CN210052203U - Attendance check-in system based on multiple identification methods - Google Patents
Attendance check-in system based on multiple identification methods Download PDFInfo
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- CN210052203U CN210052203U CN201822102341.6U CN201822102341U CN210052203U CN 210052203 U CN210052203 U CN 210052203U CN 201822102341 U CN201822102341 U CN 201822102341U CN 210052203 U CN210052203 U CN 210052203U
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Abstract
The utility model provides an attendance checking and signing system based on a plurality of identification methods, which comprises an identification subsystem, an operation subsystem and a recording subsystem; the operation subsystem comprises a storage unit and a control unit; the storage unit is connected with the control unit; the output end of the control unit is connected with the input ends of the acquisition and transmission unit and the identification subsystem; the identification subsystem comprises a face identification unit, a living body identification unit, an iris identification unit and a certificate identification unit; the input end of the identification subsystem is connected with the output end of the input subsystem; the output end of the identification subsystem is connected with the input end of the control unit; the input subsystem comprises an acquisition transmission unit and a preprocessing unit, and the output end of the acquisition transmission unit is connected with the input end of the preprocessing unit; the utility model discloses can improve the precision and the reliability of discernment.
Description
Technical Field
The utility model relates to a biological identification field especially relates to an attendance system of registering based on multiple identification method.
Background
The face recognition attendance machine is a novel storage attendance machine, only needs to collect the face of an employee in advance and establish a file, and when the employee stands on duty and off duty in the recognition area of the face recognition attendance machine, the attendance machine can quickly record attendance conditions and save records. The identification method for limiting the identification area is easy to cause congestion when the flow of people is large, influences the efficiency and has poor robustness.
In addition, when holding some important large-scale meetings, can make the meeting certificate according to meeting personnel's quantity usually, only rely on the meeting certificate can have the qualification of entering the field, but it is a complicated loaded down with trivial details process to sign in work to the meeting personnel, not only need print the roster of signing in, extravagant a large amount of paper, but also need arrange a large amount of staff and carry out the identity verification of basic information such as height outward appearance, personal photo and meeting certificate to the huge meeting personnel of number, consume a large amount of manpower, material resources and time, seriously influence the process of meeting.
SUMMERY OF THE UTILITY MODEL
In view of the above prior art's shortcoming, the utility model provides an attendance system of registering based on multiple identification method mainly solves the too loaded down with trivial details problem that should not develop of large-scale activity attendance and authentication work, solves the problem that single identification method precision is not high simultaneously to and solve present attendance equipment flexibility poor, the problem that the suitability is poor.
In order to solve the problem, the utility model provides an attendance system of registering based on multiple identification method, the technical scheme of its adoption as follows:
an attendance check-in system based on a plurality of identification methods is characterized by comprising an identification subsystem, an operation subsystem and an input subsystem for acquiring and processing information to be identified;
the operation subsystem comprises a storage unit and a control unit; the storage unit is connected with the control unit; the output end of the control unit is connected with the input ends of the acquisition and transmission unit and the identification subsystem;
the identification subsystem comprises a face identification unit, a living body identification unit, an iris identification unit and a certificate identification unit; the input end of the identification subsystem is connected with the output end of the input subsystem; the output end of the identification subsystem is connected with the input end of the control unit;
the input subsystem comprises a collection transmission unit and a preprocessing unit, and the output end of the collection transmission unit is connected with the input end of the preprocessing unit.
Preferably, the attendance checking system based on multiple identification methods further comprises a registration unit, wherein the input end of the registration unit is connected with the output end of the preprocessing unit; and the output end of the registration unit is connected with the input end of the control unit.
Preferably, the attendance checking and attendance checking system based on multiple identification methods further comprises a display unit, and the input end of the display unit is connected with the output end of the control unit.
Preferably, the control unit comprises a processor and an operation module for initiating identification or registration, an output of the operation module being connected to an input of the processor.
Preferably, gather the transmission unit and include camera module, certificate collection module, iris collection module and transmission module, camera module, certificate collection module, iris collection module's output with transmission module's input is connected, transmission module's output with preprocessing module's input is connected.
Preferably, the preprocessing unit comprises a feature extraction module and a positioning module for positioning information to be identified; the output end of the positioning module is connected with the input ends of the feature extraction module and the control unit; the output end of the feature extraction module is connected with the input ends of the registration unit and the identification subsystem.
Preferably, the registration unit comprises a real-time processing module for acquiring information of the persons to be registered on site and a batch processing module for introducing the information of the persons to be registered in batches, and the output ends of the real-time processing module and the batch processing module are connected to the input end of the control unit.
As described above, the utility model discloses an attendance system of registering based on multiple identification method has following beneficial effect:
the information is collected in real time, so that the flexibility of the system is enhanced, and the operation is simpler and more convenient; the recognition precision can be improved by combining a plurality of recognition methods; the certificate recognition and the face recognition are combined, so that the face information and the certificate information can be associated, the processes of making a roster and manually signing in are saved, and a large-scale activity process can be greatly optimized; unregistered personnel can register on site, and the operation is simple and easy to realize.
