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Diet nutrition analysis method based on face recognition self-service meal ordering system

A nutritional analysis and face recognition technology, applied in the field of artificial intelligence, can solve problems such as inability to obtain accurate data, inaccessibility of nutrients, inability to control diet, etc., to achieve clean payment methods, avoid direct transactions of cash or credit cards, and improve health horizontal effect

Active Publication Date: 2020-12-01
SHANDONG SYNTHESIS ELECTRONICS TECH
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Problems solved by technology

[0013] With the strengthening of people’s awareness of health management, facing so many unhealthy eating habits and uncontrollable diets, people want to know whether their nutrition is balanced. At present, there is no suitable tool to calculate it, because the types of food contained in each dish are too large. It is not easy to calculate, it is impossible to obtain accurate data, and it is impossible to know how many nutrients are ingested

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  • Diet nutrition analysis method based on face recognition self-service meal ordering system
  • Diet nutrition analysis method based on face recognition self-service meal ordering system
  • Diet nutrition analysis method based on face recognition self-service meal ordering system

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Embodiment Construction

[0069]Hereinafter, a specific embodiment of the present invention will be described in detail with reference to the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0070]Such asfigure 1 As shown, the present invention includes the following steps:

[0071]Step 1: Store the nutritional information data of the dishes, Step 2: Set and save the personal data information of the dining user, Step 3: Register the face of the dining user, bind the face recognition to the payment account when dining, Step 4: Pick up the meal on demand, Accurate measurement, step 5: non-sense payment: the system automatically deducts fees according to the weighed weight * fixed unit price of dishes in the payment account bound to the face registration, step 6: nutritional analysis.

[0072]The specific steps of step one are as follows:

[0073]Step 1: According to the "Food Nutrition Table", all the nutrients of the variou...

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Abstract

The invention discloses a diet nutrition analysis method based on a face recognition self-service meal ordering system. The method comprises the following steps: after a camera is started at an equipment end, detecting a human face in a video stream in real time by virtue of a human face recognition algorithm module; continuously tracking the currently detected human face; dynamically positioningthe maximum face contour in the current video stream, and calibrating the maximum face contour as a target most likely to generate human-computer interaction at present; and intercepting the current frame according to the outline, so that the current frame can be conveniently stored as a picture in a format of jpg or png and the like. The invention relates to the field of artificial intelligence,in particular to a diet nutrition analysis method based on a face recognition self-service meal ordering system. The invention provides a human face anti-duplication method integrating quality detection, real-time comparison and cloud support, is suitable for various service robots, and can realize a more accurate human face recognition function with better customer experience.

Description

Technical field[0001]The present invention relates to the field of artificial intelligence, and in particular, to a diet and nutrition analysis method based on a face recognition self-service meal system.Background technique[0002]In order to actively promote the "Internet + nutrition and health" service and promote the application of big data, to promote the development of the nutrition and health-oriented information technology industry, the health data of adolescents in my country is not optimistic: 80% of students have poor breakfast nutrition and the incidence of anemia in adolescence Up to 38%, the incidence of fatty liver among obese children is 40%-50%. According to a survey by the Chinese Academy of Preventive Medicine, the protein intake of nearly 270 million school students in China is only 65% ​​of the standard amount, calcium, iron, and zinc are seriously insufficient, and the vitamin intake is only 15% of the standard amount. In addition, obese children nationwide Among...

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Application Information

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IPC IPC(8): G16H20/60G06Q20/40
CPCG16H20/60G06Q20/40145
Inventor 谭雪欣马文英王卫中许辰郭恩英肖贺韩永青王占鹏刘佳
Owner SHANDONG SYNTHESIS ELECTRONICS TECH
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