CN108022331A - The method and apparatus that recognition of face is realized in access control system - Google Patents
The method and apparatus that recognition of face is realized in access control system Download PDFInfo
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- CN108022331A CN108022331A CN201610934803.3A CN201610934803A CN108022331A CN 108022331 A CN108022331 A CN 108022331A CN 201610934803 A CN201610934803 A CN 201610934803A CN 108022331 A CN108022331 A CN 108022331A
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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Abstract
The disclosure discloses the method and apparatus that recognition of face is realized in a kind of access control system.The described method includes：Identification by when carry out for respective user information the primary data of recognition of face and prepare, the corresponding face representation data of user information are obtained, until enable recognition of face in access control system；The recognition of face in access control system is carried out by face representation data；In access control system identification and/or recognition of face by when perform gate inhibition's clearance and act.For the personnel for passing in and out gate inhibition each time by gate inhibition and by identification after, primary data set-up procedure will all be carried out and obtain face representation data, since primary data set-up procedure is carried out for disengaging gate inhibition personnel, therefore the data volume being related to is smaller, this primary data set-up procedure is repeated in identification each time, until enabling recognition of face in access control system, the Data Preparation Process of big data quantity is avoided, so that recognition of face can not no longer be applied due to the presence of big data quantity.
Description
Technical field
This disclosure relates to Computer Applied Technology field, method that recognition of face is realized in more particularly to a kind of access control system
And device.
Background technology
The modes such as access control system mostly use is swiped the card, the input of password or fingerprint initiate identification, pass in and out the people of gate inhibition
Member can let pass after by identification.With the development of face recognition technology, face recognition technology is also applied to door
In access control system, the personnel identity of disengaging gate inhibition is confirmed by carrying out recognition of face, and then this is let pass by rear in recognition of face
The personnel of gate inhibition.
But the realization for recognition of face in access control system for the personnel of all disengaging gate inhibitions, it is necessary to perform face
The Data Preparation Process of identification.For example, signified Data Preparation Process mostly includes data acquisition and deep learning two is big
Part.
Personnel for a disengaging gate inhibition, it is necessary to mass data ensures the realization of its recognition of face in access control system,
Therefore, Data Preparation Process by be mass data implementation procedure.
Specifically, multiple data acquisition will be carried out to the personnel of a disengaging gate inhibition to obtain the big of this disengaging gate inhibition personnel
Data are measured, and so on, the data volume collected for all disengaging gate inhibition personnel is huge.
It is corresponding, the computing of huge data volume is just also faced to the process of the data progress deep learning of this collection
Process, and then cause not carrying out since data volume is huge.
Therefore, recognition of face will meet with the application of access control system due to the huge data volume present in data preparation stage
To great limitation.
The content of the invention
It is dfficult to apply to solve recognition of face in correlation technique due to the Data Preparation Process there are big data quantity
The technical problem of access control system, present disclose provides the method and apparatus that recognition of face is realized in a kind of access control system.
A kind of method that recognition of face is realized in access control system, the described method includes：
In access control system identification by when for pass through the user information of the identification carry out recognition of face just
Beginning data preparation, obtains the corresponding face representation data of the user information, until enabling face knowledge in the access control system
Not；
The recognition of face in the access control system is carried out by the corresponding face representation data of the user information；
In the access control system identification and/or recognition of face by when, control the access control system to perform gate inhibition and put
Action is made.
The device of recognition of face is realized in a kind of access control system, described device includes：
Primary data preparation module, for identification in access control system by when to pass through the user of the identification
The primary data that information carries out recognition of face prepares, and obtains the corresponding face representation data of the user information, until described
Recognition of face is enabled in access control system；
Face recognition module, for being carried out by the corresponding face representation data of the user information in the access control system
Recognition of face；
Access control module, for identification in the access control system and/or recognition of face by when, control the door
Access control system performs gate inhibition's clearance action.
The technical scheme provided by this disclosed embodiment can include the following benefits：
To realize the application of recognition of face in access control system, in access control system identification by when, to pass through identity
The primary data that the user information of identification carries out recognition of face prepares, and obtains the corresponding face representation data of user information, until
Recognition of face is enabled in access control system, that is to say, that for the personnel for passing in and out gate inhibition, it is each time by gate inhibition and complete
Into after identification, required primary data set-up procedure will be all carried out, to obtain corresponding face representation data, due to
This primary data set-up procedure be for this disengaging gate inhibition personnel carry out, therefore, involved data volume is smaller, be one compared with
The primary data set-up procedure of small data quantity, repeats this primary data set-up procedure in identification each time, until in door
Recognition of face is enabled in access control system, thus, the primary data set-up procedure of big data quantity is avoided, so that recognition of face is not
Access control system can not be applied to due to the presence of the primary data set-up procedure of big data quantity again.
In addition, after access control system enables recognition of face, by by the face representation data corresponding to user information into
Recognition of face in row access control system, in access control system identification and/or recognition of face by when, access control system performs
Gate inhibition's clearance acts, thus, will cause in access control system by way of original identification and recognition of face are combined come for
Pass in and out gate inhibition personnel provide it is a variety of by way of gate inhibition, on the one hand ensure that disengaging gate inhibition personnel by access control system into
Go out the reliability of gate inhibition, on the other hand also so that the security of access control system is strengthened.
