CN113870453A - Student attendance management equipment based on face recognition - Google Patents
Student attendance management equipment based on face recognition Download PDFInfo
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- CN113870453A CN113870453A CN202111081725.4A CN202111081725A CN113870453A CN 113870453 A CN113870453 A CN 113870453A CN 202111081725 A CN202111081725 A CN 202111081725A CN 113870453 A CN113870453 A CN 113870453A
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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
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Abstract
The invention discloses student attendance management equipment based on face recognition, which comprises an attendance terminal, a server, a user terminal and a management terminal, wherein the attendance terminal is used for collecting face information to be recognized, the server is used for processing the information sent by the attendance terminal and sending the processed information to the attendance terminal, the user terminal and the management terminal, the user terminal is used for receiving attendance reminding information and inquiring attendance record information, the management terminal is used for inputting the user information and managing the information stored by the server, the invention collects the face information to be recognized through the attendance terminal and controls a USB camera to rotate to collect a forward face image by obtaining the posture angle information of the face, which provides an important basis for the accuracy and the speed of the face recognition by the server, and meanwhile, a teacher can check the attendance information through the user terminal, the student can check the card punching information through the user terminal, and the convenience of use of the user is improved.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to student attendance management equipment based on face recognition.
Background
At present, in a classroom of a school, a traditional roll call mode wastes time, and meanwhile, due to the fact that the number of students is too many, a teacher cannot remember all students, the problems that some students answer and sign are caused, and therefore a convenient and fast attendance system is an important guarantee of unique correspondence of attendance information and attendance students.
Therefore, it is an urgent need to solve the above problems by providing a new technical solution.
Disclosure of Invention
In view of the above, the present invention provides a student attendance management device based on face recognition, so as to solve the above technical problems.
In order to achieve the purpose, the invention provides the following technical scheme:
a student attendance management device based on face recognition comprises an attendance terminal, a server, a user terminal and a management terminal.
In the above scheme, the attendance checking terminal is used for collecting the face information to be recognized.
In the above scheme, the server is in communication with the attendance terminal, the user terminal and the management terminal are both in communication with the server, the server is used for processing information sent by the attendance terminal and sending the processed information to the attendance terminal, the user terminal and the management terminal, the user terminal is used for receiving attendance reminding information and inquiring attendance record information by a user, and the management terminal is used for entering user information and managing information stored by the server.
In the above scheme, the attendance terminal includes a clock module, a positioning module, an infrared sensing module, a face information acquisition module, an information processing module, an attendance interface display module and a voice prompt module, the clock module, the positioning module, the infrared sensing module, the face information acquisition module, the attendance interface display module and the voice prompt module are all connected with the information processing module, the information processing module receives the clock information sent by the clock module and the position information sent by the positioning module and sends the clock information and the position information to the server for storage, the information processing module controls the face information acquisition module to perform information acquisition according to the information sent by the infrared sensing module and controls the attendance interface display module to be turned on and turned off, and meanwhile, the information processing module controls the clock information acquired by the clock module and the image information acquired by the face information acquisition module to be turned on and off And after the processing, the attendance information is displayed by the attendance interface display module, and the attendance interface display module and the voice prompt module are controlled to output an attendance result according to the attendance processing information sent by the server.
In the above scheme, the face information acquisition module includes a USB camera, a camera main control board, a pan-tilt, a stepper motor and a motor driver, the USB camera and the camera main control board are all installed on the pan-tilt, the camera main control board is connected with the USB camera, the stepper motor is connected with the pan-tilt, the motor driver is connected with the stepper motor and the camera main control board, and the motor driver is used for receiving the control signal sent by the camera main control board and driving the stepper motor to control the pan-tilt to rotate.
In the above scheme, the information processing module includes a face detection unit and an information feedback unit, the face detection unit is configured to perform face detection according to the image acquired by the face information acquisition module, the information feedback unit is connected to the face detection unit, and the information feedback unit is configured to send a control signal to a corresponding module according to a detection result of the face detection unit.
In the above scheme, the face detection unit includes a first candidate frame extraction module, a candidate frame screening module, a second candidate frame extraction module, a judgment module, and a face pose angle acquisition module, where the first candidate frame extraction module is configured to input the image acquired by the face information acquisition module into a P-Net subnetwork in a multitask convolutional neural network to acquire a plurality of candidate frames, and perform non-maximum suppression processing on the processed image; the candidate frame screening module is connected with the first candidate frame extracting module, inputs the image processed by the first candidate frame extracting module into an R-Net sub-network in a multitask convolutional neural network, and excludes non-face candidate frames in the image; the second candidate frame extraction module is connected with the candidate frame screening module, and is used for inputting the image processed by the second candidate frame extraction module into an O-Net sub-network in a multitask convolutional neural network to generate an accurate candidate frame; the judging module is connected with the second candidate frame extracting module and is used for judging whether the face information is complete or not according to the information processed by the second candidate frame extracting module; the face pose angle acquisition module is connected with the judgment module and is used for acquiring pose angle information of the face when the judgment module judges that the face information is complete.
