CN109377628A - A kind of intelligent access control system and method - Google Patents
A kind of intelligent access control system and method Download PDFInfo
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- CN109377628A CN109377628A CN201811541695.9A CN201811541695A CN109377628A CN 109377628 A CN109377628 A CN 109377628A CN 201811541695 A CN201811541695 A CN 201811541695A CN 109377628 A CN109377628 A CN 109377628A
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- Prior art keywords
- face
- key point
- door lock
- network model
- infrared
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Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- 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
-
- 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
- G06V40/168—Feature extraction; Face representation
-
- 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
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
Abstract
This application provides a kind of intelligent access control system and methods, this method comprises: obtaining image；Human face region is confined in described image；Face key point is extracted in the human face region；The face key point information is inputted into recognition of face artificial nerve network model, obtains face recognition result；According to the face recognition result, door lock order is exported；Execute the door lock order.Access control can be carried out by way of recognition of face by implementing the embodiment of the present application, and operation is simpler, considerably reduces the inconvenience that user enters gate inhibition.
Description
Technical field
The application belongs to gate inhibition security fields, and in particular to a kind of intelligent access control system and method.
Background technique
Access control system is widely used in the authentication requirement to personnel such as hotel, customs, cell, exhibitions, railway station
Very high place.Access control system on the market, which mostly uses greatly, at present swipes the card, inputs the control modes such as password.When user enters, need
It needs as swiping the card by bus, gently contact or close card reader, so that it may read card image, carry out the behaviour that swipes the card
Make；Alternatively, needing to input the password being set in advance in access control system, can just enter after password match.
However in practical applications, IC card may lose, and password may be forgotten by user, to entrance guard management cause it is many not
Just.Moreover, whether swipe the card or input password all must user actively carry out gate inhibition's identification, equal personnel are more at the train station
Occasion, gate inhibition's admission velocity cause very much the user being lined up to fall into a long wait slowly.
Summary of the invention
The purpose of the application is to provide a kind of intelligent access control system and method, and door can be carried out by way of recognition of face
Prohibit control, operation is simpler, considerably reduces the inconvenience that user enters gate inhibition.
To realize above-mentioned application purpose, the application the technical scheme adopted is that a kind of intelligent access control system, including, it is main
Control processor, camera and door lock assembly；The main control processor includes face recognition module and door lock command module；It is described
Face recognition module, including, face location determination unit, key point extraction unit, face matching unit；The camera is used
In acquisition image；The face location determination unit, for confining human face region in described image；The key point is extracted single
Member, for extracting face key point in the human face region；The face matching unit is used for the face key point
Information input recognition of face artificial nerve network model, obtains face recognition result；The door lock command module, for according to institute
Face recognition result is stated, door lock order is exported；The door lock assembly, for executing the door lock order.
Optionally, the key point extraction unit specifically includes key point and extracts artificial nerve network model, the key
Point extracts artificial nerve network model and passes through study and training that million grades of face picture library key points are extracted；The key point is extracted
Unit, specifically for the extraction artificial nerve network model of key point described in the human face region information input is obtained the face
Key point.
Optionally, the key point extraction unit is also used to extracting the key point into artificial nerve network model output
The face key point carry out affine variation and calibrate.
Optionally, the key point extract artificial nerve network model also pass through different sexes, the age, mood face figure
The study and training that library key point is extracted.
Optionally, the door lock command module further includes encryption unit；The encryption unit, for the door lock order
Output is to the door lock assembly after being encrypted.
Optionally, the system also includes infrared transmitter and infrared cameras；The infrared camera is in the camera shooting
In the case where having face in image acquired in head, the first thermal-induced imagery is shot；The infrared transmitter is red in shooting first
After outer thermal image, distribute infrared ray out to face；The infrared camera is distributed out in the infrared transmitter to face
After infrared ray, the second thermal-induced imagery is shot；The main control processor further includes infrared image processing module；The infrared figure
As processing module is obtained for comparing first thermal-induced imagery and second thermal-induced imagery according to the comparing result
To In vivo detection result；The door lock command module is used for according to the face recognition result and the In vivo detection as a result, defeated
Door lock order out.