It should be appreciated that the general description and following detailed description of the above are only exemplary, this can not be limited
It is open.
Brief description of the drawings
Attached drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the present invention
Example, and in specification together for explaining the principle of the present invention.
Fig. 1 is the schematic diagram of the implementation environment according to involved by the disclosure；
Fig. 2 is the flow for the method that recognition of face is realized in a kind of access control system according to an exemplary embodiment
Figure；
Fig. 3 be Fig. 2 correspond to implement exemplify to identification in access control system by when for by the use of identification
The primary data that family information carries out recognition of face prepares, and obtains the corresponding face representation data of user information, until being in gate inhibition
The flow chart that the details of recognition of face step is described is enabled in system；
Fig. 4 is the flow for the method that recognition of face is realized in a kind of access control system according to an exemplary embodiment
Figure；
Fig. 5 be Fig. 2 correspond to implement to exemplify to carrying out access control system by the corresponding face representation data of user information
In recognition of face step the flow chart that is described of details；
Fig. 6 is the block diagram for the device that recognition of face is realized in a kind of access control system according to an exemplary embodiment；
Fig. 7 is that Fig. 6 corresponds to the block diagram that the details of primary data preparation module is described for implementing to exemplify；
Fig. 8 is the frame for the device that recognition of face is realized in a kind of access control system shown according to another exemplary embodiment
Figure；
Fig. 9 is that Fig. 6 corresponds to the block diagram that the details of face recognition module is described for implementing to exemplify；
Figure 10 is a kind of block diagram of device according to an exemplary embodiment.
Embodiment
Here explanation will be performed to exemplary embodiment in detail, its example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar key element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects being described in detail in claims, of the invention.
Fig. 1 is the schematic diagram of the implementation environment according to involved by the disclosure.The implementation environment is access control system, access control system
Including：Gate inhibition 110, gate inhibition's identity recognizer 130, recognition of face door access machine 150 and access control equipment 170.
Gate inhibition 110 will perform gate inhibition's clearance action under the control of access control equipment 170.Gate inhibition's identity recognizer 130,
Can be entrance guard card reader, or gate inhibition's fingerprint input device etc. is distinguished with recognition of face door access machine 150, to by swiping the card,
Fingerprint, password etc. are different from the mode of recognition of face, identify that mandate carries out out gate inhibition's under the cooperation of access control equipment
Personnel, and then realize the execution that gate inhibition's clearance acts in gate inhibition 110.
Recognition of face door access machine 150, for gathering facial image to be identified to the personnel for passing in and out gate inhibition, and in access control
Recognition of face is completed under the cooperation of equipment 170, to identify that mandate carries out out the personnel of gate inhibition, and then realizes door in gate inhibition 110
The execution that firework control action is made.
Fig. 2 is the flow for the method that recognition of face is realized in a kind of access control system according to an exemplary embodiment
Figure.The method of recognition of face is realized in the access control system, as shown in Fig. 2, may comprise steps of.
In step 210, in access control system identification by when for pass through the user information of identification carry out face
The primary data of identification prepares, and obtains the corresponding face representation data of user information, until enabling face knowledge in access control system
Not.
Wherein, it is necessary first to which explanation, identification are to be different from recognition of face, and are applied to access control system
Other identification methods.For example, identification can be by the identification process of the disengaging gate inhibition's personnel identity for progress of swiping the card,
It can be the process that the disengaging gate inhibition personnel identity carried out by fingerprint identifies, can also be the disengaging gate inhibition carried out by password
Personnel identity identification process, herein without limiting.
In one exemplary embodiment, it is possible to understand that, for access control system, mostly there is existing identity knowledge for it
Other application, and recognition of face is then the another application configured in this access control system.
For example, for the access control system of normal operation, it certainly exists one or several kinds of identifications
Using, for example, the access control system of an operation is to pass in and out gate inhibition by swiping the card initiation identification, in this access control system,
It will prepare by means of swiping the card initiated identification to complete the primary data of recognition of face.
Thus, will cause the realization of recognition of face in access control system, can compatible existing access control system, and then possess non-
Often high versatility.
User information is to be uniquely corresponding to the personnel of disengaging gate inhibition, and user information includes the mark of the personnel of disengaging gate inhibition
Information and other relevant informations are known, herein without limiting.
For the personnel of a disengaging gate inhibition, identification will be carried out in access control system, in identification by being afterwards
It can determine that its corresponding user information, that is, obtain the user information by identification.It should be understood that for a disengaging gate inhibition
The primary data set-up procedure that carries out of personnel, in data, be carried out for user information recognition of face primary data it is accurate
Standby process.
In identification by afterwards, just initiating primary data set-up procedure for this user information, so it is initial herein
The corresponding face representation data of user information are obtained in Data Preparation Process.
Face representation data are the face characteristic description of the unique corresponding disengaging gate inhibition personnel of user information for this, pass through people
Face represent data come complete disengaging gate inhibition personnel face characteristic identification, and then determine disengaging gate inhibition personnel whether by its
The recognition of face carried out in access control system.
