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E3TAM

Fruit ripeness classes with low-confidence product hold

Solution concept

Several ripeness tones may coexist on one fruit skin; the colour of a single point does not represent its visual class. Mixed-tone products require uncertainty handling.

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

Record visual ripeness class and the review decision without inferring sugar level or internal quality. Hold a low-confidence fruit in a separate nest.

Fruit ripeness classes with low-confidence product holdILLUSTRATIVE SIMULATION
Fruit ripeness classes with low-confidence product hold
  1. 01 Recipe
  2. 02 Raw image
  3. 03 Class scores
  4. 04 Confidence gate
  5. 05 Route
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Load the class expected by the order.

Top class score
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Top-two class gap
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Hold for review
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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. Rollers rotate the fruit to present its surface ROI. Link visual class scores to the recipe; mixed tones take the UNKNOWN review route.

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

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

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