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

Active Publication Date: 2019-02-01
SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an active identification method and robot system based on big data and deep learning to address the defects or de...

Method used

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  • Active identification method and robot system based on big data and depth learning
  • Active identification method and robot system based on big data and depth learning
  • Active identification method and robot system based on big data and depth learning

Examples

Experimental program
Comparison scheme
Effect test

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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PUM

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Abstract

An active identification method and a robot system based on big data and depth learning, include obtaining criteria for the preset category, acquiring data of an object for which identification is notapplied for, acquiring data corresponding to the identification standard from the data of the object, judging whether the identification is passed, sending an identification result to the object forwhich identification is not applied for, or sending information to invite the object for which identification is not applied for to apply for identification. The method and the system improve the popularity and timeliness of the identification through the active identification technology based on the big data and the deep learning, and can avoid the omission of the identification.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an active identification method and a robot system based on big data and deep learning. Background technique [0002] In the process of realizing the present invention, the inventors found that at least the following problems existed in the prior art: the identification under the prior art was always applied for identification (such as high-tech enterprise identification) by the objects (objects including enterprises, etc.) that did not apply for identification. If you do not apply for certification, even if the subject has reached the certification standard, it is impossible to have the opportunity to pass the certification; the subject will not apply for certification under the following circumstances: (1) The subject is not clear about the certification process or standards, and does not know How to apply for identification: (2) Subjects subjectively underestimated themse...

Claims

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Application Information

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IPC IPC(8): G06F16/2457G06F16/9535G06N20/00G06F16/215G06Q10/06
CPCG06Q10/0639
Inventor 朱定局
Owner SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
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