Textile pilling grade
Predict an ISO pilling grade from a fabric image, with density and the features behind the call.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
What you get
The measurement, today
Pilling assessment compares an abraded swatch to reference photographs by eye. Grades drift between assessors and labs, and the rationale is never recorded.
What it costs
A grade below spec sends fabric back to finishing or out as seconds. Because assessors drift, the same roll can pass in one lab and fail in another, and that disagreement is expensive to settle with a customer.
From image to reviewed result
- 1
Upload the swatch
Drop a flatbed scan or macro photo of the abraded fabric. No fixed rig required.
- 2
Detect pills
A segmentation pass finds and outlines individual pills, separating them from weave texture and lint.
- 3
Grade to ISO
An EfficientNet-B0 classifier predicts the modified-Martindale grade, with pilling density per cm² alongside.
- 4
Explain the call
Grad-CAM highlights the regions that drove the grade; SHAP gives per-feature and per-stage contributions.
- 5
Review & log
Accept or adjust before the result is logged with the image, grade, density, and attribution attached.
Scope: Assists pilling assessment and QC review. It does not replace a certified human final grade unless validated for your fabrics.
Related applications
Composite fiber orientation
Fiber orientation, void content, and ply defects from polished sections and CT slices.
Fiber & inclusion analysis
Count and size fibers and inclusions, with area fraction and class breakdowns.
Polymer film & membrane defects
Pinholes, bubbles, scratches, and coverage uniformity for films and membranes.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
