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US 12,678,828 B2Granted
Device and method for classifying fruits
AssigneeAIO Farm Corp.
InventorHojae Gwak
Life of this patent
Estimating the term…
Abstract
Disclosed is a device and method for identifying fruits that sorts fruits by sequentially sorting a plurality of fruits which are input, generating image data, determining the grade of each fruit based on the weight of the fruit, and determining a defective state or a normal state by using a defect feature certainty.
Claims12
A fruit identification device comprising:
- a fruit inserting unit configured to align a plurality of fruits in a row and to rotate the aligned fruits;
- a fruit sorting unit configured to sequentially classify the aligned fruits under control of a control unit;
- an image acquisition unit configured to generate pieces of image data for one fruit by sequentially capturing the rotated fruits;
- and
- wherein the control unit configured to:
- generate pieces of fruit image data by extracting only a fruit from the pieces of image data;
- segment each piece of fruit image data into a plurality of localized image fragments corresponding to different surface regions of the fruit;
- determine, using an artificial-intelligence model, a defect probability value for each of the localized image fragments;
- aggregate the defect probability values of the localized image fragments to generate a plurality of defect feature certainties for the fruit;
- compare the defect feature certainties with a predetermined reference defect feature certainty;
- determine that the fruit is in a defective state or a normal state based on the comparison result;
- determine a weight of the fruit by using the pieces of fruit image data;
- determine a grade of the fruit by using the weight of the fruit;
- when the fruit is in the defective state, move the fruit to a defective region through the fruit sorting unit, and generate a visual projection of defect regions onto the localized image fragments for display;
- and
- when the fruit is in the normal state, move the fruit to a normal region corresponding to the grade of the fruit among a plurality of normal regions through the fruit sorting unit.
13 more elements
A method for identifying a fruit, the method comprising:
- aligning, by a control unit, a plurality of fruits in a row and rotating the aligned fruits, through a fruit inserting unit;
- generating, by the control unit, pieces of image data for one fruit by sequentially capturing the rotated fruits through an image acquisition unit;
- generating, by the control unit, pieces of fruit image data by extracting only a fruit from the pieces of image data;
- segmenting, by the control unit, each piece of fruit image data into a plurality of localized image fragments corresponding to different surface regions of the fruit;
- determining, by the control unit and using an artificial-intelligence model, a defect probability value for each of the localized image fragments;
- aggregate, by the control unit, the defect probability values of the localized image fragments to generate a plurality of defect feature certainties for the fruit;
- compare, by the control unit, the defect feature certainties with a predetermined reference defect feature certainty;
- determine, by the control unit, that the fruit is in a defective state or a normal state based on the comparison result;
- determining, by the control unit, a weight of the fruit by using the pieces of fruit image data and determining a grade of the fruit by using the weight of the fruit;
- when the fruit is in the defective state, moving, by the control unit, the fruit to a defective region, and generating a visual projection of defect regions onto the localized image fragments for display;
- and
- when the fruit is in the normal state, moving, by the control unit, the fruit to a normal region corresponding to the grade of the fruit among a plurality of normal regions.
9 more elements
Dependencies are inferred from the claim text.