Optionally, the main control processor further include: photo memory module；The photo memory module, it is every for storing
Corresponding facial image when the secondary door lock command module output door lock order.
On the other hand, present invention also provides a kind of intelligent entrance guard method, the method is applied to described in any of the above-described
Intelligent access control system in, which comprises obtain image；Human face region is confined in described image；In the face area
Face key point is extracted in domain；The face key point information is inputted into recognition of face artificial nerve network model, obtains people
Face recognition result；According to the face recognition result, door lock order is exported；Execute the door lock order.
Optionally, face key point is extracted in the human face region, comprising: close the human face region information input
Key point extracts artificial nerve network model and obtains the face key point, and the key point is extracted artificial nerve network model and passed through
The study and training that million grades of face picture library key points are extracted.
Optionally, the key point extract artificial nerve network model also pass through different sexes, the age, mood face figure
The study and training that library key point is extracted.
Optionally, according to the face recognition result, door lock order is exported, comprising: defeated according to the face recognition result
Encrypted door lock order out.
The application has the advantages that
1, application scheme carries out entrance guard management by the way of recognition of face, so that the operation that gate inhibition enters is more just
Benefit avoids card-scanning type and inputs the inconvenience of cipher access control system.
2, the access control system that this programme provides uses the artificial nerve network model of optimization, so that result is more accurate,
Even if picture quality is bad, clarity not high (street corner or the not high first-class bat of network shooting of overall view monitoring camera, clarity
The photo taken the photograph), appropriateness light variation etc. in the case where can keep identification high rate of precision, it is ensured that the high safety of door lock
Property.
3, the access control system that this programme provides prevents professional from decoding lock core driving circuit and opens to lock core encryption
Door lock.
4, the access control system that this programme provides is additionally added living body detection device, avoids bad user's photograph in practical applications
Piece is come the problem of deceiving face identification system.
5, this programme provide access control system can to it is each attempt unlock portrait store, have it is extraordinary can
Tracing property.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of intelligent access control system disclosed in the present application；
Fig. 2 is the structural schematic diagram of another intelligent access control system disclosed in the present application；
Fig. 3 is a kind of schematic diagram of intelligent entrance guard method disclosed in the present application.
Specific embodiment
In order to which the technical problems, technical solutions and beneficial effects solved by the present invention is more clearly understood, below in conjunction with
Accompanying drawings and embodiments, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
As shown in FIG. 1, FIG. 1 is a kind of structural schematic diagrams of intelligent access control system disclosed in the present application.The intelligent entrance guard system
System 100, comprising: main control processor 110, camera 120 and door lock assembly 130；Main control processor 110 includes face recognition module
111 and door lock command module 112；Face recognition module 111, including, face location determination unit 1111, key point extraction unit
1112, face matching unit 1113.
Camera 120, for obtaining image.
In the present embodiment, camera be visible light wave range camera, can take pictures or video by way of obtain
Obtain image.
Face location determination unit 1111, for confining human face region in described image.
In the present embodiment, face location determination unit generally passes through the figure that rectangle frame frames the above-mentioned shooting of camera 120
The band of position containing face as in.
Key point extraction unit 1112, for extracting face key point in the human face region.
In the present embodiment, key point is face features point.
Face matching unit 1113, for the face key point information to be inputted recognition of face artificial neural network mould
Type obtains face recognition result.
In the present embodiment, recognition of face artificial nerve network model is by being learnt and being instructed to million grades of face picture libraries
Practice, efficiently and accurately can judge whether the face is registered face by above-mentioned face key point information.
Door lock command module 112, for exporting door lock order according to the face recognition result.
In the present embodiment, if recognition of face passes through, door lock command module 112 exports unlocking order；If recognition of face
Do not pass through, door lock command module 112, which then exports, to be shut order or do not export any order.
Door lock assembly 130, for executing the door lock order.
It is appreciated that entrance guard management is provided by the way of recognition of face in the access control system provided in this embodiment,
So that the operation that gate inhibition enters is more convenient, avoids card-scanning type and input the inconvenience of cipher access control system.Also, this
The access control system that scheme provides uses artificial nerve network model so that result is more accurate, even if picture quality it is bad,
The light of clarity not high (photo of street corner or the not high first-class shooting of network shooting of overall view monitoring camera, clarity), appropriateness
The high rate of precision of identification can be kept in the case where line variation etc., it is ensured that the high safety of door lock.
