Cooking control method, cooking control device, storage medium, and cooking device

Abstract

The invention provides a cooking control method for setting a cooking device having an HSV threshold database. The cooking control method includes: acquiring a dish image of the cooking device at a current cooking stage; converting the dish image into a corresponding image signal; dividing the image signal into a plurality of matrix regions, and extracting respective food material HSV values included in all the matrix regions; comparing the plurality of food material HSV values and a preset HSV threshold range in the HSV threshold database so as to recognize food materials included in dishes of the cooking device; and recommending a recipe to a user according to the food materials so as to control operation of the cooking device. Correspondingly, the invention also provides a cooking control device, a computer readable storage medium, and a cooking device. The technical scheme establishes the HSV threshold database in the cooking device locally, can allow the cooking device to automatically recognize different types of food materials in a non-network environment, can intelligently recommend a recipe to the user on the basis of the recognized food materials, and is easy and fast tooperate.

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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