CN108573033A - Cyborg network of vein method for building up based on recognition of face and relevant device - Google Patents

Cyborg network of vein method for building up based on recognition of face and relevant device Download PDF

Info

Publication number
CN108573033A
CN108573033A CN201810260147.2A CN201810260147A CN108573033A CN 108573033 A CN108573033 A CN 108573033A CN 201810260147 A CN201810260147 A CN 201810260147A CN 108573033 A CN108573033 A CN 108573033A
Authority
CN
China
Prior art keywords
image data
face image
face
module
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810260147.2A
Other languages
Chinese (zh)
Inventor
张叶
常旭岭
许佳佳
曲宏松
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changchun Mayor Guangxinyi Technology Co Ltd
Original Assignee
Changchun Institute of Optics Fine Mechanics and Physics of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changchun Institute of Optics Fine Mechanics and Physics of CAS filed Critical Changchun Institute of Optics Fine Mechanics and Physics of CAS
Priority to CN201810260147.2A priority Critical patent/CN108573033A/en
Publication of CN108573033A publication Critical patent/CN108573033A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Cyborg network of vein method for building up and relevant device provided by the invention based on recognition of face, classification processing is carried out by carrying out recognition of face to contacts personnel, it can be formed a kind of " electronic memory of human connection ", people can be made no longer to forget the friend that forget in daily use, it is also possible that people quickly shakes down, it can not only store, it can also pass on, the human connection record recorded by this system, it can carry out intelligent information arrangement, forming a kind of invisible wealth can pass on to offspring, since the system acquisition process is a kind of long periods of wear process, not only record name and facial image, user can also be recorded well with its interactive information, improving the flexibility associated between men can permanence, promote user experience.

