Welcome to Kunshan EEK Automation Equipment Co., Ltd.
Home/Materials /Fiberglass AI Visual Inspection Equipment

Fiberglass AI Visual Inspection Equipment

Fiberglass AI visual inspection equipment targets fiberglass cloth / mat, performing inline inspection of yarn breakage, missing weft, stains, thickness, fuzz, holes, poor overlap and other defects, with OK/NG output and production line interlocking.

Materials Overview

Transparent fiber + resin, with the focus on fuzz and overlap

Quick answers

Fiberglass AI visual inspection equipment images fiberglass fabric or mat; the algorithm identifies defects such as yarn breakage, missing weft, stains, thickness anomalies, fuzz, holes and poor overlap, outputs OK/NG results and interlocks with the production line.

Fiberglass cloth / mat is woven or laid from glass fiber; the fiber itself is nearly transparent with a silky sheen and is often combined with resin. Its difficulty is "transparent fiber + fuzz": fuzz is a single fiber standing up, with weak contrast against a nearly transparent background; poor overlap (misalignment when laying multiple plies) also requires alignment judgement.

Defects specific to fiberglass include yarn breakage, missing weft, stains (resin spots or oil stains), uneven thickness, fuzz, holes and poor lapping. Fuzz and yarn breakage affect the surface and strength of the subsequent part and are key items.

Inspection uses AI to build a model of the normal weave / web formation and judges yarn breakage, fuzz and lap offset as defects; changing the weave (plain / felt) mainly requires adjusting the recipe.

Applicable Type

Fiberglass Plain Weave

Focus on yarn breakage and missing weft

Fiberglass Mat

Laid-web structure, key points: thickness and fuzz

Fiberglass Composite

Resin-containing, the focus is on stains and overlaps

Fiberglass Rolls

Continuous material feed, line-scan full-width inspection

Fiberglass Cut Pieces

Already cut, inspected piece by piece with defect locating

Common defect

Defect TypesTypical ManifestationsInspection Focus Points
yarn breakageWarp / Weft BreakageCompare With Weave Pattern
Missing weftMissing Weft YarnWeft-direction Feature
stain Resin Spots, Oil StainsCompared against transparent background
Uneven ThicknessLocal Thickness VariationRegion Statistics
fuzzFilament LiftingWeak against near-transparent background
holeShort Shot or PenetrationTransmitted Light Is the Most Direct
Poor OverlapMulti-Layer MisalignmentRequires Alignment Datum
foreign matter Stray Fibers, ParticlesHigh-contrast Features

inspection Workflow

Complete chain from loading to judgment

Visual inspection judgement chainThe complete chain from image acquisition to OK/NG judgement and PLC interlocking.image acquisitiontrigger captureTarget Positioningtemplate matchingfeature recognitionAlgorithm JudgementResult JudgementOK / NGindustrial communicationPLC interlockingRelease OKRejection / NG AlarmEvery step's result retains the image and judgement item, for traceability and review
Inspection Judgement Chain — Acquisition → Positioning → Recognition → Judgment → Communication interlocking; the entire chain runs locally on the machine.
  • 01 Fiberglass loading / roll unwinding or cut-piece feeding
  • 02 Flattening and tension control
  • 03 Triggered Imaging
  • 04 Weave pattern / lay-up modeling
  • 05 Anomaly region segmentation
  • 06 Defect classification and grading
  • 07 Overlap alignment check
  • 08 Synthesized OK / NG
  • 09 Marking / rejection and image archiving

AI Inspection Principles

AI Visual Inspection Principles

Fiberglass inspection is difficult because of "transparent fiber + fuzz". The algorithm builds a model of the normal weave / laid web and classifies yarn breakage, missing weft, fuzz and lap offset as defects. Fuzz has weak contrast against a near-transparent background, so sufficient resolution and suitable illumination are needed.

For illumination, diffuse light gives uniform lighting to see stains and thickness; backlight is used for holes; low-angle light exposes fuzz and surface relief. With transparent fibers, reflection interference must be controlled.

For judgement, we recommend setting yarn breakage and fuzz as high priority and judging laps by offset tolerance. Specific thresholds must be confirmed by measured testing of OK / NG samples.

Applicable Industry

Applicable equipment

Common Question

Why is fuzz on glass fiber difficult to inspect?
Fuzz is a single fiberglass filament standing up; contrast is weak against a near-transparent background, and high resolution plus low-angle light are needed to form a clear image, subject to measured sample testing.
Is inspection the same for fiberglass cloth and fiberglass mat?
No. Fabric has a weave, so the focus is on yarn breakage and missing weft; felt is web-formed, so the focus is on thickness and fuzz. The model and illumination must be adjusted accordingly.
Can Poor Lapping Be Detected?
Yes. Establish a multilayer alignment datum, then compare the offset; anything exceeding the tolerance is judged abnormal, with the tolerance following the customer's acceptance criteria.
Can the internal resin condition be detected?
Surface vision can only see the visible surface; the internal state of the resin is not visible and requires other methods, which is outside the capability of this equipment.
What is the inspection accuracy?
To be added. Accuracy is determined by the field of view and camera resolution: pixel equivalent = FOV ÷ pixel count. First define the minimum defect size, then work back to the imaging solution and validate it by measurement with samples.
What samples are needed to develop a solution?
Provide OK and NG samples of different types such as fabric / felt, defect acceptance criteria, loading form and line cycle time.
Can It Be Integrated Into an Existing Production Line?
Yes. The system exchanges data with the PLC over I/O, TCP, RS485, Modbus, S7, Profinet and others, and outputs OK/NG to trigger rejection; the specific protocol depends on the site.

Submit sample testing

Send OK and NG samples of different types such as glass fiber cloth and glass fiber mat, and we will run measured tests on fuzz and overlap, and provide an illumination plan and judgement recommendations.

JPG / PNG supported, multiple files allowed
Each file must not exceed 20 MB
    JPG / PNG supported, multiple files allowed
    Each file must not exceed 20 MB
      JPG / PNG supported, multiple files allowed
      Each file must not exceed 20 MB
        A solution engineer will contact you within 1 business day after submission

        Need to assess imaging conditions, defect criteria and cycle time item by item? Go to the Full Requirement Assessment →

        Send Us Your Material and We Will Show You the Measured Results

        Provide several OK and NG samples of the material, and a solution engineer will run actual imaging and judgement tests on the equipment to give a workable inspection configuration recommendation, rather than reading the datasheet alone.

        Online support WhatsApp
        WeChat
        Scan the QR code to add us on WeChat
        Call us Back to top