In the above scheme, the information feedback unit includes a camera control module, and the camera control module is configured to calculate a collaborative pose of the camera according to the pose angle information of the face obtained by the face detection unit, and convert the collaborative pose into a pulse and send the pulse to the face information acquisition module.
In the above scheme, the information feedback unit further includes a voice prompt control module, the voice prompt control module includes a voice chip, and the voice prompt control module is configured to send a voice prompt control signal to the voice prompt module when the face detection unit determines that the obtained face information is incomplete.
In the scheme, the server comprises a storage module, an information registration module and an information input module, wherein the information registration module and the information input module are connected with the storage module, the storage module is used for storing registration information of the information registration module, input information of the information input module and information sent by the attendance checking terminal, the information registration module comprises an administrator registration unit, a teacher registration unit and a student registration unit, the administrator registration unit is used for performing information registration by an administrator, the teacher registration unit is used for performing information registration by a teacher through a teaching staff number, and the student registration unit is used for performing information registration by a student through a school number; the information input module includes that teacher's information inputs the unit and student's information inputs the unit, teacher's information input unit is used for the administrator to type in teacher's professor job number information and course information, student's information input unit is used for the administrator to type in student's study number information, face image information and course information.
In the above scheme, the server further includes a face recognition module, the face recognition module is connected to the storage module, the face recognition module includes an image enhancement unit, a face region extraction unit and a feature extraction unit, the image enhancement unit includes a filtering module and a graying module, the filtering module is configured to filter, through a mean filtering algorithm, face image information sent by the attendance terminal stored in the storage module, the graying module is connected to the filtering module, and the graying module is configured to perform a grayscale conversion process on the face image processed by the filtering module through a histogram equalization algorithm; the face region extraction unit is connected with the image enhancement unit and is used for acquiring a face region in the image processed by the image enhancement unit through an Adaboost algorithm; the feature extraction unit is connected with the face region extraction unit, and is used for performing convolution processing on Gabor features of the face region through a Gabor filter and the face region image obtained by the face region extraction unit, simultaneously performing feature extraction on the face region image obtained by the face region extraction unit through an LBP (local binary pattern) feature extraction algorithm to obtain a statistical histogram of the face features, then obtaining feature vectors of the face region image according to the statistical histogram, performing fusion processing on the Gabor features and the feature vectors of the face region image, and then performing dimension reduction processing on the feature vectors formed after the fusion processing through a principal component analysis method.
In the above scheme, the face recognition module further comprises a matching unit and a check-in feedback unit, the matching unit is connected with the feature extraction unit, and the matching unit is used for matching the face features extracted by the feature extraction unit with the face image samples stored in the storage module through a random forest algorithm; the attendance checking terminal comprises a matching unit, an attendance checking feedback unit and an attendance checking feedback unit, wherein the attendance checking feedback unit is connected with the matching unit and used for feeding back attendance checking success or failure information to the attendance checking terminal according to a matching result of the matching unit.
In conclusion, the beneficial effects of the invention are as follows: the face information to be recognized is collected through the attendance terminal, the USB camera is controlled to rotate through the attitude angle information of the acquired face, the forward face image is collected, an important basis is provided for the accuracy and the speed of the face recognition by the server, meanwhile, the attendance information can be checked through the teacher's accessible user terminal, the student's accessible user terminal checks the card punching information, and the convenience of the user in use is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic view of the components of the student attendance management device based on face recognition in the invention.
Fig. 2 is a schematic diagram of the human face information acquisition module according to the present invention.
FIG. 3 is a schematic diagram of an information processing module according to the present invention.
Fig. 4 is a schematic diagram of the server according to the present invention.
Fig. 5 is a schematic diagram of the composition of the face recognition module of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
As shown in fig. 1, the student attendance management device based on face recognition of the invention comprises an attendance terminal, a server, a user terminal and a management terminal.
The connection relationship between the above modules of the present invention will be further described in detail with reference to the accompanying drawings.
The attendance checking terminal is used for collecting the face information to be recognized; the server is communicated with the attendance terminal, the user terminal and the management terminal are communicated with the server, the server is used for processing information sent by the attendance terminal and sending the processed information to the attendance terminal, the user terminal and the management terminal, the user terminal is used for receiving attendance reminding information and inquiring attendance recording information by a user, and the management terminal is used for inputting user information and managing the information stored by the server.
