CN115063918B - Face recognition method, entrance guard, intelligent lock, server and system - Google Patents
Face recognition method, entrance guard, intelligent lock, server and system Download PDFInfo
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- CN115063918B CN115063918B CN202210449789.3A CN202210449789A CN115063918B CN 115063918 B CN115063918 B CN 115063918B CN 202210449789 A CN202210449789 A CN 202210449789A CN 115063918 B CN115063918 B CN 115063918B
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 239000011664 nicotinic acid Substances 0.000 claims abstract description 54
- 238000004891 communication Methods 0.000 claims description 2
- 238000012795 verification Methods 0.000 abstract description 20
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000000694 effects Effects 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 2
- 238000004140 cleaning Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
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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
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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
- G07C9/00174—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
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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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
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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
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
Abstract
The invention discloses a face recognition method, an access control, an intelligent lock, a server and a system, wherein the access control is used as a front face recognition terminal, the intelligent lock is used as a rear face recognition terminal, the access control is used for front-stage 3D face verification, the first access right verification is realized, and in the process, the obtained face depth information is provided for the intelligent lock; the intelligent lock performs second access right verification, and adds face depth information into an identification algorithm model for performing bionic 3D face verification, so that the defect of insufficient safety is overcome greatly, namely, under the condition of cost reduction, the technology of bionic 3D face identification is realized based on bionic 2D hardware, the effect of approaching 3D face identification is achieved, the feasibility in cost and system arrangement is higher, and the cost is lower.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a face recognition method, an access control, an intelligent lock, a server and a system.
Background
Face recognition is a biological recognition technology for carrying out identity recognition based on facial feature information of people. A series of related technologies, commonly referred to as image recognition and face recognition, are used to capture images or video streams containing faces with a camera or cameras, and automatically detect and track the faces in the images, thereby performing face recognition on the detected faces.
At present, the face recognition terminal mainly comprises a 3D face recognition terminal and a bionic 2D face recognition terminal, the 3D face recognition terminal is usually realized based on a camera module with TOF structured light, the face recognition terminal can extract face features, living body features and face depth information, and has extremely high safety coefficient but higher manufacturing cost; the bionic 2D face recognition terminal has low manufacturing cost, but has the limitation of depth data loss, cannot truly express the face, and has low safety coefficient.
Therefore, people can flexibly choose and use the 3D face recognition terminal and the bionic 2D face recognition terminal according to application scenes and the advantages and disadvantages of the 3D face recognition terminal and the bionic 2D face recognition terminal. However, in some special application scenarios, both the security of 3D face recognition needs to be achieved and the economy needs to be considered, and the contradiction is generated.
For example, in the intelligent lock scene, because of the large number of the intelligent locks, if 3D face recognition terminals are uniformly adopted for recognition, the cost is extremely high, and the intelligent locks are particularly used for apartments, dormitories, office buildings and other situations; if the bionic 2D face recognition terminal is uniformly adopted, the safety of the bionic 2D face recognition terminal cannot meet the requirements.
Disclosure of Invention
The invention aims to provide a face recognition method, an access control, an intelligent lock, a server and a system, which realize a low-cost centralized face recognition function and balance safety and economy.
To achieve the above object, a first aspect of the present invention discloses a face recognition method, which is applied to an entrance guard, and the method includes: receiving an access request of a user, and performing 3D face recognition on the user; face depth information acquired during 3D face recognition is sent to a server, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock when the user passes through the 3D face recognition and the intelligent lock is connected with the server; 3D face recognition passes, and the entrance guard is opened.
To achieve the above object, a second aspect of the present invention discloses a face recognition method applied to an intelligent lock, which includes: acquiring face depth information from a server, wherein the acquisition permission of the face depth information is 3D face recognition of a user through an access control, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user by the access control; receiving an access request of a user, performing bionic 3D face recognition on the user, wherein the face depth information is contained in the application information of the recognition algorithm model; bionic 3D face recognition passes through, and the intelligent lock is opened.
To achieve the above object, a third aspect of the present invention discloses a face recognition method applied to a server, comprising: receiving face depth information sent by an access control, wherein the face depth information is acquired when the access control performs 3D face recognition on a user; and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock.
To achieve the above object, a fourth aspect of the present invention discloses a face recognition method applied to building management, including: configuring an access control, receiving user access information by the access control, carrying out 3D face recognition on the user, and sending face depth information acquired during 3D face recognition to a server, and if the 3D face recognition of the user passes, opening the access control; the configuration server receives face depth information sent by the entrance guard and forwards the face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the entrance guard; and configuring an intelligent lock, receiving user access information by the intelligent lock, performing bionic 3D face recognition on the user, and applying face depth information in a bionic 3D face recognition algorithm model.
