Anonymized delivery case

Roll-to-Roll Web Defect Inspection

Application brief for continuous web, film, textile or paper defect inspection using line scan cameras and line lighting. This route includes 3 measurable checks and 4 project evidence items.

Continuous web and roll-to-roll inspectionWide-material defect detection route3 measurable checks before quote
Roll-to-roll web defect inspection line with line scan camera
NDA-safe anonymous delivery profile

Wide-material defect detection route

Best used when the inspection must cover moving film, paper, textile or sheet material without motion distortion.

Continuous web and roll-to-roll inspection 3-5 week field-width, speed and line-light review
Hardware stack

Component route reviewed before delivery-ready quote.

Line-scan cameraLine lightEncoder synchronizationIndustrial lens route
Inspection challenge

What makes this scenario difficult?

Wide moving material needs even illumination, encoder synchronization and enough line rate to avoid missing small defects.

Recommended route

Which component route should be reviewed first?

Use line scan cameras with line lighting, encoder input and field-width calculations before selecting sensor resolution and lens route.

Acceptance target

How should the result be validated?

Full material width mapped before sensor selection

Case decision frame

Use this route only after the production constraint is measurable.

Anonymous cases are useful when they show the problem, constraints, hardware stack and evidence needed for a repeatable RFQ. Use these four fields to compare your project.

Problem

Wide moving material needs even illumination, encoder synchronization and enough line rate to avoid missing small defects.

Production constraints

Full material width mapped before sensor selection Smallest defect target converted into pixel requirement

Hardware stack

Line-scan camera + Line light + Encoder synchronization + Industrial lens route

Next evidence to send

Material sample photos, Roll width and web-speed note, Defect-size target

Inspection workflow

Steps to validate this application route before hardware selection.

The right product family depends on measurable samples, line conditions and acceptance criteria. Use this workflow to move from application idea to testable project evidence.

  1. Measure material width and target defect size Measure web width, defect size, defect direction and the inspection area that must be covered.
  2. Confirm web speed and encoder strategy Confirm encoder availability, speed variation and line-rate margin before sensor selection.
  3. Test line light uniformity Test line-light uniformity from edge to center on the real material.
  4. Validate image stitching and defect threshold Validate stitching, threshold and defect classification on moving samples before acceptance.
Acceptance checks

What must be proven before the route is safe to quote.

  • Full material width mapped before sensor selection
  • Smallest defect target converted into pixel requirement
  • Edge and center illumination checked for uniformity
Sample evidence

Evidence Deyi Vision should review first.

Material sample photosRoll width and web-speed noteDefect-size targetEncoder or trigger note

Trust evidence

Why this page is anonymous instead of naming a customer.

Many inspection projects expose product defects, line speed and factory process details. Deyi Vision therefore publishes anonymized delivery evidence routes and keeps customer names, drawings and plant photos protected unless the buyer approves disclosure.

Related product families

Start the hardware review with these component routes.

View all products

Related solution and selection pages

Use these pages to expand the route before RFQ.

View resources

Application RFQ

Need a route for roll-to-roll web defect inspection?

Send sample images, line speed, tolerance and the current failure mode. We will map the application to camera, lighting, lens, reader, 3D or smart camera routes.

Request engineering RFQ

Application FAQ

Clarify the application route before selecting hardware.

Ask engineering
Is roll-to-roll web defect inspection a named customer case study?

No. This page is an anonymized delivery evidence route for continuous web and roll-to-roll inspection. It explains project type, hardware stack, sample evidence and measurable checks without claiming a named customer deployment.

What should I send for a roll-to-roll web defect inspection RFQ?

Send material sample photos, roll width and web-speed note, defect-size target, encoder or trigger note. Include good and bad samples whenever possible so engineering can test the route before recommending hardware.

Which product families are usually involved?

Line Scan Cameras, Machine Vision Lighting, Machine Vision Lenses are the first product families to review, but the final route depends on sample images, speed, tolerance and installation space.

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.

Contact

Direct RFQ contact

Talk to engineering about the inspection problem.

Send sample images, competitor model, FOV, working distance and line speed before model selection.

Target: selection brief within 24h
Send sample images