Shell food freshness determination system based on density model and method of system

Abstract

The invention relates to the food field, in particular to a shell food freshness determination system based on a density model and a method of the system. A freshness weigher contains a two-dimensional code for software recognition, a groove for fixing food, a gradienter, a weighing disc for calculating the mass of the shell food and a positioning circle capable of estimating the size of the shell food. Freshness software (an APP, a wechat number, a microblog number and a cloude program) acquires an image through a phone camera under a normal daylight lamp (the illuminance is 100-160 Lux) and performs category recognition, mass recognition and size estimation of the shell food according to the acquired image. An automatic substituting and judging model has the advantage that intelligentilization, feedback real-time transformation and model control parameters can be updated in real time on the networking condition and is mainly used for real-time detection on the freshness of part of the shell food in daily life. Through resolving of the judging model set, a series of judging values and judging conclusions of the shell food freshness are obtained without needing to measure all specific indexes, and information is transmitted in real time. Judging results are judged through an indication interval with a certain confidence degree.

Description

technical field [0001] The invention relates to the field of food, in particular to a system and method for measuring the freshness of hard shell food based on a density model. Background technique [0002] At present, in the production of products, physiological and biochemical detection is used to track the changes of products over time, that is, through the weight loss rate, the physiological and biochemical changes of proteins, sugars, and fats, and the changes of six major nutrients such as vitamins. The basis is to obtain the detection result of the freshness of the fresh food. However, in the existing food freshness measurement system, the freshness of food cannot be automatically judged on the mobile terminal through the preset model. When computers are used for automatic identification of food freshness, there will be a series of problems in terms of judgment basis, model accuracy, food type, and extraction of effective information on food. First, the choice of jud...

AI Technical Summary

Problems solved by technology

However, in the existing food freshness measurement system, the freshness of food cannot be automatically judged on the mobile terminal through the preset model

When computers are used for automatic identification of food freshness, there will be a series of problems in terms of judgment basis, model accuracy, food type, and extraction of effective information on food. First, the choice of judgment basis is not clear, that is, which fresh Secondly, the accuracy of the model is poor, and it is urgent to build a model with higher accuracy; thirdly, it is not defined which foods can be judged by this method; finally, how to use mobile devices to effectively extract effective information on foods

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