Application selection example

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 in-house example proposes 3 acceptance checks and 4 RFQ inputs. It does not report completed customer testing or achieved performance.

Continuous web and roll-to-roll inspectionWide-material defect detection route3 measurable checks before quote
Illustrative application visual: Roll-to-roll web defect inspection line with line scan camera
In-house worked example

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 Illustrative planning assumption: 3-5 week field-width, speed and line-light review
Hardware stack

Component candidates to review before a project-specific 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.

Worked examples explain the problem, assumptions, component candidates and evidence a project needs. Use these four fields to prepare a test plan for your own application.

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.
Proposed acceptance targets

Checks to agree and validate before a project-specific quote.

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

Sample information to provide for your own application.

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

Example boundary

This is a selection exercise, not an anonymized customer project.

These routes show how a selection decision is reached and what is checked before acceptance. Numeric values and planning windows are example targets, not achieved results or promised lead times. These are not audited performance figures, not a customer reference list, and not a claim that any particular buyer ran this route.

Not applicable. These routes are illustrative — worked examples of how a selection decision is reached, written in house. No engagement, buyer or site sits behind any of them, so there is no party whose permission could be sought. This is not a record of consent obtained; it is a record that consent has no subject here.

Application visuals are illustrative and are not offered as photographs of a customer installation. Numeric checks and planning windows are example targets, not measured outcomes or promised lead times.

Related product families

Start the hardware review with these component routes.

View all products

Related solution and selection pages

Where this case leads next.

View resources
Solution

Automated Visual Inspection

Build automated visual inspection systems for defect detection, presence checks, surface inspection, orientation, measurement and repeatable pass/fail output.

Resource

Line Scan Camera Lighting Setup

Plan line scan camera lighting by material width, web speed, exposure time, line light geometry, lens field width, encoder synchronization and edge-to-center uniformity.

Resource

Line Scan Camera vs Area Scan Camera

Compare line scan and area scan cameras by motion type, material width, defect size, encoder timing, lighting stability and integration risk.

Resource

Machine Vision Lighting Types

Compare ring, bar, dome, coaxial, backlight and line lighting types by surface behavior, defect contrast and installation constraints.

Resource

Line Scan Camera Explained

Plan line-scan inspection for moving web, roll-to-roll and continuous material by width, speed, encoder timing and line-light stability.

Resource

Line Scan Camera with Encoder Setup

Plan a line scan camera with encoder synchronization by web speed, pulse rate, roller diameter, line rate, exposure and image scale stability.

Resource

Line Scan Camera Price Guide

Understand line scan camera price drivers including sensor length, line rate, interface, lens, line light, encoder, controller and web-inspection scope.

Resource

Roll-to-Roll Film Defect Inspection with Line Scan Cameras

Plan roll-to-roll film defect inspection by web width, line scan camera route, line light uniformity, encoder timing, smallest defect and false reject control.

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
Proposed validation plan

Example checks to agree before hardware is recommended

Roll-to-Roll Web Defect Inspection — proposed checks, not achieved results. Illustrative planning assumption: 3-5 week field-width, speed and line-light review
# Proposed acceptance check to validate
1 Full material width mapped before sensor selection
2 Smallest defect target converted into pixel requirement
3 Edge and center illumination checked for uniformity

Application FAQ

Clarify the application route before selecting hardware.

Ask engineering
Is roll-to-roll web defect inspection a customer delivery record?

No. This is an in-house application selection example for continuous web and roll-to-roll inspection. No customer engagement, buyer or site sits behind it. The component route, sample requirements and numeric acceptance targets are proposals to validate, not achieved results.

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