Description

Cyborg network of vein method for building up based on recognition of face and relevant device
Technical field
The present invention relates to technical field of face recognition, more particularly to a kind of cyborg network of vein foundation side based on recognition of face Method and relevant device.
Background technology
In each stage of life, we can all encounter some (such as:Relatives, friend, colleague or tour pal etc.), Usually we can record their contact method, when over time, we can forget these people appearance or because These people are not contacted for contact method replacement, it is exactly the blind disease of face that we frequently encounter, artificial intelligence, big data technology It is constantly promoted, people handle image data and the ability of acoustic information has had reached intelligentized degree, and especially face is known Aspect does not have been achieved for remarkable progress, however, application in daily life, recognition of face is mainly widely used in supervising at present Control, mobile phone photograph, attendance such as are checked card at the occasions, and being used for solving the blind disease of face there is presently no a kind of good scheme, this awkward is asked Topic.
Invention content
It the cyborg network of vein method for building up that an embodiment of the present invention provides a kind of based on recognition of face, system and wearable sets Face information standby, that intelligent recognition occurs provides corresponding management operation, and improving the flexibility associated between men can be permanent Property, promote user experience.
In a first aspect, the present invention provides a kind of cyborg network of vein method for building up based on recognition of face, the method includes:
Initialization pre-establishes contacts demographic data library, and the contacts demographic data library includes pre-stored contacts personnel Face image data, identification information corresponding with the contacts personnel face image data, important contacts personnel facial image number According to this and important session log list;
The face image data that target area occurs is obtained in real time;
The collected face image data is subjected to recognition of face and is compared with the contacts demographic data library;
Corresponding operating is then executed when the face image data meets preset condition.
It is described then to execute corresponding behaviour when the face image data meets preset condition as a kind of possible realization method Make, including:
When the face image data and arbitrary contacts personnel's human face data in the contacts demographic data library match First way prompt then is sent to default object, the first way prompt includes voice prompt and/or text prompt.
It is described then to execute corresponding behaviour when the face image data meets preset condition as a kind of possible realization method Make, including:
When the face image data and the arbitrary contacts personnel human face data in the contacts demographic data library not With then being recorded to the face image data, the identification information of the face image data is added manually or is known by semanteme It Huo Qu not identification information of the corresponding information as the face image data.
It is described then to execute corresponding behaviour when the face image data meets preset condition as a kind of possible realization method Make, including:
When the face image data in real-time gatherer process existence time or occurrence number reach given threshold then to Default object sends prompting message, and the prompting message includes the face image data counterpart personnel time of occurrence and appearance Number.
It is described then to execute corresponding behaviour when the face image data meets preset condition as a kind of possible realization method Make, including:
It is then sent out to default object when the face image data and the important contacts personnel face image data match Second of prompt, second of prompt is sent to be different from the first described prompt.
It is described then to execute corresponding behaviour when the face image data meets preset condition as a kind of possible realization method Make, including:
When the face image data and the important session log list match the face image data pair then The conversation content of personnel is answered to be recorded in a manner of voice or word.
As a kind of possible realization method, the contacts demographic data library further includes face image data masked list, It is described then to execute corresponding operating when the face image data meets preset condition, including:
When the face image data and the face image data masked list match, it is not responding to the face figure Default object is not prompted as the corresponding operation of data and.
Second aspect, the present invention provide a kind of cyborg network of vein based on recognition of face and establish system, are applied to above-mentioned Cyborg network of vein method for building up based on recognition of face, the system comprises video acquisition module, video control module, audios to adopt Collect module, audio frequency control module, manual control module, data transmission module, data processing module, storage control module, storage Module and graphics/audio output equipment, the data transmission module control mould with the video acquisition module, the video respectively Block, the audio frequency control module, the data processing module, the storage control module, described is deposited at the audio collection module It stores up module to be electrically connected, the video acquisition module and the audio collection module are respectively by the video image at collected scene Data pass to the data processing module with audio data by the data transmission module, and the data processing module passes through The data transmission module is delivered separately to the memory module, the video control module, the audio control by signal is controlled Molding block and graphics/audio output equipment, the video control module manually control mould with the audio frequency control module by described Block is manually controlled, and the data processing module knows the vedio data of acquisition and the audio data , it does not parse and identifies the face image data in the vedio data whether in contacts demographic data library, according to matching As a result corresponding operation is executed.
