Nutrition management scale

Abstract

The invention relates to a nutrition management scale, which comprises a weighing platform, weighing sensor, an image collector, a memory, a processor, a display and one or more programs, wherein thememory also comprises a diet management program and a log database for recording current image information and weight information. The diet management program comprises instructions for executing thefollowing steps: S21), the amounts of nutrients ingested by the same user within a set time are accumulated to acquire the actual ingestion value of the user; and S22) the accumulated data and a recommended ingestion value of the user in the set time are compared, and a comparison result is outputted. The type and the nutrition information of the current weighed object are acquired through visualrecognition; according to the calculated recommended intake food amount, the actual nutrient intake of each user is recorded, and accurate and comprehensive management on the diet nutrition is achieved.

Description

Technical field [0001] The invention belongs to the field of metering devices, and particularly relates to an intelligent weighing food scale. Background technique [0002] With the progress of the times and the enormous abundance of material information, modern people pay more and more attention to healthy diet and use various methods to scientifically control the intake of various nutrients in food. At present, the more commonly used technical methods are: firstly, use the traditional electronic weighing scale to weigh the edible food, and then calculate the content of various nutrients contained in the food according to the food nutrient substance table. For multiple foods, the nutrients (such as protein, carbohydrate, fat, etc.) of multiple foods need to be calculated separately. Its disadvantages are very obvious: one is that it needs to be weighed before calculation, which is cumbersome and complicated; the other is that the types of nutrients that can be calculated are li...

AI Technical Summary

Problems solved by technology

Its disadvantages are very obvious: first, it needs to be weighed first and then calculated, and the operation is cumbersome and complicated; second, the types of nutrients that can be calculated are limited, generally only for protein, fat, carbohydrates, etc., and cannot be calculated for all substances (such as calcium , iron, vitamins, salt, sugar, etc.) for one-by-one statistics; third, it is impossible to calculate which nutrients the body still lacks based on pr...

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