In an alternative embodiment, the access control comprises an attached face head portrait grabbing terminal, and the face head portrait grabbing terminal monitors an access control area; the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the server and the intelligent lock.
In an alternative embodiment, the access control comprises an attached face head portrait grabbing terminal, and the face head portrait grabbing terminal monitors an access control area; the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the intelligent lock; the face head portrait grabs and finally grabs the entering information of the user, wherein the entering information of the user is used for calling the server to forward the historical personal depth information of the user to the intelligent lock when the user enters without 3D face recognition of the door.
To achieve the above object, a fifth aspect of the present invention discloses an entrance guard configured to: receiving an access request of a user, and performing 3D face recognition on the user; face depth information acquired during 3D face recognition is sent to a server, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock when the user passes through the 3D face recognition and the intelligent lock is connected with the server; 3D face recognition passes, and the entrance guard is opened.
To achieve the above object, a sixth aspect of the present invention discloses an intelligent lock configured to: acquiring face depth information from a server, wherein the acquisition permission of the face depth information is 3D face recognition of a user through an access control, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user by the access control; receiving an access request of a user, performing bionic 3D face recognition on the user, wherein the face depth information is contained in the application information of the recognition algorithm model; bionic 3D face recognition passes through, and the intelligent lock is opened.
To achieve the above object, a seventh aspect of the present invention discloses a server configured to: receiving face depth information sent by an access control, wherein the face depth information is acquired when the access control performs 3D face recognition on a user; and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock.
In order to achieve the above objective, an eighth aspect of the present invention discloses a face recognition system, which includes an access control, a server and a plurality of intelligent locks that are sequentially connected in communication, where the access control, the server and the plurality of intelligent locks are used to implement the face recognition method as described above.
After the technical scheme is adopted, compared with the background technology, the invention has the following advantages:
according to the invention, the entrance guard is taken as a front-stage face recognition terminal, the intelligent lock is taken as a rear-stage face recognition terminal, the entrance guard is utilized to carry out front-stage 3D face verification, the first-pass authority verification is realized, in the process, the face depth information is obtained and provided for the intelligent lock, the intelligent lock carries out bionic 3D face verification again, the second-pass authority verification is realized, and the recognition algorithm model greatly compensates the defect of insufficient safety due to the fact that the face depth information is added, so that the effect of approaching 3D face recognition is achieved by using the bionic 3D face recognition technology under the condition of reducing the cost, and the method is higher in cost and feasibility of system arrangement and lower in cost.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention;
fig. 2 is a schematic diagram of the topology of the system of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The invention discloses a face recognition method which is used for realizing a distributed face recognition mechanism with low cost.
When the method is applied to the door control, the method comprises the following steps:
receiving an access request of a user, and performing 3D face recognition on the user; face depth information acquired during 3D face recognition is sent to a server, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock when the user passes through the 3D face recognition and the intelligent lock is connected with the server; 3D face recognition passes, and the entrance guard is opened.
It should be understood that the specific form of the access control is not limited, and the access control can be an access intercom device, a channel gate device, an elevator access control and the like. Any device arranged in a public area for realizing the verification of the access authority of a user can be regarded as the access control device.
In this application, the 3D face identification module of entrance guard is for containing the camera module of structured light or TOF to realize 3D face identification.
When the access control performs 3D face recognition based on a user access request, rapidly capturing a user characteristic value and face depth information for verification, and if the user information exists in a user database and the face recognition result reaches a preset score value, passing the verification, wherein the server stores the face depth information of the user; otherwise, the flow is terminated, and the output information reminds the user of not having the access right.
It is readily understood that the user database may be stored in the door access or in the server. When the user database is stored in the access control, the access control automatically completes the verification process; when the user database is stored in the server, the access control host machine uploads the user characteristics and the face depth information, and verification is completed at the server side.
When applied to a server, the method comprises the following steps:
receiving face depth information sent by an access control, wherein the face depth information is acquired when the access control performs 3D face recognition on a user; and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock.
It should be appreciated that forwarding face depth information to the smart lock by the server may be accomplished in two ways.
One way is an active issuing way, in which if a user performs 3D face recognition, a user database matches preset parameters, such as a user name, recognition time, and a room number or an intelligent lock number, etc., to which the user has access. And the server actively transmits the face depth information of the user to the corresponding intelligent lock according to the room number or the intelligent lock number with the access right of the user, so that the intelligent lock can smoothly execute bionic 3D face recognition.