As a kind of possible realization method, the data processing module is that local data processing module or high in the clouds are handled Module, it is local that the local data processing module, which uses CPU processor, GPU processors or special chip, the memory module, Storage or cloud storage, the data transmission module use wire transmission module or wireless transport module, described image audio defeated Go out equipment and use display or loudspeaker, it is microphone that the video acquisition module, which uses camera, the audio collection module,.
As a kind of possible realization method, the signal transmission form of the wireless transport module using bluetooth, Wi-Fi, It is one or more in Zigbee, 4G signal or 5G signals.
The third aspect, the present invention provides a kind of wearable devices, have the as noted above electricity based on recognition of face The Ziren network of vein establishes system.
Cyborg network of vein method for building up, system and wearable device provided by the invention based on recognition of face, by right Contacts personnel carry out recognition of face and carry out classification processing, a kind of " electronic memory of human connection " can be formed, in daily use In people can be made no longer to forget the friend that forget, it is also possible that people quickly shakes down, can not only store up It deposits, can also pass on, recorded by the human connection that this system is recorded, intelligent information arrangement can be carried out, form a kind of invisible wealth Richness can be passed on to offspring, since the system acquisition process is a kind of long periods of wear process, not only record name and face figure Picture, user can also be recorded well with its interactive information, and improving the flexibility associated between men can grow Long property promotes user experience.
Description of the drawings
Fig. 1 is the flow signal of the cyborg network of vein method for building up based on recognition of face provided in the embodiment of the present invention Figure;
Fig. 2 is that the cyborg network of vein based on recognition of face provided in the embodiment of the present invention establishes the structure diagram of system.
Specific implementation mode
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects It encloses.
Term " first ", " second ", " third " in description and claims of this specification and above-mentioned attached drawing, " The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage The data that solution uses in this way can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating herein Or the sequence other than the content of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that Cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, product or equipment need not limit In those of clearly listing step or unit, but may include not listing clearly or for these processes, method, production The intrinsic other steps of product or equipment or unit.
In conjunction with shown in Fig. 1, the present invention provides a kind of cyborg network of vein method for building up based on recognition of face, the method packet It includes:
S101, initialization pre-establish contacts demographic data library, and the contacts demographic data library includes pre-stored friendship Toward personnel's face image data, identification information corresponding with the contacts personnel face image data, important contacts personnel face Image data and important session log list.
Contacts personnel can be the personnel intentionally or accidentally met, and can be known to user can also be user is not The people of understanding, the contacts personnel face image data in contacts demographic data library can carry out image acquisition in advance, can also be Later stage carries out the addition of contacts personnel's face image data, and the corresponding identification information of contacts personnel's face image data can be this Name, number of contacts personnel etc. can be numbered and work number, student number, identification card number, hand may be used as the information of affiliated mark Machine number etc., important contacts personnel face image data are a kind of contacts personnel as specially treated, and significance level is handed over than general It is high toward personnel, such as VIP identity, the more advanced service of the offer of important contacts personnel is treated, such as play welcome words, important dialogue Data in record list are recorded to the dialogue for associating personnel in the list.
S102, the face image data that target area occurs is obtained in real time.
The face image data for acquiring target area appearance in real time by camera acquires target area by microphone Audio-frequency information controls camera by video acquisition control module, controls microphone acquisition by audio collection control module, leads to It crosses data transmission module and obtains the acquisition instructions of data processing module, acquisition instructions can also be obtained by manual control module, Region captured by target area, that is, camera flexibly can define or adjust, such as at company doorway, business handling area, lead to It crosses face recognition technology to extract the face image data in video data that camera acquires, ordinary skill people Member is not it is to be appreciated that repeat this.
S103, the collected face image data is subjected to recognition of face and is carried out with the contacts demographic data library It compares.
Get face image data by the means of recognition of face, by with the contacts personnel in contacts demographic data library Face image data, important contacts personnel face image data and important session log list match, and utilize image phase It is compared like degree and is used as matched means, the threshold value that similarity reaches setting can then determine that two pictures match, for image Matching is by the correspondence to presentation content, feature, structure, relationship, texture and gray scale etc., point of similitude and consistency Analysis, seeks similar view target, can be carried out by way of Gray-scale Matching or characteristic matching, when actually detected, using CNN The mode of propagated forward, input picture matrix are handled via each layer of neural network, you can obtain the result of target identification.
S104, corresponding operating is then executed when the face image data meets preset condition.
Specifically, when the face image data and arbitrary contacts personnel's human face data in the contacts demographic data library Match and then send first way prompt to default object, default object can be user, the first way prompt Including voice prompt and/or text prompt, new contacts personnel face image data is found in contacts demographic data library here, Then contacts personnel are considered as acquaintance, can be reported to user, and voice prompt may include the tinkle of bells, tone information etc., language Sound content can be the name and position of contacts personnel, or last when and where when meeting, this is not limited, and The mode that short message then may be used in text prompt carries out, and word content can also be all the name and position of contacts personnel, or When and where when last time meets does not limit this, it should be noted that, can be in order to coordinate carry out message notifying Binding designated equipment in advance, such as mobile phone, wearable device or earphone can then be triggered when meeting preset condition and be set to specified Standby prompt.
