On-line visual inspection and classification device and method for red grape fruit powder

Abstract

The invention discloses an online visual inspection grading device and method for red grape fruit powder, and relates to an online lossless automatic detection and grading technology for agriculturalproducts. The device comprises a detection grading object, i.e., the red grape fruit powder (9), and is provided with a clamping mechanism (1), background paper (2), a light house (3), guide rails (4), a photoelectric sensor (5), an industrial camera (6), a light source regulator (7), a light source (8), a single-chip controller (10) and a computer (11). The method comprises the following steps: 1, acquiring a red grape fruit powder image; 2, preprocessing the red grape fruit powder image; 3, establishing a red grape fruit powder detection model; 4, determining a grade of the red grape fruit powder. According to the invention, a machine vision technology is adopted, and automatic detection and grading of fruit powder of a whole bunch of red grapes can be completed; predecessors do not carry out detection grading research on the red grape fruit powder, and thus, the online visual inspection grading device and method for the red grape fruit powder have innovation; the online visual inspection grading device and method for the red grape fruit powder are high in efficiency, high in intelligence and uniform in grading standard, can implement lossless online detection and have a wide application prospect.

Description

technical field [0001] The invention relates to an on-line non-destructive automatic detection and grading technology for agricultural products, in particular to an on-line visual detection and grading device and method for red grape fruit powder. [0002] Specifically, the present invention utilizes machine vision technology to collect color images and near-infrared images of red grapes simultaneously, and performs a series of image preprocessing to obtain grayscale parameters of the R component, G component, and B component in the RGB space of the color image, Combining with the naked eye to judge the quality level of red grape fruit powder, an online detection model of red grape fruit powder area is established, and combined with the threshold value set by the grading standard, the detection and classification of red grape fruit powder quality is realized. Background technique [0003] The object red grape involved in the present invention is a hybrid variety cultivated i...

AI Technical Summary

Problems solved by technology

[0005] After retrieval, only quality grading models such as grape size and maturity have been established at home and abroad, and no online visual inspection and grading device and method for red grape fruit powder have been found so far.

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