Gan Pu tea fruit grading apparatus using machine vision technology, and method thereof

Abstract

The invention relates to a Gan Pu tea fruit grading apparatus using a machine vision technology, and a method thereof. The apparatus comprises a frame, a rotating disc arranged on the frame, a plurality of brackets arranged on the rotating disc, annularly arranged in an equally spaced manner and used for supporting packaged Gan Pu tea fruits, a variable frequency driving mechanism arranged on the frame and used for driving the rotating disc to rotate, a front industrial machine vision shooting device, a rear industrial machine vision shooting device and a top industrial machine vision shooting device which are arranged on the frame and used for acquiring the images of the packaged Gan Pu tea fruits supported on the bracket, an industrial machine vision controller for comparing the images acquired by the industrial machine vision shooting devices, and four discharging mechanisms arranged on the frame and used for correspondingly pushing out large, medium, small and unqualified Gan Pu tea fruits distinguished by the industrial machine vision controller, and the industrial machine vision controllers and all the discharging mechanisms are respectively connected with PLC arranged on the frame. The three-dimensional images of the Gan Pu tea fruits are acquired and compared, so the detection accuracy is high, and the problems of false detection and omission are solved in the invention.

Description

technical field [0001] The invention relates to the technical field of grading and outer packaging detection of agricultural products, in particular to a citrus pucha fruit grading device and method using machine vision technology. Background technique [0002] Existing machine vision grading devices for agricultural products all adopt the form of conveyor belts. These grading devices are mainly aimed at the large-scale post-harvest treatment of fruits and vegetables. Their structures are complex, the cost is high, and the conveying process of fruits and vegetables is not stable enough, which affects the grading effect to a certain extent. Moreover, most of the existing machine vision grading devices use plane images for surface detection. However, since the size and shape of citrus tea fruits are variable, it is necessary to simultaneously detect the size and appearance quality (including packaging integrity, package compactness, etc.) , labeling and crease uniformity), th...

AI Technical Summary

Problems solved by technology

These grading devices are mainly aimed at the large-scale post-harvest treatment of fruits and vegetables. Their structures are complex, the cost is high, and the conveying process of fruits and vegetables is not stable enough, which affects the grading effect to a certain extent.

Moreover, most of the existing machine vision grading devices use plane images for surface detection. However, since the size and shape of citrus tea fruits are variable, it is necessary to simultaneously detect the size and appearance quality (including packaging integrity, package compactness, etc.) , labeling and crease uniformity), the indicators to be detected are diverse and complex, and the technical requirements are high. Therefore, the existing machine vision grading devices that use plane images for surface detection cannot be used due to the limitations of their structure and use. Meet the technical requirements for effective grading of citrus tea fruit

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