The information obtained is sorted out according to contacts personnel, the contacts process that same personnel are occurred arranges together It is stored.When transferring the contacts personal information in the cyborg network of vein, can not only see the name of contacts personnel, photo, The information such as position, it is further seen that crucial dialogue and key video sequence of the main body with contacts personnel.
When the face image data and the arbitrary contacts personnel human face data in the contacts demographic data library not With then being recorded to the face image data, then contacts personnel are considered as stranger at this time, can to contacts personnel into Row photographs to record, and user can be added the mark of the face image data manually by checking after contacts personnel's image Know information, can also the conversation content of contacts personnel carry out semantics recognition, extraction wherein includes the information conduct of identification information The identification information of face image data, such as in failed match, strange contacts personnel can identify oneself, and such as " I am XXX " then can obtain conversation content by speech recognition, then analyze by semantics recognition the name of contacts personnel and be The identification information of the strange contacts personnel is extended this as XXX, improves the intelligence of equipment by XXX.
When the face image data in real-time gatherer process existence time or occurrence number reach given threshold then to Default object sends prompting message, and the prompting message includes the face image data counterpart personnel time of occurrence and appearance Number is to be directed to the contacts personnel for occurring target area repeatedly or resting on target area for a long time here, can be acquaintance Either strange contacts personnel stay or occurrence number reaches repeatedly in target area as the contacts personnel contacts personnel for a long time Certain value is then prompted to user, and the content of prompt can protect contacts personnel time of occurrence and occurrence number, right Can the time occurred every time be subjected to record prompt simultaneously when this occurs, there are emergency events not but to be to avoid contacts personnel The case where important contacts personnel cause to delay, improves the intelligence of equipment, can also add contacts people manually in the main body later stage Member's information.
It is then sent out to default object when the face image data and the important contacts personnel face image data match Second of prompt, second of prompt is sent to be different from the first described prompt, the height carried out herein for important contacts personnel The prompt of priority, the mode of prompt is different from the first prompt, each prompting mode user can flexibly be selected Setting, can carry out that display is highlighted when being such as adopted as font, can be carried out when being prompted using voice mode high preferential Grade is reminded, and important contacts personnel are avoided missing.
When the face image data and the important session log list match the face image data pair then The conversation content of personnel is answered to be recorded in a manner of voice or word, the contacts personnel in important session log list can be pre- It first adds, when occurring belonging to the contacts personnel in important session log list, the conversation content of contacts personnel is carried out Record such as directly by the way of recording, or is converted to word by the way of speech recognition and is preserved, do not limit this It is fixed.
The contacts demographic data library further includes face image data masked list, and face image data masked list is similar Blacklist, user do not want to see that certain contacts personnel, then can the face image data of contacts personnel be added face figure As in data mask list, matching when the face image data and the face image data masked list, being not responding to The face image data is corresponding to be operated and does not prompt default object, when there are face image data masked lists by contacts personnel In be then considered to need to shield contacts personnel, then the operation that contacts personnel generate is without corresponding, not by contacts personnel's Visiting information is prompted to user, does not also record conversation content, is only shown, is subtracted when user checks contacts personal information Few unwelcome contacts personnel bother user, improve the intelligence of equipment.
For the basic thought of Gray-scale Matching:Image is regarded as 2D signal with the viewpoint of statistics, using statistical correlation Method find signal between relevant matches.Using the correlation function of two signals, the similitude for evaluating them is of the same name with determination Point.Gray-scale Matching by using certain similarity measurement, such as correlation function, covariance function, poor quadratic sum, poor absolute value and Estimate extreme value, judges the correspondence in two images.Gray-scale Matching method is normalized Gray-scale Matching method, by pixel-by-pixel The gray matrix of a realtime graphic window with a certain size, all possible window gray scale array with reference picture, It is exactly to use image correlation technique in theory by the matching process that certain method for measuring similarity scans for comparing.
