Cooking control method and device, storage medium and cooking equipment

Abstract

The invention provides a cooking method applied to cooking equipment provided with an HSV threshold database. The cooking control method comprises steps as follows: acquiring images of dishes in the cooking equipment at a current cooking stage; converting the images of the dishes into corresponding image signals; extracting food material HSV values contained in the image signals; comparing the food material HSV values with a preset HSV threshold range in the HSV threshold database to recognize food materials contained in the dishes in the cooking equipment; recommending recipes to a user according to the food materials to control the cooking equipment to operate. Correspondingly, the invention further provides a cooking control device, a computer readable storage medium and the cooking equipment. According to the technical scheme, the HSV threshold database is built locally for the cooking equipment, so that the cooking equipment can recognize different kinds of food materials automatically in an environment without a network, and intelligently recommend the recipes to the user according to the recognized food materials, thereby getting rid of network constraint and being simple and convenient to operate, low in cost and high in efficiency.

Description

technical field [0001] The present invention relates to the technical field of cooking equipment, in particular, to a cooking control method, a cooking control device, a computer-readable storage medium and cooking equipment. Background technique [0002] "Smart home" is becoming the mainstream of the home appliance industry in the current era. Various sensor technologies that can realize voice recognition, image recognition, fingerprint recognition, gesture recognition, etc. have been widely used in various cooking equipment. [0003] When users use traditional cooking equipment to cook ingredients, they usually manually set the cooking time and temperature of different recipes based on their own experience or rough estimates. Obviously, for users who lack cooking experience, there will be operational problems. Problems with precision and poor cooking results. [0004] At present, the recipe and cooking status are determined by comparing the current image of the ingested f...

AI Technical Summary

Problems solved by technology

[0003] When users use traditional cooking equipment to cook ingredients, they usually manually set the cooking time and temperature of different recipes based on their own experience or rough estimates. Obviously, for users who lack cooking experience, there will be operational problems. Problems with precision and poor cooking results

[0004] At present, the recipe and cooking status are determined by comparing the current image of the ingested food with the image in the cloud server image library. This process requires the cooking device to be connected to the Internet all the time. It can be seen that when the cooking device is in the wireless ) or in an environment with weak wireless signals, this recipe recognition method will be limited by environmental conditions and is not easy to implement, and by using a cloud server for recipe recognition, the data algorithm is complex, and the cost is high and the efficiency is low

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