Active 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 problems such as poor timeliness and low penetration rate
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Embodiment 1
[0194] Embodiment 1 provides an identification method. The identification method includes an identification standard acquisition step S100, an object data acquisition step S200, a standard corresponding data acquisition step S300, an identification judgment step S400, and an active feedback step S500, such as figure 1 shown.
Embodiment 2
[0195] 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
[0196] Embodiment 3 provides an identification method, including the steps of the method described in Embodiment 2; wherein, the data cleaning step S320 includes the corresponding data source acquisition step S321, the credibility acquisition step S322, and the credibility selection step S323.
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