CN114358710A

CN114358710A - Face recognition non-inductive attendance checking method and device and storage medium

Info

Publication number: CN114358710A
Application number: CN202111523996.0A
Authority: CN
Inventors: 郑植; 余辰; 吕现伟
Original assignee: Huazhong University of Science and Technology; Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
Current assignee: Huazhong University of Science and Technology; Ezhou Institute of Industrial Technology Huazhong University of Science and Technology
Priority date: 2021-12-12
Filing date: 2021-12-12
Publication date: 2022-04-15

Abstract

A face recognition non-inductive attendance checking method, a device and a storage medium are provided, the method comprises the following steps: acquiring a partition tree code of an office area; acquiring a face recognition database of the office area; acquiring an attendance partition set according to the partition tree codes; acquiring attendance source data of the office area; generating an attendance proof according to the attendance source data; and generating an attendance result according to the face recognition database and the attendance certificate. According to the face recognition non-inductive attendance method, the face recognition non-inductive attendance device and the storage medium, the attendance check checkpoint is not arranged, the time for attendance personnel to enter an office space can be greatly shortened, and the time is saved; the attendance personnel do not need to queue up to grab the face, thereby saving labor; saving attendance equipment and attendance field and saving money; data access to the attendance system is reduced, and the system is safe; the attendance checking system can directly verify whether the attendance checking personnel are on duty or not, and is accurate.

Description

Face recognition non-inductive attendance checking method and device and storage medium

Technical Field

The invention belongs to the technical field of employee attendance checking, and particularly relates to a face recognition non-inductive attendance checking method, a face recognition non-inductive attendance checking device and a storage medium.

Background

In daily production and life, attendance actually identifies three things: identity, time, and location. The existing attendance checking method mainly comprises the following steps:

(1) manual attendance, which is to input attendance recording manpower, and people participating in attendance check arrive at a recording position to sign in;

(2) attendance based on location, people participating in attendance use portable equipment or actively send location information through a special application program, or passively discover and record the location information in an attendance field by an attendance machine;

(3) attendance based on characteristics, personnel participating in attendance use unique characteristics of the personnel, and the characteristics can be characteristics of the personnel, such as fingerprints, irises and faces, which are different from those of other individuals, and can also be identification marks such as attendance cards, work cards and the like;

(4) the method for submitting the composite information by mixing several attendance modes, for example, some attendance software requires to upload attendance position information and also requires to upload self-timer photos of attendance personnel in a work site, and the attendance software has characteristics and enables the position information to be more credible; more commonly, human-supervised attendance systems are used for replenishment.

The attendance checking methods have application scenes in real life, and absolute advance and lag do not exist. For example, in a workgroup who often attends to outside, manual attendance is simple and convenient, and other attendance methods are laborious and unquestionable. In the attendance checking method of a specific office place (such as an office building), the characteristic-based attendance checking advantage is obvious.

The existing attendance checking method is that people who participate in attendance checking are allowed to swipe a face, swipe a card, acquire characteristics such as fingerprints one by one in a specific attendance checking place, and the characteristics are almost appeared in each office place. In the attendance based on characteristics, the identification capability of the external identity identifier is poor, and the phenomenon of repeated printing is forbidden. Fingerprints also have the same problem, and iris acquisition is costly and difficult.

The face is easy to collect, the characteristics are rich, and the method is a compromise scheme and becomes the most mainstream attendance checking method. However, because the attendance time interval is fixed and the collection can only be performed one by one, the existing attendance method based on the characteristics is time-consuming and labor-consuming: the time for checking attendance is long, and the attendance queue is also long.

Therefore, under the scene of many attendance personnel, a method of arranging more feature acquisition equipment is often adopted, so that the method is expensive, but the attendance field cannot be enlarged, and the method is not economical, so that the condition that the traffic suddenly flows before the attendance period is ended to cause congestion still exists. Even more unacceptably, the frequent false attendance of missed punches adds a burden to the employee before they begin their work. The use of human assistance helps to ameliorate these problems, but the exposure and modification of attendance data is not unlike drinking 40489and quenching thirst. More importantly, the separation of the attendance field and the work field makes the attendance result not really represent the attendance condition of the personnel participating in attendance.

