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Intelligent nutrition collocation recommendation method and system and robot

A nutritional combination and intelligent technology, applied in nutrition control, instruments, computer components, etc., can solve the problems of single and lack of professional health knowledge channels, and achieve the improvement of experience, maintenance of dietary structure balance, strong convenience and practicality Effect

Inactive Publication Date: 2020-12-01
上海崛帆智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to people's lack of nutrition and health knowledge, the singleness of channels for obtaining professional health knowledge, and the scarcity of professional nutritionists, some health problems caused by improper diet are always testing and challenging our bodies.

Method used

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  • Intelligent nutrition collocation recommendation method and system and robot
  • Intelligent nutrition collocation recommendation method and system and robot
  • Intelligent nutrition collocation recommendation method and system and robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] figure 1 It is a schematic flow chart of the method for intelligent nutrition collocation recommendation provided in Embodiment 1 of the present invention, and the method includes the following steps:

[0031] S101: Obtain food information.

[0032] In one embodiment, a video of food can be captured by a camera, and a food image can be generated.

[0033] In an embodiment, the acquired information may also be food information input by the user's voice or food text information input manually.

[0034] S102: Process the acquired food information;

[0035] S103: Using a food identification model to identify the processed food information;

[0036] In one embodiment, the step of building the food recognition model includes:

[0037] Collect different food image samples;

[0038] Preprocessing the food image sample;

[0039] Using the preprocessed food image samples to train the pre-built deep convolutional neural network CNN to generate a food recognition model;

[0...

Embodiment 2

[0054] figure 2 It is a schematic structural diagram of a system for recommending intelligent nutrition collocations provided by Embodiment 2 of the present invention.

[0055] The system for intelligent nutrition collocation recommendation includes:

[0056] An acquisition module 21, configured to acquire food information;

[0057] A processing module 22, configured to process the acquired food information;

[0058] A recognition module 23, configured to use a food recognition model to recognize the processed food information;

[0059] Nutritional information generation module 24, according to the identification result, obtains the nutritional content of food, food efficacy and food diet category information;

[0060] The query module 25 is used to query the dietary category matching the food in the nutritional combination database according to the generated food and dietary category information, and generate an optional food nutritional combination that can be matched with...

Embodiment 3

[0067] image 3 It is a schematic structural diagram of the robot provided in the third embodiment of the present invention. Such as image 3 As shown, the robot 3 in this embodiment includes: a processor 30 , a memory 31 and a computer program 32 stored in the memory 31 and operable on the processor 30 . When the processor 30 executes the computer program 32, the steps in the first method embodiment above are realized. When the processor 30 executes the computer program 32, the functions of the modules in the above-mentioned device embodiments are realized.

[0068] The computer program 32 can be divided into one or more modules, and the one or more modules are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules may be a series of computer program instruction sets capable of accomplishing specific functions, and the instruction sets are used to describe the execution process of the computer program 32 in the ...

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PUM

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Abstract

The invention discloses an intelligent nutrition collocation recommendation method and system and a robot. The nutrition collocation recommendation method comprises the following steps: acquiring foodinformation, and processing the acquired food information; identifying the processed food information by using a food identification model; acquiring nutritional ingredients, eating efficacy and fooddietary category information of the food according to the identification result; according to the generated food dietary category information, inquiring a dietary category matched with the food in anutrition collocation database; and generating an optional food nutrition matching scheme which can be matched with the food and can meet a balanced diet mode, and recommending the food nutrition matching scheme. By identifying the food information, presenting the nutritional value of the food and intelligently recommending a scientific and reasonable nutrition matching scheme, people can maintaindietary structure balance and health, and the user experience can be improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, system and robot for intelligent nutrition collocation recommendation. Background technique [0002] With the development of social economy, people's living standards have been greatly improved, and the nutrition and health of diet have become the goals pursued by modern people. A balanced diet can meet the needs of normal human development and various physiological activities, and can also reduce the risk of various diseases, allowing people to have a strong body, abundant energy, and embrace a happy life. However, due to people's lack of nutrition and health knowledge, the singleness of access to professional health knowledge, and the scarcity of professional nutritionists, some health problems caused by improper diet are always testing and challenging our bodies. [0003] Therefore, if it is possible to intelligently recommend nutritious and ...

Claims

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Application Information

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IPC IPC(8): G16H20/60G06K9/00
CPCG16H20/60G06V20/10G06V20/68
Inventor 沈帆帆
Owner 上海崛帆智能科技有限公司
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