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AI Visual Inspection Equipment for Mesh Fabric

AI visual inspection equipment for mesh fabric: inline inspection of regularly perforated fabrics for holes, dropped stitches, mesh deformation, pulled threads, stains, color difference and other defects, with OK/NG output and line linkage.

Materials Overview

Regular mesh holes are both a locating datum and a source of defect interference

Quick answers

The mesh fabric AI visual inspection equipment images fabric with a regular mesh, and the algorithm uses the mesh period as the reference to identify defects such as holes, dropped stitches, mesh deformation, pulled yarn, stains and color difference, outputting an OK/NG result and interlocking with the production line.

Mesh fabric (warp-knit mesh) has a surface of regularly arranged mesh openings whose size, shape and spacing are all regular. This is an advantage — the mesh period can serve directly as the locating datum; it is also the difficulty — holes, dropped stitches and mesh deformation all appear as "the regularity of the openings being broken", and must be distinguished from normal variation in opening morphology.

Common mesh fabric defects include holes (mesh openings joined or broken), dropped stitches (missing loops), mesh deformation (caused by stretching or weaving), pulled yarn (yarn drawn out), stains, and color difference. Mesh deformation is often caused by uneven tension, so loading must be stabilized first.

Mesh fabric is mostly used in footwear material, sporting goods, medical products and filtration. For inspection, AI builds a model of the normal mesh opening and local areas where the hole pattern is broken are judged as defects; transmitted-light imaging is the most direct way to see holes.

Applicable Type

Warp-knit Mesh Fabric

Regular mesh holes; the focus is on hole regularity

Sandwich Mesh Fabric

Multilayer structure, the focus is on interlayers and holes

Elastic Mesh Fabric

Highly elastic and easily deformed; positioning with anti-stretch control

Mesh Fabric Cut Pieces

Already cut, inspected piece by piece with defect locating

Mesh Fabric Roll Stock

Continuous material feed, line-scan full-width inspection

Common defect

Defect TypesTypical ManifestationsInspection Focus Points
holeHoles merge or break into openingsTransmitted Light Is the Most Direct
Dropped stitchesMissing loops, abnormal holesCompared against the mesh pitch
Mesh DeformationHoles stretched or abnormally shapedStabilize Tension First
SnagsYarn pull-out, exposed filamentsHigh-contrast Features
Stain / Oil SpotOil Stains, Color SpotsContrast Against Base Color
color difference Inconsistent shade within the same batchStable Color Reference
foreign matter Stray Fibers, ParticlesDistinguish From Mesh Openings
Selvedge defectsWeb-width edge chippingMust Cover Full Width

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 Mesh fabric loading / roll unwinding or cut-piece feeding
  • 02 Flattening and tension control
  • 03 Triggered imaging (transmissive option)
  • 04 Mesh hole cycle positioning
  • 05 Region segmentation and defect segmentation
  • 06 Defect classification and grading
  • 07 Dimension / contour judgement (optional)
  • 08 Synthesized OK / NG
  • 09 Marking / rejection and image archiving

AI Inspection Principles

AI Visual Inspection Principles

Mesh fabric inspection uses the "mesh period" as its datum. The algorithm builds a model of the normal mesh pattern and judges local areas that break the mesh pattern, such as holes, dropped stitches, and mesh deformation, as defects. The precondition is stable loading — stretching deforms the mesh and creates false calls.

For illumination, backlight / transmitted light highlights holes and the hole pattern; diffused light makes stains and color difference visible; low-angle light exposes pulled threads and surface relief. Stains on dark mesh fabric and holes on light mesh fabric need separate lighting setups.

For judgement, we recommend stabilizing the conveying tension and reducing stretching before running the algorithm. Mesh hole tolerance must be measured with OK / NG samples to avoid judging normal hole variation as a defect.

Applicable Industry

Applicable equipment

Common Question

Will mesh deformation cause a false call as a hole?
Yes, if loading tension deforms the holes. Tension must first be stabilized and stretching reduced, then compared against a normal hole model. The threshold must be confirmed by sample measurement.
Is Transmitted-Light Inspection the Most Effective for Holes?
Yes. Under backlight / transmitted light the difference between a hole and a normal mesh opening is most direct, making it the preferred illumination for mesh fabric holes. Stains and color difference use diffused light.
Can Elastic Mesh Fabric Be Inspected?
Yes, but highly elastic materials place higher demands on loading and positioning, and stretching must be prevented from deforming the holes. The hardware can be shared, and mainly the tension and the recipe are adjusted.
Can Multilayer Sandwich Mesh Fabric Be Inspected?
Surface mesh holes can be detected; interlayer problems that do not show on the surface are not visible and require other methods, which is outside this equipment's capability.
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 and colors, the defect acceptance criteria, feeding format and production 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 us OK and NG samples of mesh fabric in different types and colors, and we will run mesh opening modeling and defect measurements and provide illumination plan and tension control 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.

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