Refer to by extracting the feature of two or more images (features such as point, line, surface) respectively, to spy for characteristic matching Sign carries out parameter description, and a kind of matched algorithm is then carried out with described parameter.Handled by feature-based matching The feature that generally comprises of image have color characteristic, textural characteristics, shape feature, spatial position feature etc..Characteristic matching is first Image is pre-processed to extract its high-level feature, then establishes the matching correspondence of feature between two images, Usually used feature primitive has point feature, edge feature and provincial characteristics.Characteristic matching needs to use many such as matrixes Operation, also has the mathematical operations such as Fourier transform and Taylor expansion at the solution of gradient.Common feature extracting and matching method Have:Statistical method, geometric method, modelling, signal processing method, boundary characteristic method, fourier shape description method, geometry parameter method, shape Shape Moment invariants etc..Matching process based on characteristics of image can overcome the shortcomings that being matched using ganmma controller information, by It is many less in the characteristic point compared pixels point of image, greatly reduce the calculation amount of matching process;Meanwhile the matching of characteristic point Metric is more sensitive to the variation of position, can greatly improve matched levels of precision, and the extraction process of characteristic point can subtract The influence of few noise image deformation and blocks etc. to grey scale change and to well adapt to ability.
Cyborg network of vein method for building up provided by the invention based on recognition of face, by carrying out face knowledge to contacts personnel Classification processing is not carried out, can be formed a kind of " electronic memory of human connection ", can people no longer be forgotten in daily use Remember that the friend that forget can not only store it is also possible that people quickly shakes down, can also pass on, pass through The human connection record that this system is recorded, can carry out intelligent information arrangement, and forming a kind of invisible wealth can pass on to offspring, by In the system acquisition process be a kind of long periods of wear process, not only record name and facial image, the interaction of user and its Information can also be recorded well, improve the flexibility associated between men can permanence, promote user experience.
In conjunction with shown in Fig. 2, a kind of cyborg network of vein foundation based on recognition of face accordingly, in the embodiment of the present invention is provided System is applied to the above-mentioned cyborg network of vein method for building up based on recognition of face, and the system comprises video acquisition modules 201, video control module 202, audio collection module 203, audio frequency control module 204, manual control module 205, data transmission Module 206, data processing module 207, storage control module 208, memory module 209 and graphics/audio output equipment 210, it is described Data transmission module 206 respectively with the video acquisition module 201, the video control module 202, the audio collection module 203, the audio frequency control module 204, the data processing module 207, the storage control module 208, the memory module 209 are electrically connected, and the video acquisition module 201 and the audio collection module 203 are respectively by the video at collected scene Image data and audio data pass to the data processing module 207 by the data transmission module 206, at the data Reason module 207 is delivered separately to the memory module 209, the video by the data transmission module 206 by signal is controlled Control module 202, the audio frequency control module 204 and graphics/audio output equipment, the video control module 202 and the sound Frequency control module 204 is manually controlled by the manual control module, and the data processing module 207 is to described in acquisition Vedio data and the audio data are identified, parse and identify the face image data in the vedio data Whether in contacts demographic data library, corresponding operation is executed according to matching result, by carrying out recognition of face to contacts personnel Classification processing is carried out, a kind of " electronic memory of human connection " can be formed, can people no longer be forgotten in daily use The friend that should not be forgotten can not only store it is also possible that people quickly shakes down, and can also pass on, and pass through this The human connection record that system is recorded, can carry out intelligent information arrangement, and forming a kind of invisible wealth can pass on to offspring, due to The system acquisition process is a kind of long periods of wear process, not only record name and facial image, and user believes with the interactive of its Breath can also be recorded well, improve the flexibility associated between men can permanence, promote user experience.
Specifically, data processing module 207 is local data processing module or cloud processing module, at the local data It is to be locally stored or cloud storage to manage module and use CPU processor, GPU processors or special chip, the memory module 209, institute It states data transmission module 206 and uses wire transmission module or wireless transport module, described image audio output apparatus is using aobvious Show device, sound equipment or loud speaker, it is microphone that the video acquisition module 201, which uses camera, the audio collection module 203, Those of ordinary skill in the art can flexibly select, and not limit this.
It is understood that in order to enable system worked well, also there is power pack, the common skill in this field in this programme Art personnel are not it is to be appreciated that limit this.
Specifically, the signal transmission form of the wireless transport module uses bluetooth, Wi-Fi, Zigbee, 4G signal or 5G One or more in signal, those of ordinary skill in the art can flexibly select, and not limit this.
Accordingly, a kind of wearable device is also provided in the embodiment of the present invention, wearable device has the base of above-mentioned introduction System is established in the cyborg network of vein of recognition of face, wearable device here can be intelligent glasses, smartwatch, intelligent hand Ring, intelligent helmet or intelligent headband, the contacts personal information associated in library that retinue acquisition life encounters in living, can also fix It is placed on specified place, by using wearable device provided by the invention not only record name and facial image, user Can also be recorded well with its interactive information, improve the flexibility associated between men can permanence, promoted User experience.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme 's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage Medium may include:Read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc..
Above to a kind of cyborg network of vein method for building up based on recognition of face provided by the present invention, system and wearable Equipment is described in detail, and for those of ordinary skill in the art, the thought of embodiment, is being embodied according to the present invention There will be changes in mode and application range, in conclusion the content of the present specification should not be construed as limiting the invention.