The personnel of each disengaging gate inhibition initiate the initial number of itself in access control system when own identification is identified by
According to set-up procedure, prepare until completing itself required primary data, obtain preparing the face table for realizing recognition of face enough
Registration according to when, you can terminate this disengaging gate inhibition personnel primary data set-up procedure, recognition of face is enabled in access control system.
In one exemplary embodiment, it is possible to specify a unified time limit, in this time limit, any disengaging
The personnel of gate inhibition perform primary data set-up procedure after the identification by access control system, and so on, realize institute
There is the primary data set-up procedure of disengaging gate inhibition personnel, obtain all disengaging gate inhibition personnel each corresponding face table of user information
Registration evidence, realizes that the primary data of recognition of face in access control system prepares to complete all disengaging gate inhibition personnel.
In another exemplary embodiment, it is possible to specify primary data be ready to carry out number, for one disengaging gate inhibition
Personnel, the execution number that its primary data prepares reaches this specified data and is ready to carry out after number, you can terminates itself
Recognition of face primary data prepare, access control system by for this pass in and out gate inhibition personnel enable recognition of face, thus, will cause just
The situation that the realization of beginning Data Preparation Process passes in and out gate inhibition with disengaging gate inhibition personnel is adapted, and improves primary data set-up procedure
Adaptivity.
Briefly, prepare in access control system by existing identification to complete the primary data of recognition of face, a side
Face, the user information of disengaging gate inhibition personnel is determined by identification, also confirms that this disengaging gate inhibition personnel allow by gate inhibition
Personnel, and then the corresponding face representation data of user information are obtained, for realizing the recognition of face of this disengaging gate inhibition personnel.
The execution that primary data prepares, is the single implementation procedure only for a disengaging gate inhibition personnel, and data volume is small, and
And under the auxiliary of identification, ensure that security, also so as to directly obtaining the user information of granted authorized access gate inhibition,
This improves the treatment effeciency of primary data set-up procedure.
In step 230, the recognition of face in access control system is carried out by the corresponding face representation data of user information.
Wherein, after the primary data that recognition of face is completed by abovementioned steps prepares, you can using user information pair
The face representation data answered carry out the recognition of face in access control system, and at this time, the corresponding disengaging gate inhibition personnel of this user information can
Directly enter gate inhibition via recognition of face.
In step 250, in access control system identification and/or recognition of face by when, access control system performs door
Firework control action is made.
Wherein it is possible to understand, in this access control system, by way of gate inhibition is entered identification, also deposit
By way of recognition of face enters gate inhibition.
At this point it is possible to using any of which mode, or using two ways confirm to pass in and out the identity of gate inhibition personnel, tool
Body will be adjusted flexibly according to the considering for needs and security actually runed.
There is identification and the application of recognition of face in access control system, for the recognition of face carried out, such as
, can be via identity when fruit leads to not pass through recognition of face due to passing in and out gate inhibition personnel face there occurs the change in moulding
Identification enters gate inhibition, and avoids the situation of the personnel of this disengaging gate inhibition of access control system None- identified, ensures the reliable of access control system
Property.
In addition, also providing dual safety mechanism for access control system, access control system can be strengthened in case of need
Security.
Fig. 3 is the flow chart that the details of step 210 is described according to an exemplary embodiment.The step 210, such as schemes
Shown in 3, it may comprise steps of.
In step 211, the identification in access control system is received by instruction, and identification is that gate inhibition is by instruction
It is different from what is generated in the identification procedure of recognition of face in system.
Wherein, identification is used to indicate that access control system is currently known by the identity of a disengaging gate inhibition personnel by instructing
Not.The identification carried out is by the reception of instruction by for initiating this primary data set-up procedure for passing in and out gate inhibition personnel.
In step 213, facial image is gathered by instruction triggers according to identification.
Wherein, after identification is received by instruction, the disengaging gate inhibition people for currently having passed through identification
Member, will carry out man face image acquiring to it.
In step 215, deep learning facial image obtains face representation data.
Wherein, after to currently gathering facial image by the disengaging gate inhibition personnel of identification, directly to this face figure
As carrying out deep learning, to obtain the face representation data of this disengaging gate inhibition personnel.
In step 217, the pairing of the meaning of face representation data and the user information for passing through identification is carried out, by face
Represent data storage corresponding with the user information matched.
Wherein, the user information by identification is obtained by instruction by identification, so carry out user information and
The pairing of face representation data therebetween so that the face representation data that deep learning obtains can correspond to user information,
And storage corresponding with user information, thus facilitate in the recognition of face subsequently carried out, can be by matching obtained face
Represent that data obtain corresponding user information, and then be identified through the disengaging gate inhibition personnel of recognition of face.
By process as described above, once enter gate inhibition what is carried out by the personnel of a disengaging gate inhibition in access control system
Process provides the specific implementation of a primary data set-up procedure, it follows that primary data set-up procedure will passed in and out
The personnel of gate inhibition by identification enter gate inhibition each time during perform, therefore, it is possible to avoiding depositing for big data quantity
.
In one exemplary embodiment, the method that recognition of face is realized in the access control system, can also include following step
Suddenly.
In access control system recognition of face by when for pass through the user information of recognition of face carry out recognition of face number again
According to preparation, the corresponding face representation data of user information are obtained.
