A method for intelligent non-destructive detection of food nutrition content in dishes based on atlas data

Abstract

The invention provides a method for intelligently nondestructively detecting the nutritional content of dishes based on atlas data, comprising: acquiring image information of a solid object to be measured, and obtaining a first estimated volume of the solid object to be measured; acquiring spectral information of the solid object to be measured, and obtain the first estimated density of the solid object to be measured; obtain the first estimated mass and nutrient content of the solid object to be measured according to the first estimated volume and the first estimated density; obtain the second estimated volume of the liquid object to be measured through the first container obtaining the spectral information and the second estimated density of the liquid object to be measured; obtaining the second estimated mass and nutrient content of the liquid object to be measured according to the second estimated volume and the second estimated density. The invention evaluates the volume of the food by image and spectrum technology, and then estimates the quality and nutrient content of the food according to the volume, and adopts the method of solid-liquid separation to realize the separate measurement of the nutrient content of the solid and liquid food.

Description

technical field [0001] The invention relates to the technical field of food detection, in particular to a method for intelligently nondestructively detecting the nutritional content of dishes based on atlas data. Background technique [0002] Diet is the material basis for human health, survival and longevity. With the improvement of people's living standards, precision nutrition food has become a new growth point of people's demand for food. Cuisine is an indispensable food in people's daily food. Insufficient or excessive nutritional intake of daily food has an important impact on human health, especially diabetics, hypertensive patients, obesity and special groups. The content is detected in real time, the shape and composition of the dishes are complex, and the determination methods of the nutritional content in conventional dishes mostly use physical and chemical tests, which are labor-intensive, expensive, and inconvenient to use and promote. . Atlas technology has ...

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes an intelligent non-destructive detection method for the nutritional content of food dishes based on map data, which is used to solve the defect that the nutritional content of food dishes cannot be accurately detected in the prior art. When the liquid is in various forms, it is difficult to guarantee the accuracy of the measurement of the nutrition of the dishes. Through the comprehensive use of optical atlas technology, machine learning and data modeling algorithms, the identification of the types of dishes and food, the establishment of images and volume models of dishes, and the establishment of spectra and food volumes are realized. Density model establishment, spectral and dish food nutrition content model establishment several key issues, and the method of solid-liquid separation is used to realize the separate measurement of solid and liquid dish food nutrition content, and then comprehensively estimate the quality and nutrition content of food dishes

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