Food material cooking duration recommendation method, storage medium and electric chafing dish
A recommendation method and food material technology, which is applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of inability to judge and recommend the length of time, and achieve the effect of facilitating the cooking process
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Embodiment 1
[0048] Please refer to figure 1 and figure 2 , figure 1 It is a schematic flowchart of a method for identifying food material images using a convolutional neural network provided by an embodiment of the present invention, figure 2 A schematic flow chart of a method for training a convolutional neural network provided in an embodiment of the present invention, which will be combined below figure 1 Steps S110-S140 of and figure 2 Steps S210-S260 of the present invention will describe in detail the method of using the convolutional neural network to recognize the image of the food material.
[0049] In step S110, the cooking time recommendation mode of the electric hot pot is turned on.
[0050] Specifically, this step is that the user controls the electric hot pot to turn on the recommended working mode for cooking time of ingredients through the working mode selection button set on the panel of the electric hot pot.
[0051] Step S120, acquiring food material images.
[...
Embodiment 2
[0072] Please refer to image 3 , image 3 It is a schematic flow chart of the method for calculating the recommended cooking length of the ingredient according to the ingredient label provided by the embodiment of the present invention. The method for calculating the recommended cooking length of the ingredient according to the ingredient label will be described in detail below in conjunction with steps S150-S160.
[0073] In step S110, the cooking time recommendation mode of the electric hot pot is turned on.
[0074] Specifically, this step is that the user controls the electric hot pot to turn on the recommended working mode for cooking time of ingredients through the working mode selection button set on the panel of the electric hot pot.
[0075] Step S120, acquiring food material images.
[0076] Specifically, this step is to use a camera set on the electric hot pot to acquire images of ingredients.
[0077] Step S130, using the convolutional neural network to identif...
Embodiment 3
[0113]Embodiment 3 of the present invention is a further detailed description of the specific process for the user to use the electric hot pot to cook the ingredients according to the recommended cooking time. For details, please refer to Figure 4 , Figure 4 It is a schematic flowchart of a method for using a convolutional neural network to identify an image of an ingredient and calculating the recommended cooking length of the ingredient according to the recognition result provided by an embodiment of the present invention. The following will describe steps S410-S460 in detail.
[0114] Step S410, after the electric hot pot is turned on, the user turns on the cooking time recommendation mode of the ingredients of the electric hot pot.
[0115] It should be noted that the user can selectively turn on the cooking time recommendation mode as needed, and when the user turns on the cooking time recommendation mode of the ingredients of the electric hot pot, step S420 is executed...
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