Wherein, such as Fig. 2, to correspond to embodiment described, in access control system, applies identification and recognition of face, can adopt
Acted with one of them or at the same time using two ways to be confirmed whether to perform gate inhibition's clearance.
With in access control system recognition of face by will be accurate to perform data again by the user information of recognition of face
Standby process, as previously described, will also obtain the corresponding face representation data of user information.
Thus, the number again of recognition of face by ongoing face recognition process in access control system, will constantly be carried out
According to preparation, the face representation data of more horn of plenty are obtained, and then the accuracy of follow-up recognition of face can be continuously improved.
By process as described above, also by the recognition of face for subsequently to be carried out by adapting to disengaging gate inhibition personnel's
Change, improves the adaptivity of recognition of face.
In one exemplary embodiment, user information corresponds to a plurality of face representation data, and people is realized in the access control system
Face knows method for distinguishing, can also comprise the following steps.
In access control system recognition of face by when, determine to pass through people from the corresponding a plurality of face representation data of user information
The face representation data that face is identified and used, raise the priority of face representation data.
Wherein it is possible to understand, embodiment is corresponded to by Fig. 2, there may be corresponding one for user information
Or a plurality of face representation data, and with the described recognition of face of previous embodiment progress and constantly to passing through face
The user information of identification performs Data Preparation Process again, thus just so that the corresponding face representation data of user information are continuous
It is abundant.
When user information corresponds to a plurality of face representation data, the face recognition process corresponding to it will be by wherein one
What bar face representation data passed through to realize the recognition of face of disengaging gate inhibition personnel.
And in the corresponding a plurality of face representation data of user information, each face representation data are corresponding preferential
Level, the corresponding priority of face representation data will correspond to face representation data with it and be used and obtain in face recognition process
To continuous up-regulation.
Specifically, in the recognition of face that access control system carries out disengaging gate inhibition personnel, if recognition of face is by really
Surely the face representation data gathered by this face recognition process, i.e., with passing in and out the current institute's face the most matched of gate inhibition personnel
Represent data, its priority is raised.
Current face's identification uses and successfully identifies the face representation data of disengaging gate inhibition personnel, is for current institute
The recognition of face of progress and be somebody's turn to do, therefore face representation data the most applicable, will raise its priority so that after
In continuous face recognition process, a plurality of face representation data corresponding for a user information can be according to each corresponding excellent
First level is come the matching order that determines its with pass in and out gate inhibition personnel, by more can rapidly be found under the action of this priority
The face representation data matched somebody with somebody, and then improve the speed of recognition of face in access control system.
Specifically, face recognition process, the substantially matching process of face collection and face representation data, are come true with this
Fixed matched face representation data, and then determine whether the recognition of face by currently being carried out.
Facial image to be identified is obtained by face collection, in the facial image and face representation data subsequently carried out
During matching somebody with somebody, it is carried out respectively according to user information.
That is, being directed to a user information, its matching order is determined according to the priority of each face representation data, it is excellent
The high face representation data of first level, will preferentially carry out its matching with facial image to be identified.
For face recognition process, just can Rapid matching to face representation data the most possible.
Fig. 4 is the flow for the method that recognition of face is realized in a kind of access control system according to an exemplary embodiment
Figure.In previous embodiment in access control system recognition of face by when, from the corresponding a plurality of face representation data of user information really
Surely by recognition of face and the face representation data that use, after the priority tasks for raising face representation data, gate inhibition system
The method that recognition of face is realized in system, as shown in figure 4, can also comprise the following steps.
In the step 310, in the corresponding a plurality of face representation data of user information, according to the excellent of each bar face representation data
First level, determines that priority reaches the face representation data of specified threshold.
Wherein, with recognition of face by when ongoing Data Preparation Process again, the people corresponding to user information
Face expression data also will be more and more be, it is necessary to carry out the cleaning of face representation data according to priority, and then avoid redundancy people
Face represents the presence of data.
The corresponding a plurality of face representation data of user information, there is two stages, first, face representation data is rich
In the rich stage, the accuracy of recognition of face is improved by the face representation data enriched constantly, at this time, corresponding to user information
A plurality of face representation data contribute to recognition of face, therefore and are not present redundancy face representation data；Second, it is then people
Face represents the redundancy stage of data.
With enriching constantly for the corresponding face representation data of user information, and in the recognition of face carried out, this
User information correspond to disengaging gate inhibition personnel identification, will only with corresponding one or several face representation data, and remaining
A few face representation data do not use then, this several face representation data are the corresponding redundancy face table of user information
Registration is according to, it is necessary to clear up it.
In an exemplary embodiment in the specific implementation, being configured with a specified threshold, this specified threshold is used to distinguish user
Information corresponds to the abundant stage and redundancy stage of a plurality of face representation data.
As previous embodiment is described, as face representation data are used in recognition of face, its priority also will be by
Corresponding up-regulation, therefore, more how adopted face representation data, its priority is higher.
Therefore, in the corresponding a plurality of face representation data of user information, this specified threshold is reached if there is priority
Face representation data, then illustrate that the corresponding a plurality of face representation data of this user information information enter the redundancy stage, it is thus necessary to determine that
Effective face representation data, i.e. priority reach the face representation data of specified threshold, and then remaining other face representations
Data are redundancy face representation data, it is necessary to clear up it, to avoid excessive face representation data to access control system
Recognition of face interfere, and discharge memory space.
