Intelligent cooking control system and method with thermal image

Abstract

The invention belongs to the technical field of intelligent cooking, and discloses an intelligent cooking control system and method with a thermal image. The intelligent cooking control system with the thermal image comprises a thermal image collection module, a temperature detection module, a cooking parameter setting module, a main control module, an image processing module, a timing module, a heating module, a stirring module and a display module. Through the cooking parameter setting module, the problem of cumbersome operation caused by the fact that a user manually conducts adjusting stepby step through a button to obtain cooking parameters can be avoided, and the setting efficiency and intelligence of the cooking parameters are improved; and meanwhile, the threshold of a food boundary is calculated through the image processing module, outline extraction of food is achieved through threshold segmentation and a segmentation threshold window extraction method for color components,green components and blue components, and the precise outline of the food is obtained.

Description

technical field [0001] The invention belongs to the technical field of intelligent cooking, and in particular relates to an intelligent cooking control system and control method with thermal images. Background technique [0002] Cooking refers to the art of meals, a complex and regular process of transforming ingredients into food. It is a processing method and method for processing food materials to make food more delicious, better-looking, and better-smelling. A delicious dish must have good color, fragrance, meaning, shape and nourishment, which not only makes people feel satisfied when eating, but also makes the nutrition of food more easily absorbed by the body. However, in the existing cooking, it may be necessary to set multiple parameters, the operation is cumbersome, and the intelligence of the cooking equipment is low; the extraction method of the outline of the infrared thermal image in the prior art is very complicated, and the cooking food cannot be obtained in...

AI Technical Summary

Problems solved by technology

[0004] (1) During the existing cooking, it may be necessary to set multiple parameters, the operation is cumbersome, and the intelligence of the cooking equipment is low; in the prior art, the extraction methods of the outline of the infrared thermal image are very complicated, and the cooking parameters cannot be obtained in time. Food Heatmap Data

[0005] (2) In the process of controlling the normal operation of each module in the prior art, the main control module uses traditional algorithms to classify the collected data, which cannot effectively deal with the clustering problem of mixed attribute data, and does not have high stability and good robustness

[0006] (3) In the process of collecting thermal map data of cooking food by infrared thermal imager in the prior art, traditional algorithms are used to enhance the image, so that the collected thermal image cannot effectively eliminate image noise and improve detailed information; Maximize the preservation of edge information and increase the clarity of the image

[0007] (4) In the process of detecting the temperature data of cooking food by the temperature sensor in the prior art, the existing algorithm cannot effectively compensate the humidity of the temperature sensor, and improve the quality of the temperature sensor observation data and the compensation accuracy

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