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 PDFInfo
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 68
- 210000003462 vein Anatomy 0.000 title claims abstract description 30
- 230000008569 process Effects 0.000 claims abstract description 19
- 230000001815 facial effect Effects 0.000 claims abstract description 6
- 230000005540 biological transmission Effects 0.000 claims description 18
- 230000008054 signal transmission Effects 0.000 claims description 3
- 238000000465 moulding Methods 0.000 claims description 2
- 230000002452 interceptive effect Effects 0.000 abstract description 4
- 230000006399 behavior Effects 0.000 description 5
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000005314 correlation function Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social 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
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.
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)
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)
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 |
-
2018
- 2018-03-27 CN CN201810260147.2A patent/CN108573033A/en active Pending
Patent Citations (9)
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)
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 |