In a step 330, according to priority reach specified threshold face representation data dump user information it is corresponding its
Its face representation data.
By process as described above, redundant data cleaning mechanism is provided for the realization of recognition of face in access control system,
And then it ensure that light weight quickly realizes recognition of face.
Fig. 5 is the flow chart that the details of step 230 is described according to an exemplary embodiment.For user
Information configuration has the corresponding standard value of face representation data, the step 230, as shown in figure 4, may comprise steps of.
In step 231, carry out face and collect facial image to be identified.
Wherein, for the initiation of a face recognition process, face figure to be identified will be gathered to the personnel for passing in and out gate inhibition first
Picture.
In step 233, facial image and face representation data to be identified are matched, determine to match with facial image to be identified
Spend highest face representation data.
Wherein, in the corresponding face representation data of all user informations stored, the identification face figure such as carry out
The matching of picture and face representation data, and then determined by the matching degree of facial image to be identified and the meaning of face representation data
By recognition of face and the face representation data that use.
Specifically, by the matching by facial image to be identified and face representation data therebetween, corresponding is obtained
With degree, and then determine the highest face representation data of matching degree.
It should be understood that matching degree is higher, the unique corresponding disengaging gate inhibition of this corresponding user information of face representation data
The possibility that personnel are the personnel of the current disengaging gate inhibition for carrying out recognition of face is higher, therefore, by the height according to matching degree
Come determine recognition of face whether by and corresponding to the current disengaging gate inhibition personnel for carrying out recognition of face user information.
In this step 235, judge whether matching degree reaches the corresponding standard value of face representation data, if YES, then hold
Row step 237, if NO, then terminates.
Wherein, after being determined and waiting the identification highest face image data of facial image matching degree, just to this numerical value
Highest matching degree judged, can be by currently being carried out to confirm that it exceeds the corresponding standard value of face representation data
Recognition of face.
The corresponding standard value of face representation data is configured with for user information.That is, authorize the people of disengaging gate inhibition
Member, is configured with it and matching degree is weighed in recognition of face whether to characterize facial image to be identified similar to face representation data
Standard value, it is using as the threshold by recognition of face.
In one exemplary embodiment, it can be all personnel for authorizing disengaging gate inhibition, be configured with unified standard
Value or the operating condition in recognition of face, each personnel for authorizing disengaging gate inhibition, there is each corresponding mark
Quasi- value.No matter which kind of mode to be the corresponding standard value of user information configuration face representation data by, it can be in follow-up people
In face identification, it is adjusted flexibly according to actual conditions.
In step 237, the face knowledge figure of access control system passes through, according to the highest people of facial image matching degree to be identified
Face represents that data determine the user information by recognition of face.
Wherein, if obtained matching degree is matched between facial image to be identified and face representation data has reached this person
Face represents the corresponding standard value of data, then illustrate facial image to be identified to face representation data be it is similar, can will be currently
The gate inhibition personnel for carrying out recognition of face are considered as corresponding authorize of face representation data and pass in and out gate inhibition personnel, at this time, by this with treating
The highest face representation data of identification facial image matching degree can determine that currently by the user information of recognition of face.
By process as described above, specific implementation is provided for the recognition of face in access control system, for passing in and out gate inhibition
Personnel, all can by process as described above by recognition of face, and then the gate inhibition performed by access control system let pass it is dynamic
Make and enter gate inhibition.
It is corresponding, according to the specific implementation of recognition of face as described above, realize that face is known in the access control system
Method for distinguishing, can also comprise the following steps.
According to facial image to be identified and the matching degree of face representation data, for user information dynamic adjustment face representation
The corresponding standard value of data.
Wherein, in the recognition of face that access control system is carried out, no matter whether the recognition of face carried out is by being required for
According to highest matching degree between facial image to be identified and face representation data come to adjust user information be face representation data
The standard value of configuration.
It should be noted that this user information, is and the highest face representation number of facial image matching degree to be identified
According to corresponding.
When the recognition of face that i.e. toilet carries out is not through, with the highest face representation number of facial image matching degree to be identified
According to, be still recognition result the most possible, for example, for it is a certain be difficult to by recognition of face mandate disengaging gate inhibition people
Member, should lower for the standard value that its user information is face representation data configuration.
And for being easy to the personnel of the mandate disengaging gate inhibition by recognition of face, also can be by raising its standard value come into one
Step improves the security of access control system.
In one exemplary embodiment, according to the matching degree of facial image to be identified and face representation data, for
The corresponding standard value step of family information dynamic adjustment face representation data, can include：
If it is determined that reaching standard value corresponding in face representation data to matching degree, then the use by recognition of face is directed to
Family information continue through the data statistics of recognition of face, and when the data of statistics reach preset condition, up-regulation is believed for user
Cease for the standard value of face representation data configuration.
Wherein, corresponded in Fig. 5 after embodiment passed through recognition of face, know that the matching degree in recognition of face has reached one
The corresponding standard value of face representation data.Between face representation data and facial image to be identified corresponding to this standard value
It is highest matching degree with degree.
It is to be face table for user information as previously described for this corresponding standard value of face representation data
Show data configuration.Therefore, standard value is uniquely corresponding to user information.