In this embodiment, user terminal includes teacher's terminal and student's terminal, and teacher's accessible teacher terminal looks over the number of people information and the student information that does not work in classroom, and student's accessible student's terminal looks over current and historical information of registering of checking card.
In this embodiment, the administrator enters the job information and the course information of the teacher through the management terminal, and enters the student number information, the face image information and the course information of the student.
Furthermore, the attendance terminal comprises a clock module, a positioning module, an infrared induction module, a face information acquisition module, an information processing module, an attendance interface display module and a voice prompt module, wherein the clock module, the positioning module, the infrared induction module, the face information acquisition module, the attendance interface display module and the voice prompt module are all connected with the information processing module, the information processing module receives clock information sent by the clock module and position information sent by the positioning module and sends the clock information and the position information to the server for storage, the information processing module controls the face information acquisition module to acquire information according to the information sent by the infrared induction module and controls the attendance interface display module to be opened and closed, and meanwhile, the information processing module processes the clock information acquired by the clock module and the image information acquired by the face information acquisition module and then controls the attendance interface display module to be opened and closed The attendance processing information sent by the server controls the attendance interface display module and the voice prompt module to output attendance results.
In this embodiment, the infrared sensing module includes infrared sensor, information processing module receives the information that infrared sensing module sent, and when infrared sensing module sensed attendance terminal has the people, the drive face information acquisition module began to gather face information, simultaneously, opens attendance interface display module, can realize the saving of the energy.
In this embodiment, the attendance interface display module includes an LCD display screen, the LCD display screen can display the face image information, the current time information and the attendance result information that the face information acquisition module gathered, the voice prompt module includes a voice prompt.
As shown in fig. 2, the face information acquisition module includes a USB camera, a camera main control board, a pan-tilt, a stepper motor and a motor driver, the USB camera and the camera main control board are all installed on the pan-tilt, the camera main control board is connected with the USB camera, the stepper motor is connected with the pan-tilt, the motor driver is connected with the stepper motor and the camera main control board, and the motor driver is used for receiving a control signal sent by the camera main control board and driving the stepper motor to control the pan-tilt to rotate.
As shown in fig. 3, the information processing module includes a face detection unit and an information feedback unit, the face detection unit is configured to perform face detection according to the image acquired by the face information acquisition module, the information feedback unit is connected to the face detection unit, and the information feedback unit is configured to send a control signal to a corresponding module according to a detection result of the face detection unit.
Further, the face detection unit comprises a first candidate frame extraction module, a candidate frame screening module, a second candidate frame extraction module, a judgment module and a face attitude angle acquisition module, wherein the first candidate frame extraction module is used for inputting the image acquired by the face information acquisition module into a P-Net sub network in a multitask convolutional neural network to acquire a plurality of candidate frames and performing non-maximum suppression processing on the processed image; the candidate frame screening module is connected with the first candidate frame extracting module, inputs the image processed by the first candidate frame extracting module into an R-Net sub-network in a multitask convolutional neural network, and excludes non-face candidate frames in the image; the second candidate frame extraction module is connected with the candidate frame screening module, and is used for inputting the image processed by the second candidate frame extraction module into an O-Net sub-network in a multitask convolutional neural network to generate an accurate candidate frame; the judging module is connected with the second candidate frame extracting module and is used for judging whether the face information is complete or not according to the information processed by the second candidate frame extracting module; the face pose angle acquisition module is connected with the judgment module and is used for acquiring pose angle information of the face when the judgment module judges that the face information is complete.
Further, the information feedback unit comprises a camera control module, and the camera control module is used for calculating the collaborative pose of the camera according to the pose angle information of the face acquired by the face detection unit, converting the collaborative pose into pulses and sending the pulses to the face information acquisition module.
In this embodiment, the face information acquisition module receives a collaborative pose pulse, and the motor driver drives the stepping motor to control the holder to rotate by a corresponding deflection angle according to the pulse, so as to obtain a forward face image.
Further, the information feedback unit further comprises a voice prompt control module, the voice prompt control module comprises a voice chip, and the voice prompt control module is used for sending a voice prompt control signal to the voice prompt module when the face detection unit judges that the acquired face information is incomplete.
In this embodiment, the voice prompt module receives the information sent by the voice prompt control module, and prompts the user when the face information is incomplete due to the fact that the user wears a mask and the camera only collects part of the face information and the like.
