A visual detection device and method for the freshness of poultry eggs

Abstract

The invention discloses a visual inspection device and method for inspecting freshness of poultry eggs, and relates to the technical field of poultry egg processing and grading. The device is characterized in that a light source is arranged under a conveyor belt, a dark box is arranged over the conveyor belt, and the top center of the dark box is provided with an industrial camera; the light source irradiates the poultry eggs placed on the conveyor belt through a gap of the conveyor belt, and the industrial camera is connected with a computer through a data line. The method comprises the following steps: (1) capturing a poultry egg image; (2) preprocessing the poultry egg image; (3) extracting the ratio of air chamber area to whole egg area, and taking the ratio as a characteristic parameter; (4) extracting other characteristic parameters; (5) establishing a model; and (6) distinguishing freshness. The device and the method inspect freshness through machine vision, are not captious to application environments, and have good application and promotion foreground; a method never used before is used for extraction of air chamber area, and works well; an SVM (Support Vector Machine) is used for grading, and accuracy is high; and the device and the method are efficient and highly intelligent, and can realize nondestructive inspection.

Description

technical field [0001] The invention relates to the technical field of poultry egg processing and grading, in particular to a visual detection device and method for the freshness of poultry eggs. Specifically, the present invention utilizes machine vision technology to collect color images of poultry eggs, and performs a series of image preprocessing to obtain parameters such as the air chamber height of poultry eggs, the R, G, and I component gray values ​​of color images, and simultaneously The freshness parameters required for modeling——Huff value, air chamber height, and egg yolk index—are obtained through experiments, and finally the model is established and graded by SVM, thereby realizing the freshness detection of poultry eggs. Background technique [0002] Poultry eggs have very high nutritional value, rich in protein, fat, multivitamins and trace elements, and are one of the important foods in people's daily life. During the processing of poultry eggs, its freshne...

AI Technical Summary

Problems solved by technology

[0006] 2. Using machine vision to extract the air cell height of eggs is mainly the extraction of a single egg. There is no program that can extract the air cells of all eggs, so it is difficult to apply these studies to practice

[0007] 3. The research on the freshness of eggs is mainly static, and it is difficult to realize batch detection

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