In summary, the current attendance checking method has the following problems:

(1) time is consumed, and the attendance time is long;

(2) the method is laborious, the queuing is hard, and the queuing is congested in a burst period;

(3) uneconomic, and extra expenses are needed no matter the attendance equipment is added or the attendance field is enlarged;

(4) the victims miss the card punching to generate wrong attendance, and the heavy attendance task increases extra burden;

(5) the data is unsafe, and the attendance data is exposed and modifiable;

(6) the attendance is inaccurate, and the attendance field is separated from the work field.

Disclosure of Invention

In view of the above problems, the present invention provides a method, an apparatus and a storage medium for human face recognition non-inductive attendance, which overcome or at least partially solve the above problems.

In order to solve the technical problem, the invention provides a face recognition non-inductive attendance checking method, which comprises the following steps:

acquiring a partition tree code of an office area;

acquiring a face recognition database of the office area;

acquiring an attendance partition set according to the partition tree codes;

acquiring attendance source data of the office area;

generating an attendance proof according to the attendance source data;

and generating an attendance result according to the face recognition database and the attendance certificate.

Preferably, the obtaining the partition tree coding of the office area comprises the steps of:

partitioning the office area to obtain office partitions;

acquiring the number of stations in each office partition;

creating a partition tree of the office area;

creating root nodes on the partition trees according to the number of the office areas;

creating branch nodes on the root node according to the number of the office partitions;

creating leaf nodes on the corresponding branch nodes according to the number of the stations in each office partition;

and coding all the root nodes, the branch nodes and the leaf nodes in sequence to obtain the partition tree codes.

Preferably, the acquiring the face recognition database of the office area includes:

creating an idle database;

acquiring all attendance checking personnel in the office area;

acquiring a face acquisition image of each attendance checking person;

extracting face features of each face collected image to obtain face feature identification data;

establishing mapping between the attendance checking personnel and the face feature recognition data;

and storing the mapping into the database to obtain the face recognition database.

Preferably, the obtaining of the attendance partition set according to the partition tree coding comprises the steps of:

acquiring actual attendance personnel;

acquiring an office partition and a station corresponding to each actual attendance checking person;

acquiring the partition tree code;

acquiring all branch nodes and all corresponding leaf nodes in the partition tree code;

and generating an attendance partition set of the actual attendance personnel according to the office partitions, the branch nodes, the stations and the leaf nodes.

Preferably, the acquiring the attendance source data of the office area comprises the steps of:

setting attendance data acquisition equipment in the office area according to the partition tree codes;

acquiring an attendance picture in a corresponding office partition through the attendance data acquisition equipment;

processing the acquisition time of each attendance picture;

collecting and partitioning each attendance checking picture;

and generating attendance source data according to the acquisition time processing and the acquisition partition processing.

Preferably, the generating of the attendance credential according to the attendance source data comprises the steps of:

face detection screening is carried out on the attendance source data to obtain a candidate face image;

carrying out living body detection screening on the candidate face image to obtain a candidate face image;

generating a standard front face image according to the alternative face image;

acquiring acquisition time and acquisition subareas corresponding to the standard front face image;

processing the acquisition time of each standard front face image;

collecting and partitioning each standard front face image;

and generating attendance documents according to the acquisition time processing and the acquisition partition processing.

Preferably, the generating an attendance result according to the face recognition database and the attendance certificate comprises the following steps:

acquiring a standard front face image in the attendance certificate;

extracting the face features of the standard front face image to obtain face features;

comparing the face features with the face recognition database;

obtaining all the residual standard front face images which are successfully compared;

acquiring attendance checking personnel, acquisition time and acquisition subareas corresponding to all the remaining standard front face images;

and generating the attendance result according to the attendance personnel, the acquisition time and the acquisition subareas.

