Smart food scale

Abstract

The invention relates to a smart food scale, which comprises a weighing platform, a weighing sensor, an image collector, a memory, a processor, a display, and one or more programs. The memory furthercomprises a diet management program and a log database for recording the current image information and the weight information. The diet management program comprises instructions for executing the following 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; S22) the accumulated data and a recommended ingestion value of the user in the set time are compared, and a comparison result is outputted; S26) when the current actual ingestion value of the user is larger than the recommended nutrient ingestionvalue, the values of one or more nutrients are calculated; and S24) a record containing the most nutrient is found out from historical ingestion records of the user, and a reasonable ingestion amountis calculated and outputted.

Description

technical field [0001] The invention belongs to the field of metering devices, in particular to an intelligent weighing food scale. Background technique [0002] With the progress of the times and the abundance of material materials, modern people pay more and more attention to dietary health, and use various methods to scientifically control the intake of various nutrients in food. At present, the more commonly used technical means are: first, use traditional electronic weighing scales to weigh the edible food, and then calculate the contents of various nutrients contained in the food respectively according to the food nutrient table. For multiple foods, the nutrients (such as protein, carbohydrates, fat, etc.) of multiple foods need to be accumulated and calculated separately. 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 ar...

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 previous nutrition intake for targeted intake

Finally, due to the diverse dietary needs of different groups of people, for example, diabetics need a low-sugar diet, people with high blood pressure need a low-salt diet, people who lose weight need a low-fat and low-carbohydrate diet, and babies need to constantly adjust their diets at various stages of growth to achieve balanced nutrition. Traditional measurement methods are complex and backward, so it is difficult to popularize

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