Menu recommending method and menu recommending system based on image identification

Abstract

The invention relates to a menu recommending method and a menu recommending system based on image identification, and is used for searching for recommended menus matched with existing food materials in an existing menu database. The menu recommending system comprises a food material image collecting device, a food material image identifying device, a central processor and a menu recommending reminding device. The menu recommending method comprises the steps that the images of the existing food materials are collected; an existing food material total image including all the existing food materials is formed; various kinds of food materials in the existing food material total image are identified, and the names of all the existing food materials are known; an existing menu including all theexisting food materials is recommended to be selected by users when the known names of all the existing food materials are judged on the existing menu, and the proportions of all the existing food materials in the existing food material total image are all higher than an image occupancy proportion threshold, so that the aim of recommending a menu suitable for the current existing food materials isachieved; otherwise, the fact that menu reminding information matched with all the current existing food materials is not available is provided to the users.

Description

technical field [0001] The invention relates to the field of intelligent recipes, in particular to an image recognition-based recipe recommendation method and a recipe recommendation system. Background technique [0002] In daily life, the user often puts various purchased ingredients (such as vegetables, cooked food, etc.) together, and then selects the ingredients he thinks are suitable for cooking when cooking is required. With the development of smart kitchen appliances, various recipe recommendation methods with smart recipe recommendation functions have been proposed one after another, and the smart kitchen appliances accompanying these recipe recommendation methods have gradually entered people's kitchens. The user can guide the user to cook delicious recipes according to the recipes recommended by the kitchen appliance or the recipes selected by the user on the kitchen appliance. [0003] However, there are still some deficiencies in the existing methods and kitchen...

AI Technical Summary

Problems solved by technology

[0003] However, there are still some deficiencies in the existing methods and kitchen appliances with the function of recipe recommendation: due to the large variety of these ingredients, and the classification of the ingredients is not detailed, it takes a long time for the user to browse through the recommended recipes , and even the recipes recommended by kitchen appliances do not include the user’s current existing ingredients, and it is impossible to intelligently recommend recipes suitable for the current existing ingredients, which will undoubtedly cause a bad cooking experience for users

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