Intelligent food container identification method, device, system and storage medium

Abstract

The invention relates to an intelligent food container identification method, device, system and storage medium. The method includes: acquiring an image of a food container to be identified; dividing the image into a plurality of sub-image blocks; inputting each sub-image block into the first neural network model, and outputting a judgment result of whether each sub-image block belongs to an intelligent food container; The inner wall of the smart food container has a first identification pattern and a second identification pattern, and the first neural network model is a neural network model obtained by training sub-image blocks containing the first identification pattern and / or the second identification pattern as positive samples; In the image block, if the proportion of the sub-image blocks that are determined to belong to the smart food container to all the sub-image blocks is greater than the set value, then it is determined to be a smart food container. The above-mentioned method can accurately identify smart food containers, avoid misjudgment caused by indistinguishable patterns in ordinary containers from smart food containers, and improve the accuracy of food recognition in smart food containers.

Description

technical field [0001] The invention relates to the technical field of object detection, in particular to an intelligent food container identification method, device, system and storage medium. Background technique [0002] With the development of science and technology and the improvement of people's living standards, people have more refined measurement requirements for food intake. For example, in the self-service catering industry, merchants need to intelligently measure the types and quantities of food purchased by customers. For example, users need to know the calorie information of food intake due to the needs of weight control and nutritional balance when eating. [0003] In order to obtain food information, the prior art can utilize special food containers to weigh the food. For example, a load cell can be implanted inside a special tableware to weigh the quality of the food contained in the tableware. Such existing food containers need to be implanted with specif...

AI Technical Summary

Problems solved by technology

Such existing food containers need to be implanted with specific sensors during preparation, which makes mass production difficult and the preparation cost is high. In addition, such food containers for weighing are often complex in structure, heavy in volume, and require careful maintenance during use. Inconvenient to use

[0004] In order to solve the technical problems of high cost and inconvenient use of food containers implanted with sensors, a smart food container made by printing special texture patterns on the inner wall of the container can be considered. This kind of smart food container does not need to be implanted with sensors. Similar to tableware, when food is placed on the smart food container, a terminal such as a mobile phone can be used to take a picture of the smart food container carrying food, and with the help of special texture patterns, the picture is recognized and processed to obtain the relevant information of the food in the container. information

[0005] However, the problem with the above solution is that ordinary tableware is often printed with textured patterns. It is difficult to distinguish smart food containers from ordinary tableware in the existing technology. The recognition of food is abnormal, resulting in a decrease in the accuracy of food information recognition

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