Personalized identification method and robot system based on big data and depth learning
A deep learning and data technology, applied in the information field, can solve the problems of single identification standard and inability to meet the identification needs of different types of objects.
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Embodiment 1
[0199] Embodiment 1 provides an identification method. The identification method includes a personalized identification standard acquisition step S100, an object data acquisition step S200, a standard corresponding data acquisition step S300, and an identification judgment step S400, such as figure 1 shown.
Embodiment 2
[0200] Embodiment 2 provides an identification method, including the steps of the method described in Embodiment 1; wherein, the object data acquisition step S200 includes the data source acquisition step S210, object data retrieval S220, and the data acquisition step S300 corresponding to the standard includes data screening Step S310, data cleaning step S320.
Embodiment 3
[0201] Embodiment 3 provides an identification method, including the steps of the method described in Embodiment 1; wherein, the individualized identification standard acquisition step S100 includes the object type acquisition step S110, and the identification standard acquisition step S120 corresponding to the object type, such as figure 2 shown.
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