Visual inspection classification device and method for appearance dimensions of group origin duck eggs

Abstract

The invention discloses a visual inspection classification device and method for appearance dimensions of group origin duck eggs, and relates to the technical field of egg processing classification. According to the structure of the device, a conveying belt and a light source are arranged on a device table, the duck eggs are arranged on the conveying belt, the light source is arranged below the conveying belt, and the light source irradiates the duck eggs through clearances between rollers on the conveying belt in a transmission mode. A dark box is arranged above the device table, an industrial camera is arranged in the right middle of the top of the dark box, and the height from a lens of the industrial camera to the face of the device table is 33 cm. An optoelectronic switch is arranged on the inner side of the dark box. The optoelectronic switch is connected with a single-chip microcomputer through a data line. The single-chip microcomputer and the industrial camera are respectively connected with a computer through data lines. The device and method can achieve automatic classification, the classification standards are unified, and classification is accurate. High efficiency and high intelligentization are achieved. Damage-free classification can be achieved, a machine is used for replacing human eyes, manual labor intensity is lowered, and good application and popularization prospects are achieved.

Description

technical field [0001] The invention relates to the technical field of poultry egg processing and grading, in particular to a visual detection and grading device and method for the appearance size of duck eggs in a group origin. Specifically, the present invention uses machine vision technology to perform a series of image processing on the images of duck eggs collected from the place of origin to obtain the four dimensions parameters of the volume, surface area, ellipticity and eccentricity of the duck eggs from the place of origin, and establishes a corresponding classification model. This realizes the grading of the shape size and flatness of duck eggs in the place of origin. Background technique [0002] Duck eggs have very high nutritional value and are favored by consumers. They are one of the main products of poultry egg production and consumption. Grading duck eggs can satisfy the diverse needs of different consumers to a great extent, and is more conducive to impro...

AI Technical Summary

Problems solved by technology

[0005] 1. It is limited to poultry eggs with a clean surface, and there is no detection of duck eggs from the place of origin with dirt, straw, feathers, etc. on the surface;

[0006] 2. It is mainly aimed at the detection and classification of single poultry eggs under static conditions, but there is no dynamic detection of duck eggs on the assembly line in the group origin;

[0007] 3. It has not been found to carefully classify duck eggs with different flatness levels, so as to eliminate abnormal eggs

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