Another way is for the smart lock to download to the server. In this way, if the intelligent lock detects that the user is at the intelligent lock end, the face depth information of the user is downloaded by sending a downloading request to the server. Specifically, when a user accesses the intelligent lock terminal, the intelligent lock firstly carries out 2D face recognition on the user, and if the verification passes, the face depth information of the user is downloaded to the server so as to carry out bionic 3D face recognition. When the user possibly has access rights of a plurality of intelligent locks, the mode can directly specify the intelligent lock which the user is accessing, so that the face depth information is sent to the intelligent lock which is accessing currently based on the passive request, and higher security is achieved.
When applied to the intelligent lock, the method comprises the following steps:
acquiring face depth information from a server, wherein the acquisition permission of the face depth information is 3D face recognition of a user through an access control, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user by the access control; receiving an access request of a user, performing bionic 3D face recognition on the user, wherein the face depth information is contained in the application information of the recognition algorithm model; and if the bionic 3D face recognition passes, opening the intelligent lock, otherwise, ending the flow, and informing the user that the user does not have the access right.
It should be understood that the smart lock of the present application is a door lock of a location, such as a house door lock or an office area door lock, etc., that a user eventually accesses. The face recognition module does not adopt a camera module containing structured light or TOF, but adopts a double NIR camera module or RGB camera module, so that bionic 2D face recognition can be realized.
Because the intelligent lock adds the face depth information into the face recognition algorithm model, the intelligent lock can meet the acquisition information of more characteristic values and serve as a comparison base. The image acquisition of the intelligent lock is used for carrying out preliminary comparison on the part of information through algorithm comparison, the comprehensive recognition effect and the safety of the intelligent lock are greatly superior to those of the bionic 2D, the bionic headgear attack can be prevented, and the bionic 3D recognition close to the 3D recognition effect is realized.
The face depth information is fused in the bionic 2D recognition technology, so that the bionic 3D recognition is realized, and the realization of the recognition algorithm model belongs to the prior art and is not repeated.
In summary, please refer to fig. 1, the present application actually discloses a face recognition method based on the entrance guard, the server and the intelligent lock, so as to be applied to realizing building management and the like.
Namely, it comprises:
configuring an access control, receiving user access information by the access control, carrying out 3D face recognition on the user, and sending face depth information acquired during 3D face recognition to a server, and if the 3D face recognition of the user passes, opening the access control;
the configuration server receives face depth information sent by the entrance guard and forwards the face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the entrance guard;
and configuring an intelligent lock, receiving user access information by the intelligent lock, performing bionic 3D face recognition on the user, and applying face depth information in a bionic 3D face recognition algorithm model.
In an alternative embodiment, the access control comprises an attached face head portrait grabbing terminal, and the face head portrait grabbing terminal monitors the access control area; therefore, if the user leaves the building, the face head portrait grabbing terminal grabs head portrait information of the user when the user leaves the access control area so as to be compared with the user database, and when the user is confirmed to leave, the server and the intelligent lock are triggered to delete the cached face depth information, so that the safety is further improved.
The face head portrait grabbing terminal and the dynamic behavior identification (identifying whether the user enters or leaves) belong to the prior art, and are not described herein. For example, the face-head grabbing terminal may be implemented by a fall sensor.
It should be understood that if the user passes the verification of the access control by using the way of swiping a card or fingerprint verification instead of using face recognition, the user can also open the intelligent lock by swiping a card or fingerprint verification, and the face recognition is not the only unlocking mechanism of the intelligent lock.
When the entrance guard is in a single person entrance/exit check mode (such as a gate), the method realizes a low-cost and reliable face recognition mode. Namely, the 3D face recognition module is carried on the entrance guard at the front stage, degradation of hardware requirements of the intelligent lock at the rear stage is realized by means of a transmission mechanism of face depth information, the intelligent lock is based on the low-cost 2D face recognition module, a bionic 3D face recognition algorithm model can be built, and a bionic 3D face recognition effect close to 3D face recognition safety can be achieved.
For a non-person one-gate application scenario, for example, a user may follow another person through the gate, an alternative implementation is to use the aforementioned face head portrait capturing terminal for assistance. Specifically, in this case, the face head portrait grabbing terminal monitors the access control area, and if the face head portrait grabs the departure information of the user, only the face depth information of the intelligent lock is deleted. The face head portrait grabs and finally grabs the entering information of the user, wherein the entering information of the user is used for calling the historical face depth information of the user of the server to forward to the intelligent lock when the user enters without 3D face identification of the access control.