The application also provides a face identification noninductive attendance device, the device includes:

the partition tree code acquisition module is used for acquiring partition tree codes of the office area;

the face recognition database acquisition module is used for acquiring a face recognition database of the office area;

the attendance partition set acquisition module is used for acquiring an attendance partition set according to the partition tree codes;

the attendance source data acquisition module is used for acquiring attendance source data of the office area;

the attendance record generation module is used for generating attendance records according to the attendance source data;

and the attendance result generating module is used for generating an attendance result according to the face recognition database and the attendance certificate.

The present application further provides an electronic device, which includes:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute any one of the face recognition non-sensory attendance methods.

The application also provides a non-transitory computer readable storage medium, which stores computer instructions for causing the computer to execute any one of the above-mentioned face recognition non-inductive attendance methods.

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages: according to the face recognition non-inductive attendance method, the face recognition non-inductive attendance device and the storage medium, the attendance check checkpoint is not arranged, the time for attendance personnel to enter an office space can be greatly shortened, and the time is saved; the attendance personnel do not need to queue up to grab the face, thereby saving labor; saving attendance equipment and attendance field and saving money; data access to the attendance system is reduced, and the system is safe; the attendance checking system can directly verify whether the attendance checking personnel are on duty or not, and is accurate.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

Fig. 1 is a schematic flow chart of a face recognition non-inductive attendance method provided by an embodiment of the invention;

fig. 2 is a schematic structural diagram of a face recognition non-inductive attendance checking device provided by the embodiment of the invention;

FIG. 3 is a schematic structural diagram of an electronic device according to the present invention;

fig. 4 is a schematic structural diagram of a non-transitory computer-readable storage medium according to the present invention.

Detailed Description

The present invention will be described in detail below with reference to specific embodiments and examples, and the advantages and various effects of the present invention will be more clearly apparent therefrom. It will be understood by those skilled in the art that these specific embodiments and examples are for the purpose of illustrating the invention and are not to be construed as limiting the invention.

Throughout the specification, unless otherwise specifically noted, terms used herein should be understood as having meanings as commonly used in the art. Accordingly, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. If there is a conflict, the present specification will control.

Unless otherwise specifically stated, various raw materials, reagents, instruments, equipment and the like used in the present invention are commercially available or can be prepared by existing methods.

As shown in fig. 1, in the embodiment of the present application, the present invention provides a method for checking attendance without sensing by face recognition, where the method includes the steps of:

s1: acquiring a partition tree code of an office area;

in this embodiment of the present application, the obtaining the partition tree code of the office area includes:

partitioning the office area to obtain office partitions;

acquiring the number of stations in each office partition;

creating a partition tree of the office area;

In the embodiment of the present application, a generation process of partition tree coding is illustrated. The office partition a is 2 office partitions, namely, office partitions a1 and a2, the number of workstations in office partitions a1 and a2 is 1, and the office partitions B1 and B2 are respectively represented, at this time, a partition tree of the office partition is created, the partition tree has 1 root node (represented by a), the 1 root node has 2 branch nodes (represented by a1 and a2, respectively), the a1 branch node has 1 leaf node (represented by B1), the a2 branch node has 1 leaf node (represented by B2), and then all the root node, the branch nodes and the leaf nodes are sequentially encoded to obtain partition tree codes, that is, the partition tree codes may be AA1B1 and AA2B 2.

In the embodiment of the application, after the partition tree is established, attendance can be performed on not only the leaf nodes (branch nodes and leaf nodes), but also all the nodes (including the root node) on the partition tree can be used as attendance places. In a general office, an employee can be required to be on a work station, or the employee can be required to be in a certain office, or even enter the whole field. In some scenarios, there may be no concept of workstations, and it is only necessary to enter a workstation level (a specific area) by a worker, and it is not necessary to fall on a workstation (such as a branch node or a leaf node).