As shown in fig. 4, the server includes a storage module, an information registration module, and an information entry module, where the information registration module and the information entry module are both connected to the storage module, the storage module is configured to store registration information of the information registration module, entry information of the information entry module, and information sent by the attendance terminal, the information registration module includes an administrator registration unit, a teacher registration unit, and a student registration unit, the administrator registration unit is configured to perform information registration by an administrator, the teacher registration unit is configured to perform information registration by a teacher through a teaching employee number, and the student registration unit is configured to perform information registration by a student through a student number; the information input module includes that teacher's information inputs the unit and student's information inputs the unit, teacher's information input unit is used for the administrator to type in teacher's professor job number information and course information, student's information input unit is used for the administrator to type in student's study number information, face image information and course information.
As shown in fig. 5, the server further includes a face recognition module, the face recognition module is connected to the storage module, the face recognition module includes an image enhancement unit, a face region extraction unit and a feature extraction unit, the image enhancement unit includes a filtering module and a graying module, the filtering module is configured to filter, through a mean filtering algorithm, face image information sent by the attendance terminal stored in the storage module, the graying module is connected to the filtering module, and the graying module is configured to perform a grayscale conversion process on the face image processed by the filtering module through a histogram equalization algorithm; the face region extraction unit is connected with the image enhancement unit and is used for acquiring a face region in the image processed by the image enhancement unit through an Adaboost algorithm; the feature extraction unit is connected with the face region extraction unit, and is used for performing convolution processing on Gabor features of the face region through a Gabor filter and the face region image obtained by the face region extraction unit, simultaneously performing feature extraction on the face region image obtained by the face region extraction unit through an LBP (local binary pattern) feature extraction algorithm to obtain a statistical histogram of the face features, then obtaining feature vectors of the face region image according to the statistical histogram, performing fusion processing on the Gabor features and the feature vectors of the face region image, and then performing dimension reduction processing on the feature vectors formed after the fusion processing through a principal component analysis method.
Furthermore, the face recognition module also comprises a matching unit and a check-in feedback unit, the matching unit is connected with the feature extraction unit, and the matching unit is used for matching the face features extracted by the feature extraction unit with the face image samples stored by the storage module through a random forest algorithm; the attendance checking terminal comprises a matching unit, an attendance checking feedback unit and an attendance checking feedback unit, wherein the attendance checking feedback unit is connected with the matching unit and used for feeding back attendance checking success or failure information to the attendance checking terminal according to a matching result of the matching unit.
In this embodiment, the attendance checking terminal receives the information sent by the check-in feedback unit, sends out the voice information of successful check-in through the voice prompt module when the check-in is successful, and displays the interface information containing the word of successful check-in through the attendance checking interface display module; when the attendance is failed, the voice prompt module sends out the voice information of the attendance failure, and the attendance interface display module displays the interface information containing the attendance failure word.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a student attendance management equipment based on face identification which characterized in that includes: the system comprises an attendance checking terminal, a server, a user terminal and a management terminal;
the attendance checking terminal is used for collecting the face information to be recognized;
the server is communicated with the attendance terminal, the user terminal and the management terminal are communicated with the server, the server is used for processing information sent by the attendance terminal and sending the processed information to the attendance terminal, the user terminal and the management terminal, the user terminal is used for receiving attendance reminding information and inquiring attendance recording information by a user, and the management terminal is used for inputting user information and managing the information stored by the server.
2. The student attendance management device based on face recognition according to claim 1, wherein the attendance terminal comprises a clock module, a positioning module, an infrared sensing module, a face information acquisition module, an information processing module, an attendance interface display module and a voice prompt module, the clock module, the positioning module, the infrared sensing module, the face information acquisition module, the attendance interface display module and the voice prompt module are all connected with the information processing module, the information processing module receives clock information sent by the clock module and position information sent by the positioning module, sends the clock information and the position information to the server for storage, the information processing module controls the face information acquisition module to perform information acquisition according to the information sent by the infrared sensing module and controls the attendance interface display module to be turned on and off, meanwhile, the information processing module processes the clock information acquired by the clock module and the image information acquired by the face information acquisition module and then displays the processed clock information and the processed image information through the attendance interface display module, and controls the attendance interface display module and the voice prompt module to output attendance results according to attendance processing information sent by the server.
3. The student attendance management device based on the face recognition as set forth in claim 2, wherein the face information acquisition module includes a USB camera, a camera main control board, a pan/tilt, a stepping motor and a motor driver, the USB camera and the camera main control board are both mounted on the pan/tilt, the camera main control board is connected to the USB camera, the stepping motor is connected to the pan/tilt, the motor driver is connected to the stepping motor and the camera main control board, and the motor driver is configured to receive a control signal sent by the camera main control board and drive the stepping motor to control the pan/tilt to rotate.