After via this corresponding standard value of face representation data by recognition of face, respective user information pair is counted
The mandate disengaging gate inhibition personnel answered continue through the situation of recognition of face, such as, if continuous several times by recognition of face, or
Whether can be quickly through recognition of face, if it is, illustrating that this authorizes disengaging gate inhibition personnel to be easy to pass through in a period
Recognition of face, can carry out the up-regulation of respective standard value, and recognition of face is carried out by the standard value of higher, and then being capable of maximum limit
Degree avoids and this mandate disengaging gate inhibition personnel image disengaging gate inhibition.
In this regard, the data statistics carried out, can be that statistics this mandate disengaging gate inhibition personnel continue through recognition of face
Number or other data, herein without limiting.
In another exemplary embodiment, according to the matching degree of facial image to be identified and face representation data, for
The corresponding standard value of user information dynamic adjustment face representation data, including：
If it is determined that the corresponding standard value of face representation data is not up to matching degree, and identification is led in access control system
Cross, then lower for the standard value that user information is face representation data configuration.
Wherein, Fig. 5 is corresponded in the recognition of face of embodiment progress, even if the personnel of disengaging gate inhibition are not through face knowledge
Not, also can via between facial image to be identified the highest face representation data of matching degree obtain corresponding standard value.Such as
Described in preceding, this standard value is uniquely corresponding to user information, that is to say, that the corresponding a plurality of face representation number of user information
According to using the progress recognition of face of this standard value.
It is described that embodiment is corresponded to according to Fig. 2, there is identification and recognition of face in access control system, therefore,
In the case of recognition of face is unsanctioned, if identification is by that can confirm the recognition of face failure currently carried out, still
The current disengaging gate inhibition personnel for carrying out recognition of face have passed through identification, that is, it is recognition of face failure to pass in and out gate inhibition personnel
Authorize disengaging gate inhibition personnel.
At this time, the downward of standard value will be carried out, so that recognition of face can realize the identification of this disengaging gate inhibition personnel.
By process as described above, adaptive adjustment is provided for recognition of face in access control system, and then ensure that
Each disengaging gate inhibition personnel realize recognition of face in access control system, and also without arranging extra Data Preparation Process, into
And reduce workload, the use for passing in and out gate inhibition personnel will not be impacted.
It should be noted that in recognition of face not by the way that and identification is in the case of, also can be to this inlet/outlet
Personnel's prompting of taboo re-starts collection and the deep learning of facial image, still, personnel and difference in this disengaging gate inhibition
In the case of meaning, the reality that process as described above ensures this disengaging gate inhibition personnel recognition of face in access control system will pass through
It is existing.
Following is embodiment of the present disclosure, can be used for performing in the above-mentioned access control system of the disclosure and realizes recognition of face
Embodiment of the method.For the details not disclosed in embodiment of the present disclosure, it refer in disclosure access control system and realize face
The embodiment of the method for Chinese alligator.
Fig. 6 is the block diagram for the device that recognition of face is realized in a kind of access control system according to an exemplary embodiment.
Realize that the device of recognition of face can be applied in the implementation environment shown in Fig. 1 in the access control system, perform the gate inhibition shown in Fig. 2
The Overall Steps of the method for recognition of face are realized in system.As shown in fig. 6, the device of recognition of face is realized in the access control system,
Including but not limited to：Primary data preparation module 510, face recognition module 530 and access control module 550.
Primary data preparation module 510, for identification in access control system by when to pass through the user of identification
The primary data that information carries out recognition of face prepares, and obtains the corresponding face representation data of user information, until in access control system
Enable recognition of face.
Face recognition module 530, for carrying out the people in access control system by the corresponding face representation data of user information
Face identifies.
Access control module 550, for identification in access control system and/or recognition of face by when, access control system
System performs gate inhibition's clearance action.
Fig. 7 is the block diagram that the details of primary data preparation module is described according to an exemplary embodiment.This is initial
Data preparation module 510, as shown in fig. 7, can include but is not limited to：Instruction reception unit 511, elementary area 513, depth
Practise unit 515 and data pairing unit 517.
Instruction reception unit 511, passes through instruction for receiving the identification in access control system by instruction, identification
It is to be different from the identification procedure of recognition of face to generate in access control system.
Image acquisition units 513, for gathering facial image by instruction triggers according to identification.
Deep learning unit 515, face representation data are obtained for deep learning facial image.
Data pair unit 517, for carrying out matching somebody with somebody between face representation data and the user information for passing through identification
It is right, by the storage corresponding with the user information matched of face representation data.
In one exemplary embodiment, the device of recognition of face is realized in the access control system, further includes but is not limited to：Again
Secondary preparation data module.
This prepare again data module be used for access control system in recognition of face by when for by the user of recognition of face believe
Breath carries out the data preparation again of recognition of face, obtains the corresponding face representation data of user information.
In another exemplary embodiment, user information corresponds to a plurality of face representation data, is realized in the access control system
The device of recognition of face, further includes but is not limited to：Priority raises module.
The priority up-regulation module be used for access control system in recognition of face by when, from the corresponding a plurality of face of user information
Represent to determine in data by recognition of face and the face representation data used, the priority of up-regulation face representation data.
