Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human-machine recognition method, device and system

A human-machine identification and robot technology, applied in the field of human-machine identification, can solve the problem of low accuracy of human-machine identification, and achieve the effect of improving the accuracy and preventing machine request attacks.

Inactive Publication Date: 2018-11-23
ALIBABA GRP HLDG LTD
View PDF9 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Embodiments of the present invention provide a method, device and system for human-machine identification, to at least solve the technical problem of low accuracy of human-computer identification due to defects in the prior art for human-computer identification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human-machine recognition method, device and system
  • Human-machine recognition method, device and system
  • Human-machine recognition method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] This application provides figure 2 The system of captcha is shown. figure 2 It is a schematic structural diagram of a human-machine recognition system according to Embodiment 1 of the present application, such as figure 2 As shown, the human-machine identification system includes: a terminal 22 and a server 24,

[0048] Terminal 22, used to collect user voiceprint information and behavior data information; server 24, connected to terminal 22, used to identify user voiceprint information and behavior data information uploaded by the terminal according to the pre-stored model, and judge user voiceprint information and behavior Whether the operation object to which the data information belongs is the same as the target object in the pre-stored model, output a corresponding judgment result according to the type of the target object, wherein the judgment result includes: the operation object is a natural person; or, the operation object is a robot.

[0049] Specifically...

Embodiment 2

[0077] According to an embodiment of the present application, an embodiment of a method for human-computer identification is also provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0078] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Take running on the server as an example, Figure 4 It is a block diagram of the hardware structure of the server of a human-computer identification method in the embodiment of the present application. Such as Figure 4 As shown, the server 40 may include one or more (only one is shown in the figure) processors 402 (the ...

Embodiment 3

[0110] This application provides Figure 6 The method of human-computer identification is shown. On the terminal side, Figure 6 It is a flow chart of the human-computer identification method according to Embodiment 3 of the present application.

[0111] Step S602, sending a verification request to the server;

[0112] Step S604, receiving the information to be verified returned by the server according to the verification request, wherein the information to be verified includes: voice information to be verified and behavior information to be verified;

[0113] Step S606, collecting user voiceprint information corresponding to the voice information to be verified, and collecting behavior data information corresponding to the behavior information to be verified;

[0114] Step S608, sending the user's voiceprint information and behavior data information to the server.

[0115] Specifically, corresponding to the terminal in Embodiment 1, the human-machine identification method...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a human-machine recognition method, device and system. The system includes a terminal and a server; the terminal is used for collecting user voiceprint information and behaviordata information; and the server is connected with the terminal and is used for recognizing the user voiceprint information and behavior data information uploaded by the terminal according to a pre-stored model, judging whether an operation object to which the user voiceprint information and behavior data information belongs is the same as a target object in the pre-stored model, and outputting acorresponding judgment result according to the type of the target object, wherein the judgment result may indicate that the operation object is a natural person or a robot. With the human-machine recognition method, device and system provided by the invention adopted, the technical problem of low accuracy of human-machine recognition due to defects existing in human-computer recognition in the prior art can be solved.

Description

technical field [0001] The present invention relates to the field of Internet technology application, in particular, to a method, device and system for human-computer identification. Background technique [0002] At present, behaviors and biometrics are commonly used as human-machine identification schemes in the existing technology. Due to the limitations of the operating platform and user experience, the user behavior data that can be collected is severely limited. The behavioral biometrics extracted from the collected behavior data can be The information gain is limited. [0003] At present, man-machine identification is carried out based on the principle of behavioral verification code, in which man-machine identification is used to distinguish whether the current operation is performed by a machine or a human operation. In the process of man-machine identification in the prior art, firstly, user behavior data is collected; Second, extract the behavioral features in the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/22G06F21/32
CPCG06F21/32G10L17/22
Inventor 梁庆欢刘刚赵情恩
Owner ALIBABA GRP HLDG LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com