UC-11 · Match · classify · grade

Color & Texture Verification

When the customer says 'this batch isn't quite the right shade' — the customer is usually right. Color and texture verification quantifies what the eye notices. Lab-grade ΔE color measurement, AI-driven texture classification, batch-to-batch consistency tracking, all at line speed.

REC INSPXION H-04 LIVE INSPXION H-04 · COLOR & TEXTURE 300 SAMPLES/HR 0.2% MISS LIVE InspXion MASTER A B C SPEC ΔE2000 <0.5 SPECTRUM VIS+NIR CALIB NIST CLASSES TRAINED REJECT · ΔE 4.62 BATCHES 247 PASS 243 FAIL 4
Why it matters

Color disputes with customers are won and lost on evidence.

If your spec is 'matches master sample' and you have no per-batch color measurement, you have no defense when a customer rejects a delivery. Inline ΔE measurement gives you a number per batch — defensible in court if you need it.

Two paths to the same outcome

Retrofit, or build it in from the start.

Retrofit · use what you have

If you currently match colors by eye.

We add a calibrated color measurement station to your existing line. The station includes a NIST-traceable calibration target and a color-managed camera; ΔE values per part are logged to your existing quality system. The eye-match step continues for the borderline cases; the easy 95% becomes machine-verified.

  • NIST-traceable color calibration target included
  • Color-managed pipeline: sRGB · Adobe RGB · CIELAB
  • ΔE2000 measurement per part, batch averages auto-computed
  • Texture classifier trained on your specific patterns
  • Per-batch color report exportable as PDF or CSV
Greenfield · spec from scratch

If you're designing a color-critical process.

The IX-H/01 hyperspectral body is the metrology-grade tool for this — full visible spectrum across 400-700 nm at every pixel, plus NIR for dye penetration analysis. ΔE accuracy below 0.5 across the working envelope. Texture and pattern classification using the same hyperspectral data.

  • Hyperspectral capture: full 400-700 nm spectrum per pixel
  • NIR channel for sub-surface color and dye penetration
  • ΔE2000 accuracy <0.5 across the working envelope
  • Pattern + texture classification on the same capture
  • Pre-trained models: paint, fabric, wood, plastic, paper
How it works

Four steps from camera to verdict.

01

Calibrate

Calibration target imaged at start of shift. Color pipeline locks to NIST reference.

02

Measure

Each part imaged. ΔE computed against master per region of interest.

03

Classify

Texture / pattern classifier evaluates uniformity, defects, and pattern adherence.

04

Report

Pass / out-of-tolerance verdict to PLC. ΔE + texture metrics to quality system per part.

Compatible with

The InspXion stack for this use case.

Ready to put this into production?

Get a sized configuration in 48 hours.

Tell us your line, your existing equipment, and your tolerance window. We'll come back with a retrofit assessment, a greenfield specification, and a rough cost estimate within two business days.