Claims (10)

1. a kind of cyborg network of vein method for building up based on recognition of face, which is characterized in that the method includes:
Initialization pre-establishes contacts demographic data library, and the contacts demographic data library includes pre-stored contacts personnel face Image data, identification information corresponding with the contacts personnel face image data, important contacts personnel face image data with And important session log list;
The face image data that target area occurs is obtained in real time;
The collected face image data is subjected to recognition of face and is compared with the contacts demographic data library;
Corresponding operating is then executed when the face image data meets preset condition.
2. the cyborg network of vein method for building up according to claim 1 based on recognition of face, which is characterized in that described to work as institute It states face image data and meets preset condition and then execute corresponding operating, including:
When the face image data and arbitrary contacts personnel's human face data in the contacts demographic data library match then to Default object sends first way prompt, and the first way prompt includes voice prompt and/or text prompt.
3. the cyborg network of vein method for building up according to claim 1 based on recognition of face, which is characterized in that described to work as institute It states face image data and meets preset condition and then execute corresponding operating, including:
When the face image data and the arbitrary contacts personnel human face data in the contacts demographic data library mismatch then The face image data is recorded, add the identification information of the face image data manually or is obtained by semantics recognition Take corresponding information as the identification information of the face image data.
4. the cyborg network of vein method for building up according to claim 1 based on recognition of face, which is characterized in that described to work as institute It states face image data and meets preset condition and then execute corresponding operating, including:
When existence time or occurrence number reach given threshold then to default to the face image data in real-time gatherer process Object sends prompting message, and the prompting message includes the face image data counterpart personnel time of occurrence and goes out occurrence Number.
5. the cyborg network of vein method for building up according to claim 2 based on recognition of face, which is characterized in that described to work as institute It states face image data and meets preset condition and then execute corresponding operating, including:
When the face image data and the important contacts personnel face image data match then the is sent to default object Two kinds of prompts, second of prompt are different from the first described prompt.
6. the cyborg network of vein method for building up according to claim 1 based on recognition of face, which is characterized in that described to work as institute It states face image data and meets preset condition and then execute corresponding operating, including:
When the face image data and the important session log list match the corresponding people of the face image data then The conversation content of member is recorded in a manner of voice or word.
7. the cyborg network of vein method for building up according to claim 1 based on recognition of face, which is characterized in that the contacts Demographic data library further includes face image data masked list, described then to be executed when the face image data meets preset condition Corresponding operating, including:
When the face image data and the face image data masked list match, it is not responding to the facial image number Default object is not prompted according to corresponding operation and.
8. a kind of cyborg network of vein based on recognition of face establishes system, which is characterized in that be applied to appoint in claim 1 to 7 The cyborg network of vein method for building up based on recognition of face described in one, the system comprises video acquisition module, videos to control Module, audio collection module, audio frequency control module, manual control module, data transmission module, data processing module, storage control Molding block, memory module and graphics/audio output equipment, the data transmission module respectively with the video acquisition module, described Video control module, the audio collection module, the audio frequency control module, the data processing module, storage control Module, the memory module are electrically connected, and the video acquisition module and the audio collection module respectively will be collected existing The vedio data of field passes to the data processing module, the data with audio data by the data transmission module Processing module will control signal by the data transmission module and be delivered separately to the memory module, video control mould Block, the audio frequency control module and graphics/audio output equipment, the video control module pass through with the audio frequency control module The manual control module is manually controlled, the vedio data and the sound of the data processing module to acquisition Whether frequency is according to the face image data for being identified, parsing and identifying in the vedio data in contacts demographic data library In, corresponding operation is executed according to matching result.
9. the cyborg network of vein according to claim 8 based on recognition of face establishes system, which is characterized in that the number According to processing module be local data processing module or cloud processing module, the local data processing module using CPU processor, GPU processors or special chip, the memory module are to be locally stored or cloud storage, and the data transmission module uses wired biography Defeated module or wireless transport module, described image audio output apparatus use display or loudspeaker, the video acquisition mould Block uses camera, and the audio collection module is microphone, the signal transmission form of the wireless transport module using bluetooth, It is one or more in Wi-Fi, Zigbee, 4G signal or 5G signals.
10. a kind of wearable device, which is characterized in that have the cyborg based on recognition of face as claimed in claim 8 or 9 The network of vein establishes system.
CN201810260147.2A 2018-03-27 2018-03-27 Cyborg network of vein method for building up based on recognition of face and relevant device Pending CN108573033A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810260147.2A CN108573033A (en) 2018-03-27 2018-03-27 Cyborg network of vein method for building up based on recognition of face and relevant device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810260147.2A CN108573033A (en) 2018-03-27 2018-03-27 Cyborg network of vein method for building up based on recognition of face and relevant device