S2: acquiring a face recognition database of the office area;

in this embodiment of the present application, the acquiring the face recognition database of the office area includes:

creating an idle database;

acquiring all attendance checking personnel in the office area;

acquiring a face acquisition image of each attendance checking person;

In the embodiment of the application, the face recognition database can be created by the following steps: the method comprises the steps of collecting face collection images of all attendance checking personnel in an office area, carrying out face feature extraction on each face collection image to obtain face feature identification data, then establishing mapping between the attendance checking personnel and the corresponding face feature identification data, and finally storing the mapping into a database to obtain a face identification database.

S3: acquiring an attendance partition set according to the partition tree codes;

in an embodiment of the present application, the obtaining of the attendance partition set according to the partition tree code includes:

acquiring actual attendance personnel;

acquiring the partition tree code;

In this embodiment of the application, when an attendance partition set is obtained according to the partition tree code, an actual attendance person (for example, C) needing attendance is obtained first, an office partition of the actual attendance person C is a1, and a workstation is B1, an attendance partition set of the actual attendance person C can be generated according to the partition tree codes AA1B1 and AA2B2, and the attendance partition set is used for uniquely locating the office partition and the workstation to which the actual attendance person belongs, and for example, the attendance partition set of the actual attendance person C can be represented as (a1, B1).

S4: acquiring attendance source data of the office area;

in this embodiment of the present application, the acquiring the attendance source data of the office area includes:

processing the acquisition time of each attendance picture;

collecting and partitioning each attendance checking picture;

In the embodiment of the present application, since the partition tree code has 2 (AA1B1 and AA2B2), 2 attendance data acquisition devices may be prepared, and respectively set in the office partitions a1 and a2, and respectively acquire attendance pictures (pictures in the office partitions may be taken periodically or aperiodically) in the corresponding office partitions a1 and a2, and perform acquisition time processing (shooting time marked) and acquisition partition processing (office partition number marked) on each attendance picture, so that each attendance picture has a shooting time and an office partition number.

S5: generating an attendance proof according to the attendance source data;

in an embodiment of the present application, the generating an attendance credential according to the attendance source data includes:

generating a standard front face image according to the alternative face image;

processing the acquisition time of each standard front face image;

collecting and partitioning each standard front face image;

In the embodiment of the application, because the attendance pictures may include other pictures (such as objects) besides the face, face detection and screening are required to be performed on attendance source data at this time, so that pictures containing the face are screened from all the attendance pictures, and the pictures are called candidate face images; then, the candidate face images are subjected to living body detection screening to obtain alternative face images (for example, detection living body information such as iris information and the like is used for preventing cheating of attendance checking by adopting images shot in advance, or face pictures in an office area are mistakenly taken as attendance checking images), then standard front face images are generated according to the alternative face images (namely, incomplete face images are used for generating complete front face images), then acquisition time and acquisition subareas corresponding to the standard front face images are obtained (namely, the shooting time and the office subarea numbers of the candidate face images corresponding to the standard front face images are obtained), then acquisition time processing (shooting time marking) and acquisition subarea processing (office subarea numbers marking) are carried out on each attendance checking image, and thus, attendance checking evidence can be generated.

S6: and generating an attendance result according to the face recognition database and the attendance certificate.

In an embodiment of the present application, the generating an attendance result according to the face recognition database and the attendance credential includes:

acquiring a standard front face image in the attendance certificate;

comparing the face features with the face recognition database;

In this embodiment of the present application, the face features of the standard front face image are extracted and face features are obtained, then the face features are compared with the face recognition database, after the comparison succeeds, it is described that the attendance staff to which the standard front face image corresponds is the attendance staff who has acquired the face image, that is, the staff who belongs to the office area, at this time, the attendance staff (attendance name), the acquisition time (shooting time), and the acquisition partition (office partition number) corresponding to the remaining standard front face image are obtained, and then an attendance result can be generated, for example, the attendance result of the attendance staff C is: c (attendance name) -09: 00 (shooting time) -A1 (office partition number).