4. The student attendance management device based on the face recognition is characterized in that the information processing module comprises a face detection unit and an information feedback unit, the face detection unit is used for carrying out face detection according to the image acquired by the face information acquisition module, the information feedback unit is connected with the face detection unit, and the information feedback unit is used for sending a control signal to the corresponding module according to the detection result of the face detection unit.
5. The student attendance management device based on the face recognition according to claim 4, wherein the face detection unit includes a first candidate frame extraction module, a candidate frame screening module, a second candidate frame extraction module, a judgment module, and a face pose angle acquisition module, the first candidate frame extraction module being configured to input the image acquired by the face information acquisition module into a P-Net subnetwork in a multitask convolutional neural network to acquire a plurality of candidate frames, and perform non-maximum suppression processing on the processed image; the candidate frame screening module is connected with the first candidate frame extracting module, inputs the image processed by the first candidate frame extracting module into an R-Net sub-network in a multitask convolutional neural network, and excludes non-face candidate frames in the image; the second candidate frame extraction module is connected with the candidate frame screening module, and is used for inputting the image processed by the second candidate frame extraction module into an O-Net sub-network in a multitask convolutional neural network to generate an accurate candidate frame; the judging module is connected with the second candidate frame extracting module and is used for judging whether the face information is complete or not according to the information processed by the second candidate frame extracting module; the face pose angle acquisition module is connected with the judgment module and is used for acquiring pose angle information of the face when the judgment module judges that the face information is complete.
6. The student attendance management device based on face recognition according to claim 4, wherein the information feedback unit includes a camera control module configured to calculate a collaborative pose of a camera according to pose angle information of the face acquired by the face detection unit, and convert the collaborative pose into a pulse to be sent to the face information acquisition module.
7. The student attendance management device based on face recognition according to claim 6, wherein the information feedback unit further includes a voice prompt control module, the voice prompt control module includes a voice chip, and the voice prompt control module is configured to send a voice prompt control signal to the voice prompt module when the face detection unit determines that the acquired face information is incomplete.
8. The student attendance management device based on the face recognition according to claim 1, wherein the server includes a storage module, an information registration module, and an information entry module, the information registration module and the information entry module are connected to the storage module, the storage module is configured to store registration information of the information registration module, entry information of the information entry module, and information sent by the attendance terminal, the information registration module includes an administrator registration unit, a teacher registration unit, and a student registration unit, the administrator registration unit is configured to perform information registration by an administrator, the teacher registration unit is configured to perform information registration by a teacher through a professor employee number, and the student registration unit is configured to perform information registration by a student through a student number; the information input module includes that teacher's information inputs the unit and student's information inputs the unit, teacher's information input unit is used for the administrator to type in teacher's professor job number information and course information, student's information input unit is used for the administrator to type in student's study number information, face image information and course information.
9. The student attendance management device based on the face recognition according to claim 8, wherein the server further includes a face recognition module, the face recognition module is connected to the storage module, the face recognition module includes an image enhancement unit, a face region extraction unit and a feature extraction unit, the image enhancement unit includes a filtering module and a graying module, the filtering module is configured to filter, by a mean filtering algorithm, face image information sent by the attendance terminal stored in the storage module, the graying module is connected to the filtering module, and the graying module is configured to perform a grayscale transformation process on the face image processed by the filtering module by a histogram equalization algorithm; the face region extraction unit is connected with the image enhancement unit and is used for acquiring a face region in the image processed by the image enhancement unit through an Adaboost algorithm; the feature extraction unit is connected with the face region extraction unit, and is used for performing convolution processing on Gabor features of the face region through a Gabor filter and the face region image obtained by the face region extraction unit, simultaneously performing feature extraction on the face region image obtained by the face region extraction unit through an LBP (local binary pattern) feature extraction algorithm to obtain a statistical histogram of the face features, then obtaining feature vectors of the face region image according to the statistical histogram, performing fusion processing on the Gabor features and the feature vectors of the face region image, and then performing dimension reduction processing on the feature vectors formed after the fusion processing through a principal component analysis method.
10. The student attendance management device based on the face recognition is characterized in that the face recognition module further comprises a matching unit and a check-in feedback unit, the matching unit is connected with the feature extraction unit, and the matching unit is used for matching the face features extracted by the feature extraction unit with the face image samples stored by the storage module through a random forest algorithm; the attendance checking terminal comprises a matching unit, an attendance checking feedback unit and an attendance checking feedback unit, wherein the attendance checking feedback unit is connected with the matching unit and used for feeding back attendance checking success or failure information to the attendance checking terminal according to a matching result of the matching unit.
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