Personalized identification method and robot system based on big data and deep learning
A technology of deep learning and big data, applied in the information field, can solve problems such as inability to meet the identification requirements of different types of objects, single identification standards, etc., and achieve the effect of improving identification automation
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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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