Non-destructive automatic grading machine for jujube based on machine vision technology

Abstract

The invention relates to automation on-line no-wear detection grading equipment for red dates, and particularly discloses a no-wear automatic red date grader based on a machine vision technology. The no-wear automatic red date grader comprises a machine vision system, the no-wear automatic red date grader is characterized by comprising a running roller convey chain plate device (2), wherein a feed end of the running roller convey chain plate device (2) is provided with a feeding hopper (1), and an illumination and CCD (charge-coupled device) camera unit (5) of the machine vision system is installed above the running roller convey chain plate device (2); one side of the running roller convey chain plate device (2) arranged in back of the illumination and CCD camera unit (5) is provided with a plurality of classifying conveying channels (8), and the other side of the running roller convey chain plate device (2) is provided with an actuating mechanism; and the actuating mechanism is connected with an industrial controller (4) of the machine vision system. The no-wear automatic red date grader based on the machine vision technology, provided by the invention, can recognize and classify the red date fruits according to comprehensive indexes of the size, the shape and the color.

Description

technical field [0001] The invention relates to automatic online non-destructive detection and grading equipment for red dates, in particular to a non-destructive automatic grading machine for red dates based on machine vision technology. Background technique [0002] The fruit of jujube, that is, jujube fruit is a prolate spheroid, and the skin is thin, brittle and easy to damage. In order to facilitate the storage, packaging and sales of jujube fruit with high quality and high price, non-destructive testing and grading must be carried out after picking, that is, the damaged and diseased fruit should be removed, and Quickly grade according to size, shape, color and other indicators. At present, post-harvest fruits are mostly classified by machinery, and a small number of grading equipment based on machine vision technology are mostly developed for large-scale fruits (round fruits such as apples and citrus), and are not suitable for jujube fruits with smaller individuals and...

AI Technical Summary

Problems solved by technology

At present, post-harvest fruits are mostly classified by mechanical methods, and a small number of grading equipment based on machine vision technology are mostly developed for large-scale fruits (round fruits such as apples and citrus), and are not suitable for jujube fruits with smaller individuals and ellipsoidal shapes.

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