting routes for continuous web, fabric, film, paper and roll-to-roll inspection.

Inspection needs

What the system should handle in this environment.

  • Continuous motion imaging
  • Wide field of view
  • Defect contrast across material variation

Related solutions

Inspection solution pages that usually connect to this industry.

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Industry RFQ

Need an application route for textile and web inspection?

Send part images, sample defects, line speed, target accuracy and current station constraints.

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Industry FAQ

Common questions for textile and web inspection engineering teams.

Ask engineering
Which inspection route is usually reviewed first for textile and web inspection?

Review the production environment and failure mode first: Continuous motion imaging, Wide field of view, Defect contrast across material variation. Then map those needs to camera, lens, lighting, 3D, smart camera or barcode reader routes.

What information should I send before requesting a machine vision quote?

Send part photos or drawings, target defect or measurement goal, field of view, working distance, line speed, accuracy target, lighting limits and any current camera, lens, light, barcode reader or competitor model.

Do I need a 2D or 3D machine vision system?

Use 2D when contrast, edges, labels or position are enough to judge the part. Use 3D when height, profile, gap, volume, weld shape or surface geometry decides pass or fail.

How should I choose machine vision lighting?

Start from the defect and material surface instead of the camera model. Backlight helps edge measurement, coaxial and dome lighting help reflective surfaces, and bar or ring lighting often works for general presence and defect checks.

Can Deyi Vision support projects that reference Keyence, Cognex or other brand routes?

Deyi Vision is not affiliated with those brands. As a factory-direct machine vision source, we can map the inspection goal, model reference and production route to a component-level camera, lens, light, reader or smart-camera selection.