It is easy to understand that in the application scenario of the non-one-person one-gate, the 3D face recognition of the user through the gate does not mean that the user must currently pass through the 3D face recognition in the gate, but means that the user passes through the 3D face recognition of the gate at least once in the history record, so that the history face depth information is formed. In an alternative embodiment, the history record may set a certain cleaning period, that is, a time period is set as the cleaning period, and the historical face depth information in the cleaning period is stored; historical face information beyond the time period is cleared to further improve security.
Example 2
The invention also discloses an access control device, which is configured as follows: receiving an access request of a user, and performing 3D face recognition on the user; face depth information acquired during 3D face recognition is sent to a server, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock when the user passes through the 3D face recognition and the intelligent lock is connected with the server; 3D face recognition passes, and the entrance guard is opened.
The invention also discloses an intelligent lock, which is configured as follows: acquiring face depth information from a server, wherein the acquisition permission of the face depth information is 3D face recognition of a user through an access control, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user by the access control; receiving an access request of a user, performing bionic 3D face recognition on the user, wherein the face depth information is contained in the application information of the recognition algorithm model; bionic 3D face recognition passes through, and the intelligent lock is opened.
The invention also discloses a server, which is configured to: receiving face depth information sent by an access control, wherein the face depth information is acquired when the access control performs 3D face recognition on a user; and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock.
In summary, referring to fig. 2, the invention actually discloses a face recognition device and a face recognition system, which comprise an access control device, a server and a plurality of intelligent locks.
That is, the entrance guard is the front-stage face recognition terminal, the intelligent lock is the rear-stage face recognition terminal, the server can adopt the server of the original entrance guard system, the server can be a local server or a cloud server, and the entrance guard system is not limited by the application.
And then, the face depth information is extracted through the entrance guard, network service can be established among the entrance guard, the server and the intelligent locks through sockets, and when the intelligent locks perform face recognition, the face depth information perception is downloaded through WIFI to perform quick judgment, so that the face recognition system establishment with high security level and low cost input is realized.
Specifically, the system thereof is configured to:
the access control receives user access information, performs 3D face recognition on the user, and sends face depth information acquired during 3D face recognition to a server, and if the 3D face recognition of the user passes, the access control is opened;
the server receives face depth information sent by the access control and forwards the face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control;
the intelligent lock receives user access information, carries out bionic 3D face recognition on the user, and applies face depth information in a bionic 3D face recognition algorithm model.
In an alternative embodiment, as described in reference to embodiment 1, the access control may include an attached face head portrait grabbing terminal, where the face head portrait grabbing terminal monitors the access control area; the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the server and the intelligent lock.
In an alternative embodiment, as described in reference to embodiment 1, the access control includes an attached face head portrait grabbing terminal, where the face head portrait grabbing terminal monitors the access control area; the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the intelligent lock; the face head portrait grabs and finally grabs the entering information of the user, wherein the entering information of the user is used for calling the server to forward the historical personal depth information of the user to the intelligent lock when the user enters without 3D face recognition of the door.
This embodiment differs from embodiment 1 in that the object that is emphasized is different, i.e. this embodiment is intended to propose some devices or systems as implementation carriers for the method described in embodiment 1. Therefore, the detailed description of this embodiment is omitted, and reference is made to the relevant discussion in embodiment 1.
The method and the system for recognizing the face recognition by the face recognition system realize the establishment of a centralized face recognition method and system by combining special scenes such as apartments, dormitories, hotels and office buildings. In the special scene, because the number of intelligent locks is numerous, if 3D face recognition terminals are adopted for face recognition, the cost is extremely high; if the 2D face recognition terminal is adopted, the personal and property safety of the user cannot be fully guaranteed. Therefore, in this scenario, the cost-to-security conflict appears extremely acute.
Under the scene, the safety can be ensured by applying the method on the premise of greatly reducing the cost. Specifically, the access control host is a first verification mechanism, if the 3D identification information of the user passes through the verification of the server, the access control host gives the user a front-level operation authority, namely, the access control unlocking is realized, so that only the user with the specific authority can enter. After a user enters a building, the intelligent lock is a second verification mechanism, wherein based on the acquired face depth information, the bionic 3D face recognition is realized by using a hardware carrier of the bionic 2D face recognition, so that the cost is reduced and the safety is considered.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. The face recognition method is characterized by being applied to entrance guard, and comprises the following steps:
setting an entrance guard carrying a 3D face recognition module in a public area;
the access control receives an access request of a user, and 3D face recognition is carried out on the user;
the entrance guard sends face depth information acquired during 3D face recognition to the server, wherein the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock when the intelligent lock which is used for 3D face recognition and is arranged on a door and is provided with a 2D face recognition module is connected with the server;
the entrance guard checks that 3D face recognition passes, and the entrance guard is opened.
