Skip to content
E3TAM

Casting texture grades with uncertain-sample handling

Solution concept

Fine, coarse and heterogeneous textures on the same casting geometry can represent different quality grades; a geometry check alone does not resolve the texture distinction.

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

Log the texture class, top-two score gap and order match. Release the expected class; hold a wrong or uncertain class in the operator nest.

Casting texture grades with uncertain-sample handlingILLUSTRATIVE SIMULATION
Casting texture grades with uncertain-sample handling
  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. A rotary table presents three textures in the same ROI; low confidence on the mixed example becomes a separate reason to hold it.

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