As an optional implementation manner, above-mentioned key point extraction unit specifically includes key point and extracts artificial neuron
Network model, key point extract artificial nerve network model and pass through study and training that million grades of face picture library key points are extracted；
Key point extraction unit, specifically for obtaining the extraction artificial nerve network model of key point described in the human face region information input
To the face key point.
As an optional implementation manner, key point extraction unit is also used to the key point extracting artificial neuron
The face key point of network model output carries out affine variation calibration.
As an optional implementation manner, key point extract artificial nerve network model also pass through different sexes, the age,
The study and training that the face picture library key point of mood is extracted.
It is appreciated that can further guarantee the accurate of recognition of face to the optimization of key point extraction unit in this programme
Property and reliability.
As an optional implementation manner, door lock command module further includes encryption unit；Encryption unit, for described
Output is to the door lock assembly after door lock order is encrypted.
It is appreciated that the access control system that this programme provides prevents professional from decoding lock core driving lock core encryption
Circuit opening door lock.
As an optional implementation manner, main control processor further include: photo memory module；Photo memory module is used
The corresponding facial image when storage door lock command module output door lock order every time.
The addition of photo memory module in the access control system of this programme offer is provided, can be unlocked to each trial
Portrait stored, be equivalent to a single-point monitoring, have extraordinary traceability.
As shown in Fig. 2, Fig. 2 is the structural schematic diagram of another intelligent access control system disclosed in the present application.The intelligent entrance guard
System 200, compared to intelligent access control system 100,
The system 200 further include: infrared transmitter 140 and infrared camera 150.
In the case that infrared camera 150 has face in the image acquired in camera 120, the first infrared chart is shot
Picture.
Infrared transmitter 140 distributes infrared ray out to face after shooting the first thermal-induced imagery.
Infrared camera 150 shoots the second thermal-induced imagery after infrared transmitter distributes infrared ray out to face.
Main control processor 110 further includes infrared image processing module 113.
Infrared image processing module 113, for comparing first thermal-induced imagery and second thermal-induced imagery, root
In vivo detection result is obtained according to comparing result.
In the present embodiment, since human body can be absorbed and be reflected to infrared ray, pass through the first infrared heat of comparison
Whether image and second thermal-induced imagery reach preset condition, it can be determined that go out whether measured object is living body.
Door lock command module 112 is used for according to face recognition result and In vivo detection as a result, output door lock order.
In the present embodiment, infrared transmitter and infrared camera cooperation carry out In vivo detection, if In vivo detection pass through and
Face datection passes through, and door lock command module then exports unlocking order；If In vivo detection does not pass through but Face datection passes through, explanation has
The stage properties such as people's photo deceive people access control system, and door lock command module, which then exports, to be shut order or do not export any order；If living body
Detection passes through but Face datection does not pass through, and illustrates that tested personnel is not accredited personnel, door lock command module then exports and shuts order
Or do not export any order.
It is appreciated that living body detection device is added in the access control system that this programme provides, it can be to avoid in practical applications not
Good user is with photo come the problem of deceiving face identification system.
As shown in figure 3, Fig. 3 is a kind of schematic diagram of intelligent entrance guard method disclosed in the present application.The intelligent entrance guard method
300, comprising:
301, image is obtained.
302, human face region is confined in described image.
303, face key point is extracted in the human face region.
304, the face key point information is inputted into recognition of face artificial nerve network model, obtains recognition of face knot
Fruit.
305, according to the face recognition result, door lock order is exported.
306, the door lock order is executed.
The intelligent entrance guard method of the present embodiment is corresponding with intelligent access control system 100 corresponding in Fig. 1, plays embodiment
It is similar, it is not described herein.
As an alternative embodiment, extracting face key point in the human face region, comprising: by the people
Face area information input key point extracts artificial nerve network model and obtains the face key point, and the key point is extracted artificial
Neural network model passes through the study and training that million grades of face picture library key points are extracted.