Fig. 8 is the block diagram for the device that recognition of face is realized in a kind of access control system according to an exemplary embodiment.
The device of recognition of face is realized in the access control system, as shown in figure 8, further including but being not limited to：Data screening module 610 and data
Remove module 630.
Data screening module 610, in the corresponding a plurality of face representation data of user information, according to each bar face representation
The priority of data, determines that priority reaches the face representation data of specified threshold.
Data dump module 630, for reaching the face representation data dump user information of specified threshold according to priority
Corresponding other face representation data.
Fig. 9 is the block diagram that the details of face recognition module is described according to an exemplary embodiment.The people
Face identification module 530, as shown in figure 9, can include but is not limited to：Face collecting unit 531, matching unit 532, matching degree are sentenced
Disconnected unit 533 and user information determination unit 535.
Face collecting unit 531, facial image to be identified is collected for carrying out face.
Matching unit 532, for matching facial image and face representation data to be identified, determines and facial image to be identified
The highest face representation data of matching degree.
Matching degree judging unit 533, for judging whether matching degree reaches the corresponding standard value of face representation data, if
It is yes, then triggers user information determination unit 535, if NO, then terminate.
User information determination unit 535, for access control system recognition of face by, according to face figure to be identified
The user information by recognition of face is determined as the most main face representation data of matching degree.
It is corresponding, the device of recognition of face is realized in the access control system, further includes standard value adjustment module.
Standard value adjustment module is used for the matching degree according to facial image to be identified and face representation data, for user
The corresponding standard value of information dynamic adjustment face representation data.
In one exemplary embodiment, standard value adjustment module is further used for if it is determined that reaching to the matching degree
The corresponding standard value of face representation data, then carry out continuing through face for described by the user information of the recognition of face
The data statistics of identification, when the data of statistics reach preset condition, up-regulation is matched somebody with somebody for the user information for face representation data
The standard value put.
In another exemplary embodiment, standard value adjustment module carries out a step for if it is determined that not reached to matching degree
To the corresponding standard value of face representation data, and in access control system identification by the way that it for user information is face then to lower
Represent the standard value of data configuration.
Figure 10 is a kind of block diagram of device 700 according to an exemplary embodiment.For example, device 700 can be Fig. 1
Access control equipment 170 in shown implementation environment.
The device 700 can produce bigger difference because configuration or performance are different, can include one or more
Central processing unit (central processing units, CPU) 722 (for example, one or more processors) and storage
Device 732, one or more storage application programs 742 or data 744 storage medium 730 (such as one or more
Mass memory unit).Wherein, memory 732 and storage medium 730 can be of short duration storage or persistently storage.It is stored in storage
The program of medium 730 can include one or more modules (diagram is not shown), and each module can include to device 700
In series of instructions operation.Further, central processing unit 722 could be provided as communicating with storage medium 730, in device
The series of instructions operation in storage medium 730 is performed on 700.Device 700 can also include one or more power supplys
726, one or more wired or wireless network interfaces 750, one or more input/output interfaces 758, and/or,
One or more operating systems 741, such as Windows ServerTM, MacOS XTM, UnixTM, LinuxTM,
FreeBSDTM etc..Described in above-mentioned Fig. 2, Fig. 3, Fig. 4 and embodiment illustrated in fig. 5 as performed by access control equipment
Step can be based on the apparatus structure shown in the Fig. 7.
Optionally, the disclosure also provides a kind of access control equipment, which can be used for implementing shown in Fig. 1
In environment, perform Fig. 2, Fig. 3, Fig. 4 and Fig. 5 it is any shown in access control system in realize recognition of face method whole or
Part steps.Described device includes：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as performing：
In access control system identification by when for pass through the user information of the identification carry out recognition of face just
Beginning data preparation, obtains the corresponding face representation data of the user information, until enabling face knowledge in the access control system
When other；
The recognition of face in the access control system is carried out by the corresponding face representation data of the user information；
In the access control system identification and/or recognition of face by when, control the access control system to perform gate inhibition and put
Action is made.
The concrete mode that the processor of device in the embodiment performs operation is realized in the related access control system
Detailed description is performed in the embodiment of the method for recognition of face, explanation will be not set forth in detail herein.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and change can be being performed without departing from the scope.The scope of the present invention is only limited by appended claim.
Claims (14)
1. the method for recognition of face is realized in a kind of access control system, it is characterised in that the described method includes：
In access control system identification by when for pass through the user information of the identification carry out recognition of face initial number
According to preparation, the corresponding face representation data of the user information are obtained, until enabling recognition of face in the access control system；
The recognition of face in the access control system is carried out by the corresponding face representation data of the user information；
In the access control system identification and/or recognition of face by when, control the access control system perform gate inhibition let pass it is dynamic
Make.
2. according to the method described in claim 1, it is characterized in that, in the access control system identification by when to pass through
The user information for stating identification carries out the primary data preparation of recognition of face, obtains the corresponding face representation of the user information
Data, including：
It by instruction is distinguished in the access control system that the identification in access control system, which is received, by instruction, the identification
Generated in the identification procedure of recognition of face；
Facial image is gathered by instruction triggers according to the identification；
Facial image described in deep learning obtains face representation data；
The pairing between the face representation data and the user information for passing through the identification is carried out, by the face representation
Data storage corresponding with the user information matched.
