Food material recognition method and device and refrigerator
A technology for ingredients and refrigerators, which is applied in the field of identification of ingredients, can solve the problem of low accuracy in identifying similar ingredients, and achieve the effects of improving user experience, reducing background clutter, and improving signal-to-noise ratio.
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Embodiment 1
[0023] According to an embodiment of the present invention, an embodiment of a method for identifying ingredients is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0024] figure 1 is a flowchart of a method for identifying ingredients according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0025] Step S11, acquiring image information inside the refrigerator.
[0026] Specifically, the above-mentioned image information is an image from any angle inside the refrigerator, including images of ingredients and images of the internal structure of the refrigerator.
[0027] In an optional embodiment, the ...
Embodiment 2
[0051] According to an embodiment of the present invention, an embodiment of a device for identifying ingredients is provided, figure 2 is a schematic diagram of a device for identifying ingredients according to an embodiment of the present invention, such as figure 2 As shown, the device includes:
[0052] The acquisition module 21 acquires image information inside the refrigerator.
[0053] The recognition module 22 recognizes the image information according to the image recognition model to obtain the recognition result, wherein the image recognition model is a convolutional neural network model obtained through training including various image information in the refrigerator.
[0054] The determining module 23 determines the ingredients in the refrigerator according to the recognition result.
[0055] As an optional embodiment, the recognition module includes: an extraction submodule, configured to extract at least one image feature contained in the image information; ...
Embodiment 3
[0063] According to an embodiment of the present invention, a refrigerator is provided, including the device for identifying ingredients in Embodiment 2.
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