Tracking identification method based on big data and deep learning and robot system

A deep learning and data technology, applied in the information field, can solve problems such as high cost, insufficient accuracy, and low efficiency

Active Publication Date: 2019-02-12
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 a tracking identification method and robot system based on big data and deep learning to solve the timeliness, objectivity, credibility, and accuracy identified in the existing technology. Shortcomings and disadvantages of high cost and low efficiency

Method used

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  • Tracking identification method based on big data and deep learning and robot system
  • Tracking identification method based on big data and deep learning and robot system
  • Tracking identification method based on big data and deep learning and robot system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0222] Embodiment 1 provides an identification method, the identification method includes the identification standard acquisition step S100, the object data acquisition step S200, the standard corresponding data acquisition step S300, the data change detection step S400, the tracking identification judgment step S500, and the copy identification result step S600, such as figure 1 shown.

Embodiment 2

[0223] 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

[0224] 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

The present invention relates to a tracking identification method based on big data and deep learning and a robot system. The method includes obtaining criteria for the preset category, obtaining thedata of the object to be identified, obtaining the data corresponding to the identification standard from the data of the object, comparing the data corresponding to the identification standard of theobject to be identified with the data corresponding to the identification standard of the object to be identified at the time of last identification, and judging whether or not the data is changed; if yes, turning to a tracking and identification and judgment step to execute; if no, going to the a copy determination result step to execute. The method and the system improve the timeliness, objectivity, credibility and efficiency of identification and reduce the cost of identification through tracking identification technology based on big data and deep learning.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a tracking identification method and robot system based on big data and deep learning. Background technique [0002] In the process of realizing the present invention, the inventor found that there are at least the following problems in the prior art: identification under the prior art (such as identification of high-tech enterprises, identification of talents, etc.) Some objects (objects include enterprises, candidates, etc.) may have passed the identification, but once passed, the object no longer has the pressure of identification, and relaxes the requirements for itself, so that within a period of time after the identification is passed, it may be possible It no longer meets the requirements of the identification, but it will not affect the results of the previous identification, which will cause the results of the identification to not be time-sensitive. Loss of credib...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/2457G06F16/9535G06N99/00G06Q10/06
CPCG06Q10/0639
Inventor 朱定局
Owner SUPERPOWER INNOVATION INTELLIGENT TECH DONGGUAN CO LTD
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