Publications (1)

Publication Number Publication Date
CN108573033A true CN108573033A (en) 2018-09-25

Family

ID=63574611

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810260147.2A Pending CN108573033A (en) 2018-03-27 2018-03-27 Cyborg network of vein method for building up based on recognition of face and relevant device

Country Status (1)

Country Link
CN (1) CN108573033A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109920207A (en) * 2019-04-23 2019-06-21 广东小天才科技有限公司 Based reminding method and device are nearby stayed in a kind of waters
CN110443187A (en) * 2019-07-31 2019-11-12 上海秒针网络科技有限公司 The recording method of characteristic information and device

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101739741A (en) * 2009-11-26 2010-06-16 中山大学 Face recognition door control system and method for digital household
CN102572388A (en) * 2011-10-31 2012-07-11 东莞市中控电子技术有限公司 Face-recognition-based network video monitoring device and monitoring recognition method
CN103049459A (en) * 2011-10-17 2013-04-17 天津市亚安科技股份有限公司 Feature recognition based quick video retrieval method
CN104850213A (en) * 2014-02-13 2015-08-19 索尼公司 Wearable electronic device and information processing method used for the same
CN105407201A (en) * 2015-11-24 2016-03-16 小米科技有限责任公司 Contact person information matching method and device, as well as terminal
CN205247406U (en) * 2015-11-18 2016-05-18 湖北亘华工科有限公司 A face identification conversion two -dimensional code equipment for identity record
CN105701463A (en) * 2016-01-12 2016-06-22 上海斐讯数据通信技术有限公司 Method of prompting acquaintance identity and system thereof
CN105956534A (en) * 2016-04-25 2016-09-21 京东方科技集团股份有限公司 Intelligent prompting system and intelligent prompting method based on face identification, and wearable device
CN106782545A (en) * 2016-12-16 2017-05-31 广州视源电子科技股份有限公司 A kind of system and method that audio, video data is changed into writing record