The intelligent entrance guard method of present embodiment is corresponding with intelligent access control system 100 corresponding in Fig. 1, plays embodiment
Also similar, it is not described herein.
As an alternative embodiment, the key point extract artificial nerve network model also pass through different sexes,
Age, mood face picture library key point extract study and training.
The intelligent entrance guard method of present embodiment is corresponding with intelligent access control system 100 corresponding in Fig. 1, plays embodiment
Also similar, it is not described herein.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
Scope of the present application.
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 systems, devices and methods, it 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 logical function partition, there may be another division manner in actual implementation, such as multiple units or components
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 through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
Claims (10)
1. a kind of intelligent access control system, which is characterized in that including main control processor, camera and door lock assembly；
The main control processor includes face recognition module and door lock command module；
The face recognition module, including, face location determination unit, key point extraction unit, face matching unit；
The camera, for obtaining image；
The face location determination unit, for confining human face region in described image；
The key point extraction unit, for extracting face key point in the human face region；
The face matching unit is obtained for the face key point information to be inputted recognition of face artificial nerve network model
To face recognition result；
The door lock command module, for exporting door lock order according to the face recognition result；
The door lock assembly, for executing the door lock order.
2. system according to claim 1, which is characterized in that the key point extraction unit specifically includes key point and mentions
Artificial nerve network model is taken, the key point is extracted artificial nerve network model and extracted by million grades of face picture library key points
Study and training；
The key point extraction unit is specifically used for key point described in the human face region information input extracting artificial neural network
Network model obtains the face key point.
3. system according to claim 2, which is characterized in that the key point extraction unit is also used to the key
The face key point that point extracts artificial nerve network model output carries out affine variation calibration.
4. system according to claim 2, which is characterized in that the key point is extracted artificial nerve network model and also passed through
Different sexes, the age, mood face picture library key point extract study and training.
5. system according to claim 1, which is characterized in that the door lock command module further includes encryption unit；
The encryption unit, for output after being encrypted to the door lock order to the door lock assembly.
6. system according to claim 1, which is characterized in that the system also includes: infrared transmitter and infrared photography
Head；
In the case that the infrared camera has face in the image acquired in the camera, the first infrared chart is shot
Picture；
The infrared transmitter distributes infrared ray out to face after shooting the first thermal-induced imagery；
The infrared camera shoots the second thermal-induced imagery after the infrared transmitter distributes infrared ray out to face；
The main control processor further includes infrared image processing module；
The infrared image processing module, for comparing first thermal-induced imagery and second thermal-induced imagery, according to
The comparing result obtains In vivo detection result；
The door lock command module is used for according to the face recognition result and the In vivo detection as a result, output door lock order.
7. system according to claim 1, which is characterized in that the main control processor further include: photo memory module；
The photo memory module, corresponding face figure when for storing every time the door lock command module output door lock order
Picture.
8. a kind of intelligent entrance guard method, the method is applied to intelligent access control system as described in any one of claim 1 to 7
In, which comprises
Obtain image；
Human face region is confined in described image；
Face key point is extracted in the human face region；
The face key point information is inputted into recognition of face artificial nerve network model, obtains face recognition result；
According to the face recognition result, door lock order is exported；
Execute the door lock order.
9. according to the method described in claim 8, it is characterized in that,
Face key point is extracted in the human face region, comprising:
Human face region information input key point extraction artificial nerve network model is obtained into the face key point, the pass
Key point extracts artificial nerve network model and passes through study and training that million grades of face picture library key points are extracted.
10. according to the method described in claim 9, it is characterized in that, key point extraction artificial nerve network model also passes through
Cross different sexes, the age, mood face picture library key point extract study and training.
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| CN201811541695.9A CN109377628A (en) | 2018-12-17 | 2018-12-17 | A kind of intelligent access control system and method |
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| CN113034769A (en) * | 2021-03-03 | 2021-06-25 | 唐山市就业服务中心 | Access control system and method based on face recognition |
| CN113298993A (en) * | 2021-04-29 | 2021-08-24 | 杭州魔点科技有限公司 | Personnel access management method and system based on face recognition |
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