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Fuzz and Yarn Breakage Defect Visual Inspection

Fuzz and yarn breakage visual inspection: for raising, fuzz and yarn breakage on knitted, woven and denim fabrics, diffuse light forms a clear image of fiber anomalies, distinguishing normal raising from real yarn breakage.

defect Overview

Fabric surface fuzz and yarn anomalies, where the difficulty is distinguishing normal fuzzing from a true yarn breakage

Quick answers

Fuzz and yarn breakage are yarn anomalies on the fabric surface: fuzz is a raised single filament, while yarn breakage is a gap or loose end formed by a broken yarn. Under uniform diffuse light, raised fuzz produces a brightness and shadow different from the base fabric, while yarn breakage creates a local interruption in the texture. Machine vision judges them on this basis; the main risk is misjudging the fabric's normal slight fuzzing or nap as fuzz, so thresholds must be defined by the quality department together with the fabric type.

Fuzz and yarn breakage look different on the image. Fuzz is a single raised yarn that, under diffuse light, casts a thin shadow or shows a different brightness because it sits slightly higher, appearing as a diverging strand; yarn breakage is an interruption in the woven texture at some point, producing a gap, a knot, or loose yarn ends that break the originally regular direction of the weave.

These defects are most easily confused with the "normal nap". Knitted, raised and brushed fabrics already have a uniform pile, and the napping process deliberately creates a fuzzy hand. Judgement must know the "normal pile density and direction" of the fabric, and only areas that are abnormally dense, randomly oriented or interrupt the weave pattern should be judged as defects.

Another difficulty is the periodicity of the fabric texture. Both woven and knitted fabrics have regular patterns, so the texture period can be extracted first for registration, and local areas that break the period consistency (yarn breakage gaps, knots) can then be detected. For dark or highly reflective yarns, lighting must be controlled so that reflection does not mask the fine shadow cast by fuzz.

Occurrence Causes

Only when the cause is known can you decide which station should check for it

  • Weaving / finishing: insufficient yarn strength or uneven tension causing yarn breakage and floating yarn
  • Napping / sanding process: intentional fiber raising, but local over-napping or trapped broken ends
  • Downstream processing: cutting, sewing and ironing pull out fuzz
  • Normal nap: uniform pile on brushed and sanded fabric is normal and must be excluded
  • Transport friction: winding and stacking rub out loose fibers

imaging Key Points

Whether it can be detected depends first on whether it can be captured

Visual inspection of fuzz and yarn breakage defects: comparison of imaging on a normal surface versus a defective surfaceIllustration of the imaging differences in visual inspection of fuzz and yarn breakage defects, showing the distinction between the material's natural texture and real defects.NormalSurface texture regular, no anomaliesdefect Detects "fuzz / yarn breakage"Texture is regular → it can be modeled and suppressed; defects are irregular → only then can they be judged as anomaliesImaging conditions: diffused / low-angle / transmitted / stripe light must be selected according to the material's optical properties
Fuzz and Yarn Breakage Defect Visual Inspection | Imaging Comparison Schematic ——Left: a normal material surface (regular texture); right: the imaging result when fuzz / yarn breakage appears on the same type of surface. Actual judgement thresholds must be calibrated by measuring your OK / NG samples.

Uniform Diffused Light

Provides stable illumination so the fine shadow of raised fuzz stands out from the base fabric, suitable for fuzz-type defects

Low-Angle Light

Grazing light magnifies the height projection of fuzz, improving the visibility of fine fibers

Texture Registration

Extract the weave period first, then detect yarn breakage gaps that break the period consistency

Color Contrast

Adjust white balance for light and dark yarns to keep reflection from hiding fuzz

judgement Method

The judgement is based on "abnormal local fuzz density/direction" and "interruption of the weave period". First establish the normal fuzz baseline for that fabric, then make a significance judgement on the areas that deviate from the baseline; for yarn breakage, focus on where the weave period is broken.

Threshold bias: light fuzz can be released on appearance parts but may be unacceptable on lamination/covering surfaces, and the costs are asymmetric, so the judgement line should be defined by the quality department according to fabric and end use and saved with the recipe. Distinguishing normal fiber raising from abnormal fuzz relies on reference samples.

Judgement DimensionDescription
Fuzz DensityDeviation of local fuzz density relative to the normal datum
OrientationWhether the fuzz direction is disordered; normal nap direction is fairly consistent
Weave Pattern InterruptionLocation and length of texture period disruption caused by yarn breakage
PositionVisible surfaces and bonding / wrapping surfaces use different rejection criteria
Fabric DatumThe normal nap of raised, brushed fabric must be registered and excluded first

Applicable algorithm

Texture period analysis

Extract the weave period and register it to find yarn breakage that breaks period consistency

  • Suitable for regular woven / knitted fabrics
  • Notch and knot defects are easy to detect

Fuzz Saliency

Compare local fuzz density and direction anomalies against the normal datum

  • Needs OK samples to establish the datum
  • Rule out normal fuzz

Deep learning segmentation

Perform pixel-level segmentation on fuzz and yarn breakage that vary in form

  • Requires sample collection for training
  • Output position and dimension

Common Materials

Common Industry

Common Question

How do you distinguish fuzz from normal raised fibers?
Brushed and raised fabrics naturally have an even nap, which is normal. Judgement must first register the fabric's normal nap baseline and only classify areas with abnormal local density or disordered direction as fuzz.
What does a yarn breakage look like in the image?
The weave period is interrupted at some point, with a gap, knot or tangled yarn ends that break the originally regular weave direction; this can be detected by texture period analysis.
Is Fuzz Easy to Detect on Dark Fabric?
With dark or highly reflective yarn, reflection may mask the fine shadow of fuzz, so the illumination angle and white balance must be controlled, and low-angle light used where necessary to magnify the shadow.
Who Sets the Rejection Threshold for Fuzz?
The acceptability of slight fuzz differs between appearance parts and bonding surfaces; the specific threshold should be quantified and defined by the quality department according to the fabric and application, and the equipment provides adjustable parameters.
How does continuous roll inspection ensure no escapes?
The material travel line uses continuous imaging and texture registration, so yarn breakage gaps and periodic damage are compared continuously, but the maximum speed depends on the camera and cycle time and must be measured.
What Is the Thinnest Fuzz That Can Be Detected?
It depends on the field of view and camera resolution (pixel scale). To be added: the minimum detectable fuzz thickness must be measured for the actual site configuration; no universal figure can be given.
Does Switching to a Different Fabric Require Reconfiguration?
Yes. Weave period, normal nap feel and color all differ, so the corresponding reference and thresholds should be adapted by calling up the recipe.

Submit sample testing

Fuzz and yarn breakage inspection relies on the texture period and a nap reference to distinguish normal nap feel from a genuine yarn anomaly.

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        A solution engineer will contact you within 1 business day after submission

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        Send Us Your Defect Samples and We Will Measure Them and Show You the Results

        Whether a defect can be detected depends on whether imaging captures the defect features. Provide OK and NG samples and we will run actual imaging and judgement tests on the equipment.

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