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101739741A (en) * 2009-11-26 2010-06-16 中山大学 Face recognition door control system and method for digital household
CN103049459A (en) * 2011-10-17 2013-04-17 天津市亚安科技股份有限公司 Feature recognition based quick video retrieval method
CN102572388A (en) * 2011-10-31 2012-07-11 东莞市中控电子技术有限公司 Face-recognition-based network video monitoring device and monitoring recognition method
CN104850213A (en) * 2014-02-13 2015-08-19 索尼公司 Wearable electronic device and information processing method used for the same
CN205247406U (en) * 2015-11-18 2016-05-18 湖北亘华工科有限公司 A face identification conversion two -dimensional code equipment for identity record
CN105407201A (en) * 2015-11-24 2016-03-16 小米科技有限责任公司 Contact person information matching method and device, as well as terminal
CN105701463A (en) * 2016-01-12 2016-06-22 上海斐讯数据通信技术有限公司 Method of prompting acquaintance identity and system thereof
CN105956534A (en) * 2016-04-25 2016-09-21 京东方科技集团股份有限公司 Intelligent prompting system and intelligent prompting method based on face identification, and wearable device
CN106782545A (en) * 2016-12-16 2017-05-31 广州视源电子科技股份有限公司 A kind of system and method that audio, video data is changed into writing record

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109920207A (en) * 2019-04-23 2019-06-21 广东小天才科技有限公司 Based reminding method and device are nearby stayed in a kind of waters
CN110443187A (en) * 2019-07-31 2019-11-12 上海秒针网络科技有限公司 The recording method of characteristic information and device
CN110443187B (en) * 2019-07-31 2022-08-26 上海秒针网络科技有限公司 Recording method and device of characteristic information

Similar Documents

Publication Publication Date Title
CN107358241B (en) Image processing method, image processing device, storage medium and electronic equipment
CN108198130B (en) Image processing method, image processing device, storage medium and electronic equipment
KR102195922B1 (en) Internet-based facial beautification system
CN108039988B (en) Equipment control processing method and device
WO2020168468A1 (en) Help-seeking method and device based on expression recognition, electronic apparatus and storage medium
CN105744292B (en) A kind of processing method and processing device of video data
CN104021398A (en) Wearable intelligent device and method for assisting identity recognition
CN107832784B (en) Image beautifying method and mobile terminal
CN110418095B (en) Virtual scene processing method and device, electronic equipment and storage medium
CN109697416A (en) A kind of video data handling procedure and relevant apparatus
CN106507021A (en) Method for processing video frequency and terminal device
CN104170374A (en) Modifying an appearance of a participant during a video conference
CN103442137A (en) Method for allowing a user to look over virtual face of opposite side in mobile phone communication
CN113947376B (en) C/S (computer/subscriber line) card punching method and device based on multiple biological characteristics
CN114187547A (en) Target video output method and device, storage medium and electronic device
CN111291151A (en) Interaction method and device and computer equipment
CN113840158B (en) Virtual image generation method, device, server and storage medium
CN107943811A (en) The dissemination method and device of content
CN109272466A (en) A kind of tooth beautification method and device
CN110536095A (en) Call method, device, terminal and storage medium
CN208351494U (en) Face identification system
CN109167914A (en) A kind of image processing method and mobile terminal
CN110730330B (en) Sound processing method and device, doorbell and computer readable storage medium
CN108573033A (en) Cyborg network of vein method for building up based on recognition of face and relevant device
CN109986553B (en) Active interaction robot, system, method and storage device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20191012

Address after: Room E301, 1759 Mingxi Road, Beihu Science and Technology Development Zone, Changchun City, Jilin Province, 130000

Applicant after: Changchun Mayor Guangxinyi Technology Co., Ltd.

Address before: 130033, No. 3888 southeast Lake Road, Changchun economic and Technological Development Zone, Jilin

Applicant before: Changchun Inst. of Optics and Fine Mechanics and Physics, Chinese Academy of Sci