Intelligent Grading System for Egg Freshness Based on Machine Vision Technology
In order to detect the freshness of eggs intelligently,conveniently,non-destructive,and objec-tively,this paper designs an automatic grading system for egg freshness based on machine vision technol-ogy.The system uses image processing algorithms to intelligently read the egg weight displayed on the electronic scale and calculate the external physical characteristics of the egg(longitudinal diameter,transverse diameter,volume).Calculating density based on weight and volume,the study intelligently evaluates and grades the freshness of eggs based on the relationship between density changes and storage time.Eighty-seven egg samples produced at the same time were used as a model set for experimental modeling,and forty egg samples with different storage times were used as a test set to test the reliability of the system.The test results show that the average accuracy rate of the system for intelligent grading of egg freshness in the test set is 90.3%,which is a promising intelligent detection system for the poultry egg industry and can provide technical support for intelligent detection of various parameters of poultry eggs.
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