Food nutritional ingredient analysis method and device, electronic equipment and readable storage medium

A nutrient composition and analysis method technology, applied in the field of artificial intelligence, can solve the problems of low model recognition accuracy and low accuracy of food nutrient composition analysis, and achieve the effect of improving the accuracy rate

Pending Publication Date: 2022-01-14
深圳平安智慧医健科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, at present, a single artificial intelligence model is used to directly identify the food that people eat for nutritional composition analysis. Due to the large variety of food, the recognition accuracy of the model is not high, so the accuracy of food nutritional composition analysis is low.

Method used

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  • Food nutritional ingredient analysis method and device, electronic equipment and readable storage medium
  • Food nutritional ingredient analysis method and device, electronic equipment and readable storage medium
  • Food nutritional ingredient analysis method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0048] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] An embodiment of the present invention provides a method for analyzing food nutritional components. The executor of the food nutritional component analysis method includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the food nutritional component analysis method can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can provide cloud services, cloud databases, cloud computing, cloud functions, cloud ...

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Abstract

The invention relates to an artificial intelligence technology, and discloses a food nutritional ingredient analysis method. The method comprises the following steps: carrying out interference removal processing on a to-be-identified food picture to obtain a standard food picture; performing food region segmentation and classification on the standard food picture by using a pre-constructed picture segmentation model to obtain a segmented food picture and a corresponding food category; according to the food category and the identification category, selecting a corresponding food identification model to carry out food identification on each segmented food picture to obtain a corresponding food name; querying nutritional ingredients of the corresponding food according to the food name to obtain a nutritional ingredient subset; and performing missing nutrition analysis according to the standard dietary nutritional ingredient set and the nutritional ingredient subset to obtain to-be-supplemented nutritional ingredients. The invention also relates to blockchain technology, in which the subset of nutritional ingredients can be stored in blockchain nodes. The invention further provides a food nutritional ingredient analysis device, equipment and a medium. According to the invention, the accuracy of food nutritional ingredient analysis can be improved.

Description

technical field [0001] The invention relates to artificial intelligence technology, in particular to a method, device, electronic equipment and readable storage medium for analyzing food nutritional components. Background technique [0002] In the current society, more and more people are paying attention to dietary health issues. In order to have a better healthy diet and better intake of nutrients needed by the body from food, it is necessary to accurately analyze the missing nutrients in food and conduct more targeted Therefore, the nutritional composition analysis method of food has also attracted more and more attention. [0003] However, at present, a single artificial intelligence model is used to directly identify the food that people eat for nutritional composition analysis. Due to the large number of food types, the recognition accuracy of the model is not high, so the accuracy of food nutritional composition analysis is low. Contents of the invention [0004] T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/68G06V10/25G06V10/44G06V10/764G06K9/62G06V10/82G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/241
Inventor 梁萌
Owner 深圳平安智慧医健科技有限公司
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