Automatic grading device for red globe grapes based on machine vision and method thereof

Abstract

The invention discloses an automatic grading device for red globe grapes based on a machine vision and a method thereof, relating to the technical field of fruit grading. The structure of the device is as follows: an airtight box and a lamp box are connected up and down to form an integral body, a circular hole is formed in a clapboard between the two boxes; a tablet computer is arranged on the sidewalls of the two boxes; an annular fluorescent lamp is internally arranged at the middle of the upper part of the lamp box, an industrial camera is internally arranged at the middle of the lower part of the airtight box, and a lens of an industrial camera rightly faces the circular hole; the industrial camera is connected with the tablet computer via a data wire; and the red globe grapes are placed in the lamp box. The automatic grading device and the method thereof disclosed by the invention can finish automatic grading by using a machine vision technology, as well as are uniform in standard, accurate in grading, high in efficiency due to the utilization of the computer for processing images, capable of realizing non-destructive testing grading, adaptive to the modern automatic detection industry due to a machine instead of human eyes, and good in application prospect and popularization prospect.

Description

technical field [0001] The invention relates to the technical field of fruit grading, in particular to a machine vision-based automatic grading device for red grapes and a method thereof. Specifically, the present invention uses machine vision technology to collect images of red grapes, and through a series of image processing, grades according to the size of a single particle of red grapes and the color of the whole bunch; it provides for the classification and market entry of red grapes A quick and effective means. Background technique [0002] For a long time, the classification of red grapes has relied on human visual judgment, which is highly subjective, and the classification work is boring and cumbersome; and because the classification standards come from human subjective judgments, different people have different standards of discrimination, so the classification error is relatively large. Big. [0003] There have been many researches on machine vision, especially ...

AI Technical Summary

Problems solved by technology

[0006] After retrieval, no domestic application of red grape automatic grading technology and sorting equipment in actual production has been found.

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