A method, system, server and front end for acquiring individual eating data

Abstract

The present invention provides a method, system, server and front end for obtaining individual eating data. The method includes the following steps: register the identity of the eater, and bind the individual identity of the eater; photograph the eating process of the eater, and obtain A collection of pictures; inputting the collection of pictures into a machine learning model, obtaining the recognition results output by the machine learning model, and storing them in the eating file. The technical solution for obtaining individual eating data, by photographing the individual eating process, combined with the identity information registered in advance and the bound individual identity of the eater, identifies the identity of the eater in the video, and uses the eating tool used when eating For reference, according to a group of photos of the entrance and exit of eating tools, the actual eating weight is calculated, and the type of food is judged at the same time, and the individual identity information is combined with the corresponding eating files, personal health files, and standardized nutritional models. Individuals receive reasonable dietary nutrition and health guidance.

Description

Technical field [0001] The present invention relates to the field of information technology, and more specifically to a method, system, server and front end for obtaining individual eating data. Background technique [0002] At present, nutrition-related chronic diseases have become an important cause of human death. Evaluation of individual dietary nutrition, combined with individual physical indicators, and guidance for individual dietary nutrition health are important means to maintain individual health and achieve this goal. The premise is to be able to conveniently and accurately obtain individual eating data for each meal. [0003] Conventional methods for obtaining individual eating data include weighing method, continuous 3 days and 24 hours eating review method, and food frequency method to obtain individual eating data. However, using the above methods, you can only rely on the memory of the eater to guess and obtain rough data. Sex is very poor, and it also requires a h...

AI Technical Summary

Problems solved by technology

[0003] Routine methods to obtain individual eating data include weighing method, 24-hour eating review method for 3 consecutive days, and food frequency method to obtain individual eating data. The performance is very poor, and it also requires a high degree of cooperation from the eater, especially when collecting the eating data of multiple individuals, the operation process is too cumbersome, so it is not easy to obtain individual eating data using conventional methods

Of course, in the prior art, there is also a method of using image recognition technology to obtain individual eating data. By taking pictures of the whole food before eating and the remaining food after eating, a specific object is set as a reference for comparison and calculation of food. to obtain individual eating data, but it is difficult to reflect the ingredient structure of the dish by taking photos of the whole meal, and the production of the dish is not completely up to standard. The structure of the ingredients does not meet expectations, so the accuracy of this method is poor, and the setting of reference objects is not easy enough to operate

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