3. according to the method described in claim 1, it is characterized in that, the method further includes：
In the access control system recognition of face by when for by the user information of the recognition of face carry out recognition of face again
Secondary data preparation, obtains the corresponding face representation data of the user information.
4. according to the method described in claim 1, it is characterized in that, the user information corresponds to a plurality of face representation data, institute
The method of stating further includes：
In the access control system recognition of face by when, from the corresponding a plurality of face representation data of the user information determine institute
By stating recognition of face the face representation data that use, the priority of the face representation data is raised.
5. according to the method described in claim 4, it is characterized in that, in the access control system recognition of face by when, from described
Determined in the corresponding a plurality of face representation data of user information by the recognition of face and the face representation data used, up-regulation
After the priority of the face representation data, the method further includes：
In the corresponding a plurality of face representation data of user information, according to the priority of each bar face representation data, priority is determined
Reach the face representation data of specified threshold；
The corresponding other people of the user information information according to the priority reaches the face representation data dump of specified threshold
Face represents data.
6. according to the method described in claim 1, being characterized in that, being configured with face representation data for the user information corresponds to
Standard value, it is described by face representation data corresponding with the user information carry out access control system in recognition of face, bag
Include：
Carry out face and collect facial image to be identified；
The facial image to be identified and face representation data are matched, are determined highest with the facial image matching degree to be identified
Face representation data；
Judge whether the matching degree reaches the corresponding standard value of face representation data, if YES, then the access control system
Recognition of face according to the highest face representation data of facial image matching degree to be identified by determining by the face
The user information of identification；
The method further includes：
According to facial image to be identified and the matching degree of face representation data, the face representation is adjusted for user information dynamic
The corresponding standard value of data.
It is 7. according to the method described in claim 6, it is characterized in that, described according to facial image to be identified and face representation data
Matching degree, for user information dynamic adjust the corresponding standard value of the face representation data, including：
If it is determined that reaching the corresponding standard value of face representation data to the matching degree, then known for described by the face
Other user information continue through the data statistics of recognition of face, and when the data of statistics reach preset condition, up-regulation is directed to
The user information is the standard value of face representation data configuration.
8. the device of recognition of face is realized in a kind of access control system, it is characterised in that described device includes：
Primary data preparation module, for identification in access control system by when to pass through the user information of the identification
The primary data for carrying out recognition of face prepares, and obtains the corresponding face representation data of the user information, until in the gate inhibition
Recognition of face is enabled in system；
Face recognition module, for carrying out the people in the access control system by the corresponding face representation data of the user information
Face identifies；
Access control module, for identification in the access control system and/or recognition of face by when, control the gate inhibition to be
System performs gate inhibition's clearance action.
9. device according to claim 8, it is characterised in that the primary data preparation module includes：
Instruction reception unit, is by instruction by instruction, the identification for receiving the identification in access control system
It is different from what is generated in the identification procedure of recognition of face in the access control system；
Image acquisition units, for gathering facial image by instruction triggers according to the identification；
Deep learning unit, face representation data are obtained for facial image described in deep learning；
Data pair unit, for carrying out the pairing between the face representation data and the user information for passing through identification,
By face representation data storage corresponding with the user information matched.
10. device according to claim 8, it is characterised in that described device further includes：
Prepare data module again, for recognition of face in the access control system by when to pass through the user of the recognition of face
Information carries out the data preparation again of recognition of face, obtains the corresponding face representation data of the user information.
11. device according to claim 8, it is characterised in that the user information corresponds to a plurality of face representation data, institute
Device is stated to further include：
Priority raise module, for recognition of face in the access control system by when, it is corresponding a plurality of from the user information
Determine to raise the preferential of the face representation data by recognition of face and the face representation data used in face representation data
Level.
12. according to the devices described in claim 11, it is characterised in that described device further includes：
Data screening module, in the corresponding a plurality of face representation data of user information, according to each bar face representation data
Priority, determines that priority reaches the face representation data of specified threshold；
Data dump module, for reaching user information described in the face representation data dump of specified threshold according to the priority
Corresponding other face representation data.
13. device according to claim 8, it is characterised in that be configured with face representation data for the user information
Corresponding standard value, the face recognition module include：
Face collecting unit, facial image to be identified is collected for carrying out face；
Matching unit, for matching the facial image to be identified and face representation data, determines and the face figure to be identified
As the highest face representation data of matching degree；
Matching degree judging unit, for judging whether the matching degree reaches the corresponding standard value of face representation data, if
It is then to trigger user information determination unit；
The user information determination unit be used for access control system recognition of face by, according to the face figure to be identified
The user information by the recognition of face is determined as the highest face representation data of matching degree；
Described device further includes：
Standard value adjusts module, for the matching degree according to facial image to be identified and face representation data, for user information
Dynamic adjusts the corresponding standard value of the face representation data.
14. device according to claim 13, it is characterised in that if standard value adjustment module is further used for sentencing
Break and reach the corresponding standard value of face representation data to the matching degree, then believe for the user by the recognition of face
Breath continue through the data statistics of recognition of face, and when the data of statistics reach preset condition, up-regulation is believed for the user
Cease for the standard value of face representation data configuration.
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