Skip to content
E3TAM

Wood-grain classification for veneer-lot matching

Solution concept

Veneer panels can be similar in colour yet belong to straight, figured or mixed grain families. Colour difference alone does not solve appearance-lot matching.

Artificial intelligenceresearch-backed conceptraw image / analysis separationclass confidence gate
Information delivered

Add appearance class and the top-two score gap to the panel record; a panel matching the target lot advances and an uncertain one awaits operator assessment.

Wood-grain classification for veneer-lot matchingILLUSTRATIVE SIMULATION
Wood-grain classification for veneer-lot matching
  1. 01 Recipe
  2. 02 Raw image
  3. 03 Class scores
  4. 04 Confidence gate
  5. 05 Route
—

Load the class expected by the order.

Top class score
—
Top-two class gap
—
Hold for review
—

Scenes are illustrative simulations; they are not customer references or performance guarantees.

Solution approach

The controlled image ROI is classified; the raw image and C1/C2/C3 scores appear separately. The order class and confidence threshold are evaluated together. Register grain direction on the roller table and match texture ROI scores to the lot recipe. Hold a hybrid grain example on low confidence.

Process steps

  1. 01

    Recipe

    Load the class expected by the order.

  2. 02

    Raw image

    Trigger the specimen under fixed lighting and link the image to its ROI.

  3. 03

    Class scores

    Reveal the three illustrative class scores as comparative bars.

  4. 04

    Confidence gate

    A low score becomes UNKNOWN; a confident wrong class is also not accepted.

  5. 05

    Route

    Release the accepted example and transfer the others to the review nest.

Vision system design

Let us assess your application together

We test your sample in our laboratory and report on resolution, optics and lighting selection.

+90 212 275 2280 – 81
Esentepe / İstanbul · İkitelli OSB Laboratory
Request Feasibility