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Inspection of Flexible and Soft Materials

Inspection of flexible and soft materials where the part cannot be held flat: fabric, non-woven, foam, film and laminated material on a conveyor.

Solution Overview

Common challenges with flexible materials: the material moves, the texture misleads, and reflections are inconsistent

Quick answers

The flexible material AI visual inspection solution addresses the characteristics of soft materials such as fabric, leather, foam, film, and tape. Through pose constraint, switchable illumination, and adapted algorithms it identifies surface defects and structural defects, outputs OK/NG, interlocks with the production line, and replaces manual visual inspection.

"Flexible material" is not a material category but a class of Common Challenges the collective term. These materials share four characteristics: they deform, they are elastic, their texture is often random, and their surface reflection properties are inconsistent. These four points correspond respectively to four categories of engineering problem.

It deforms → the image changes and the same defect is sometimes there and sometimes not; it is elastic → the tension state affects its shape; the texture is random → a threshold method will inevitably produce many false calls; the reflection is inconsistent → a single illumination can hardly cover all defect types.

The value of this solution is not a universal algorithm, but rather systematizing how these problems are handled: pose constraint, tension control, multiple illumination combinations, and anomaly detection based on the distribution of normal samples.

inspection Content

Judgement Items This Solution Addresses

Flexible Material AI Visual Inspection Solution: Inspection Zone SchematicThe workpiece is divided into several inspection positions, each judged in turn before composing the part-level OK/NG conclusion.Workpiece (Illustrative)123456Each product is divided into 6 inspection positions according to the assembly drawing, and the conclusion for the whole part is combined from the position-by-position judgementsInspection position (ROI) judged qualifiedThis position NG → whole part judged NG
Inspection position (ROI) zoning diagram — Flexible material AI visual inspection solutions usually divide the inspection area position by position according to the assembly drawing; if any position is judged NG, the whole part is judged NG.
inspection itemJudgement ItemRemarks
Surface StainsOil spots, water marks and color patchesMust be distinguished from random texture
color difference Color differences between batches and between piecesRequires a stable light source and white balance reference
Holes and DamageHoles and tears visible in transmitted lightTransmitted Light Imaging
Scratches and IndentationsLinear damage, pitsLow-angle / stripe lighting
Wrinkles and DeformationWrinkling, tensile deformationShape-related defects, requires pose constraint support
Fuzz and FibersExposed fibers, protruding fibersDistinguished from normal fuzz
foreign matter Particles, adhesive beads, debrisDistinguished from material texture
Contour and DimensionsOutline, width, spacingMeasurement after positioning (optional)

inspection Method

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 Material Loading
  • 02 Pose constraint / tension control
  • 03 Multi-mode illumination imaging
  • 04 Datum positioning
  • 05 Defect inspection and classification
  • 06 Dimension and contour judgement (optional)
  • 07 Result Composition OK / NG
  • 08 NG Rejection or Marking
  • 09 Data Recording

Inspection Method Notes

The recommended engineering order for a flexible material solution is: solve the pose first, then the illumination, and tune the algorithm last. If the order is reversed, the situation arises where "no amount of algorithm tuning makes it stable" — because the input image itself is unstable, and no algorithm, however strong, can help.

Judgement and interlocking

Judgement thresholds for flexible materials cannot simply copy the approach used for rigid parts. Rigid parts allow absolute gray-scale thresholds, but the texture of flexible materials itself fluctuates, so the algorithm must first learn the "normal distribution of conforming products" and then identify regions that deviate significantly.

This comes with a precondition: A sufficient number of qualified samples is required take part in modeling. If there are only a few samples, no solution can guarantee stability.

  • Thresholds should be set from the distribution of qualified samples, not from absolute gray level
  • Defect grades must be defined together with the quality department
  • Pose constraint is a precondition for judgement stability
  • Insufficient qualified samples directly limit the ceiling of the solution

Related Inspections Objects and Applications

Applicable Industry

Common Question

Why is inspecting flexible materials harder than inspecting rigid parts?
Because the material itself is unstable in the image: it deforms, is elastic, has random texture, and reflects light inconsistently. Inspecting rigid parts is essentially "fixed input → fixed judgement", whereas flexible materials require solving the input stability problem as well.
How many qualified samples are needed?
There is no uniform number; it depends on how complex the material texture is and how subtle the defects are. The more random the texture and the more subtle the defect, the more samples are needed. It is recommended to run a small-batch validation first and use the actual data to assess how many samples need to be added.
How many materials can one machine cover?
The hardware is usually sufficient; the key is that the light source solution and the algorithm recipe must be configured separately. The greater the material differences, the more recipes need to be prepared. This is also why this type of equipment can cover many industries.
Are inspection results stable?
Stability rests on three conditions: "stable material pose + stable illumination + clear acceptance criteria". When all three are met, the consistency of visual inspection is clearly better than manual visual inspection; if any one of them is missing, stability suffers.
Can It Detect All Types of Defects?
No. Visual inspection has clear physical limits: a defect must have distinguishable features in the image. Internal defects, defects detectable only by touch, and dents of the same color as the material, for example, may not be detectable. At the solution stage we define clearly what can and cannot be inspected.
What Information Do You Need to Provide?
Recommended to provide: OK samples of the material (in sufficient quantity) and NG samples, the material specification and format, quantitative criteria for defect types, the line cycle time and loading method, and the on-site installation and communication conditions.

Submit sample testing

The ceiling of a solution for flexible materials is determined by the actual samples. Please provide sufficient OK samples and NG samples with defects, and we will validate imaging and judgement.

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      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

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        Tell us the workpiece, inspection requirements, production line cycle time and your existing PLC / communication method, and our solution engineers will recommend the inspection method, optical configuration and interlocking solution.

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