A dietary nutrition analysis method based on face recognition self-service dining system

Abstract

The invention discloses a diet nutrition analysis method based on a face recognition self-service dining system, which comprises the following steps: step 1: data storage of nutritional component information of dishes; step 2: setting and saving personal data information of dining users; step 3: dining users Face registration, face recognition and payment account binding when dining; Step 4: Self-service meal pick-up on demand, accurate measurement; Step 5: Non-inductive payment: The system automatically uses the weighted amount in the payment account bound to face registration The fixed unit price of the weight * dishes will be deducted; Step 6: Nutritional analysis. The perfect meal ordering system and the non-inductive payment of face recognition technology make the payment method cleaner and more efficient, avoiding direct transactions in cash or swiping cards. The billing desk of the meal ordering system automatically weighs and measures in grams, and the server pushes nutritional analysis through big data calculations, reminding people in real time whether their intake is balanced and reasonable, and sending people dietary health guidance and advice through WeChat.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method for analyzing diet and nutrition based on a face recognition self-service dining system. Background technique [0002] In order to actively promote the "Internet + nutrition and health" service and promote the application of big data, and drive the development of the information technology industry oriented by nutrition and health, at the same time, the health data of Chinese teenagers 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 in the country is 40%-50%. The current survey by the Chinese Academy of Preventive Medicine shows that the protein intake of nearly 270 million school students in China is only 65% ​​of the standard amount, the calcium, iron, and zinc are seriously deficient, and the vitamin intake is only 15% of the standard amount....

AI Technical Summary

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

Images