As shown in fig. 2, in the embodiment of the present application, the present application further provides a face recognition noninductive attendance device, where the device includes:

a partition tree code obtaining module 10, configured to obtain a partition tree code of an office area;

a face recognition database acquisition module 20, configured to acquire a face recognition database of the office area;

an attendance partition set acquisition module 30, configured to acquire an attendance partition set according to the partition tree code;

the attendance source data acquisition module 40 is used for acquiring attendance source data of the office area;

the attendance credential generating module 50 is configured to generate an attendance credential according to the attendance source data;

and an attendance result generating module 60, configured to generate an attendance result according to the face recognition database and the attendance credential.

The face recognition non-inductive attendance device can execute the face recognition non-inductive attendance method provided by the steps.

Referring now to FIG. 3, a block diagram of an electronic device 100 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 100 may include a processing means (e.g., a central processing unit, a graphic processor, etc.) 101 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)102 or a program loaded from a storage means 108 into a Random Access Memory (RAM) 103. In the RAM 103, various programs and data necessary for the operation of the electronic apparatus 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input/output (I/O) interface 105 is also connected to bus 104.

Generally, the following devices may be connected to the I/O interface 105: input devices 106 including, for example, a touch screen, touch pad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 108 including, for example, magnetic tape, hard disk, etc.; and a communication device 109. The communication means 109 may allow the electronic device 100 to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device 100 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 109, or installed from the storage means 108, or installed from the ROM 102. The computer program, when executed by the processing device 101, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

Referring now to fig. 4, a schematic diagram of a computer-readable storage medium suitable for implementing the embodiments of the present disclosure is shown, the computer-readable storage medium storing a computer program, which when executed by a processor is capable of implementing the face recognition-based non-sensory attendance method as described in any of the above.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.

Alternatively, the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".

According to the face recognition non-inductive attendance method, the face recognition non-inductive attendance device and the storage medium, the attendance check checkpoint is not arranged, the time for attendance personnel to enter an office space can be greatly shortened, and the time is saved; the attendance personnel do not need to queue up to grab the face, thereby saving labor; saving attendance equipment and attendance field and saving money; data access to the attendance system is reduced, and the system is safe; the attendance checking system can directly verify whether the attendance checking personnel are on duty or not, and is accurate.

It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.

Claims

1. A face recognition non-inductive attendance checking method is characterized by comprising the following steps:

acquiring a partition tree code of an office area;

acquiring a face recognition database of the office area;

acquiring an attendance partition set according to the partition tree codes;

acquiring attendance source data of the office area;

generating an attendance proof according to the attendance source data;

2. The face recognition noninductive attendance method of claim 1, wherein the obtaining of the partition tree coding of the office area comprises the steps of:

partitioning the office area to obtain office partitions;

acquiring the number of stations in each office partition;

creating a partition tree of the office area;

3. The face recognition sensorless attendance method according to claim 1, wherein the step of obtaining the face recognition database of the office area comprises the steps of:

creating an idle database;

acquiring all attendance checking personnel in the office area;

acquiring a face acquisition image of each attendance checking person;

4. The face recognition non-sensible attendance method of claim 1, wherein the obtaining of the attendance partition set according to the partition tree coding comprises the steps of:

acquiring actual attendance personnel;

acquiring the partition tree code;

5. The face recognition non-inductive attendance method according to claim 1, wherein the obtaining of the attendance source data of the office area comprises the steps of:

processing the acquisition time of each attendance picture;

collecting and partitioning each attendance checking picture;

6. The face recognition noninductive attendance method of claim 1, wherein the generating of the attendance credential from the attendance source data comprises the steps of:

generating a standard front face image according to the alternative face image;

processing the acquisition time of each standard front face image;

collecting and partitioning each standard front face image;

7. The face recognition noninductive attendance method of claim 1, wherein the generating of the attendance result according to the face recognition database and the attendance certificate comprises the steps of:

acquiring a standard front face image in the attendance certificate;

comparing the face features with the face recognition database;

8. A face recognition noninductive attendance device, characterized in that the device includes:

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the face recognition noninductive attendance method of any of the preceding claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the face recognition non-sensory attendance method of any one of claims 1-7.