2. The face recognition method is characterized by being applied to an intelligent lock and comprises the following steps:
the intelligent lock with the 2D face recognition module is arranged on a door;
the intelligent lock acquires face depth information from a server, wherein the acquisition authority of the face depth information is 3D face recognition of a user through an entrance guard, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user through the entrance guard which is arranged in a public area and is provided with a 3D face recognition module;
the intelligent lock receives an access request of a user, carries out bionic 3D face recognition on the user, and the information applied by the recognition algorithm model contains face depth information;
the intelligent lock checks that the bionic 3D face recognition passes, and the intelligent lock is opened.
3. The face recognition method is characterized by being applied to a server and comprises the following steps:
receiving face depth information sent by an entrance guard, wherein the face depth information is acquired when the entrance guard arranged in a public area and provided with a 3D face recognition module carries out 3D face recognition on a user;
and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the door access, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock which is arranged on the door and is provided with a 2D face recognition module.
4. The face recognition method is characterized by being applied to building management, and comprises the following steps:
and (3) configuring an access control: the entrance guard is arranged in a public area and is provided with a 3D face recognition module, the entrance guard receives user access information, 3D face recognition is carried out on the user, face depth information acquired during 3D face recognition is sent to a server, and if the 3D face recognition of the user passes, the entrance guard is opened;
the configuration server: the server receives face depth information sent by the access control and forwards the face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the access control;
configuring an intelligent lock: the intelligent lock is arranged on a door and is provided with a 2D face recognition module, receives user access information, performs bionic 3D face recognition on the user, and applies face depth information in a bionic 3D face recognition algorithm model.
5. The face recognition method of claim 4, wherein:
the door control device comprises a face head portrait grabbing terminal, wherein the face head portrait grabbing terminal is arranged in the door control device and monitors a door control area;
the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the server and the intelligent lock.
6. The face recognition method of claim 4, comprising:
the door control device comprises a face head portrait grabbing terminal, wherein the face head portrait grabbing terminal is arranged in the door control device and monitors a door control area;
the face head portrait grabbing terminal grabs the leaving information of the user, wherein the leaving information of the user is used for triggering the deleting operation of the face depth information of the intelligent lock;
the face head portrait grabs and finally grabs the entering information of the user, wherein the entering information of the user is used for calling the server to forward the historical personal depth information of the user to the intelligent lock when the user enters without 3D face recognition of the door.
7. Access control, characterized in that it is configured to:
the 3D face recognition module is arranged in the public area and is mounted on the public area;
receiving an access request of a user, and performing 3D face recognition on the user;
face depth information acquired during 3D face recognition is sent to a server, and the face depth information is used for providing required information for a 2D face recognition algorithm model carried by an intelligent lock when the user establishes connection with the server through the 3D face recognition and the intelligent lock arranged on a door;
3D face recognition passes, and the entrance guard is opened.
8. An intelligent lock, characterized in that it is configured to:
the device is arranged on a door and is provided with a 2D face recognition module;
acquiring face depth information from a server, wherein the acquisition permission of the face depth information is 3D face recognition of a user through an access control, and the face depth information is acquired and sent to the server in the process of 3D face recognition of the user by the access control;
receiving an access request of a user, performing bionic 3D face recognition on the user, wherein the face depth information is contained in the application information of the recognition algorithm model;
bionic 3D face recognition passes through, and the intelligent lock is opened.
9. A server, characterized in that it is configured to:
receiving face depth information sent by an entrance guard, wherein the face depth information is acquired when the entrance guard arranged in a public area and provided with a 3D face recognition module carries out 3D face recognition on a user;
and forwarding face depth information to the intelligent lock, wherein the forwarding authority of the face depth information is 3D face recognition of the user through the door access, and the face depth information is used for providing required information for a bionic 3D face recognition algorithm model of the intelligent lock which is arranged on the door and is provided with a 2D face recognition module.
10. Face recognition system, its characterized in that: the face recognition method comprises an access control, a server and a plurality of intelligent locks which are connected in sequence in a communication mode, wherein the access control, the server and the plurality of intelligent locks are used for realizing the face recognition method according to any one of claims 4-6.
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