Drawings
Fig. 1 is the embodiment of the present invention provides a structural block diagram of an attendance check-in system based on multiple identification methods.
Description of the symbols
001 recording subsystem
002 identifying subsystem
003 operating subsystem
004 acquisition transmission unit
005 pretreatment unit
006 registration unit
007 face recognition unit
008 living body identification unit
009 Iris identification unit
010 certificate recognition unit
011 display unit
012 memory cell
013 control unit
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will be readily apparent to those skilled in the art from the disclosure herein. The present invention can also be implemented or applied through other different specific embodiments, and various details in the present specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
Referring to fig. 1, the present invention provides an attendance checking system based on multiple identification methods, which includes an identification subsystem 002, an operation subsystem 003, and an input subsystem 001 for collecting and processing information to be identified;
the operation subsystem includes a storage unit 012 and a control unit 013; the storage unit 012 is connected to the control unit 013; the output end of the control unit 013 is connected to the input ends of the acquisition and transmission unit 004 and the identification subsystem 002;
the identification subsystem 002 comprises a face identification unit 007, a living body identification unit 008, an iris identification unit 009 and a certificate identification unit 010; the input end of the identification subsystem 002 is connected with the output end of the input subsystem 001; the output of the identification subsystem 002 is connected to the input of the control unit 013;
the logging-in subsystem 001 comprises a collection transmission unit 004 and a preprocessing unit 005, and the output end of the collection transmission unit 004 is connected with the input end of the preprocessing unit 005.
In the identification mode, preferably, the operator starts identification operation through the operation module, the operation module transmits a control command to a processor in the control unit, the operation module may be a touch screen, a function button or a remote controller, and the processor may be a CPU, an ARM module or a DSP processor. The processor sends a command to the logging subsystem 001.
The acquisition and transmission unit 004 in the input subsystem 001 acquires real-time video stream information through the camera module, and the video stream information is transmitted to the preprocessing unit 005 through the transmission module. The camera module can be a camera, a video camera, a camera or other devices with a photographing function.
The positioning module in the preprocessing unit 005 acquires video stream information, positions a face or a certificate worn in the video stream, and transmits the positioned information to the feature extraction module to extract features in the positioned information.
The positioning module is connected with the control unit 013, sends the video stream information to the display unit 011 through the control unit, displays the video stream information in real time through the display unit 011, and adds a detection frame for detecting the face or the certificate in the displayed image. The output end of the feature extraction module is connected to the registration unit 006, and the feature value is transmitted to the control unit 013 by the registration unit 006, and then is stored in the storage unit 012 by the control unit 013. The output end of the feature extraction module is also connected with the input port of the identification subsystem 002, and the extracted feature value is sent to the corresponding identification unit in the identification subsystem 002. The control unit 013 extracts the registered user data from the storage unit and sends the user data to the recognition subsystem 002.
If the information to be identified is the face feature, the identification subsystem 002 activates the face identification unit 007, compares the face feature information transmitted by the feature extraction module with the registered face information transmitted by the control unit 013, and transmits the comparison result to the control unit 013 through the output port of the identification subsystem 002. The control unit 013 transmits the comparison result to the display unit 011 for real-time display, and transmits the comparison result to the storage unit 012 for storage. Preferably, when extracting the face features, the feature extraction module may simultaneously extract combined actions such as opening a mouth, blinking, shaking, and the like, activate the living body recognition unit 008 while activating the face recognition unit 007, transmit combined action information to the living body recognition unit 008, recognize whether the object to be tested is a living body, and transmit the result to the control unit 013.
Preferably, the iris acquisition module acquires iris information, sends the iris information to the preprocessing unit 005 to extract iris features, performs iris recognition and face recognition by combining face features, and sends a recognition result to the control unit 013. The iris acquisition module may be a scanner, a BMT-20 iris acquisition instrument, or the like.
If the information to be identified is certificate information, the certificate acquisition module acquires the certificate information and sends the certificate information to the preprocessing unit 005 to extract the certificate characteristics. The certificate acquisition module can be an electronic card reader, an infrared scanner or a module directly used for information input. The identification subsystem 002 activates the certificate identification unit 010, compares the certificate feature information transmitted by the feature extraction module with the registered certificate information transmitted by the control unit 013, and transmits the comparison result to the control unit 013 through the output port of the identification subsystem 002.
Preferably, according to the secret-related level or the priority level of the measured object, the characteristics of the face, the iris and the certificate can be associated, and the reliability of recognition is enhanced by combining living body recognition.
In the registration mode, preferably, an operator starts a registration function through the operation module, the operation module transmits a control command to a processor in the control unit, the operation module may be a touch screen, a function button or a remote controller, and the processor module may be a CPU, an ARM module or a DSP processor. The processor sends a command to the logging subsystem 001.
The acquisition and transmission unit 004 in the input subsystem 001 acquires real-time video stream information through a camera or other camera devices, and the video stream information is transmitted to the preprocessing unit 005 through the transmission module.
The positioning module in the preprocessing unit 005 acquires video stream information, positions a face or a certificate worn in the video stream, and transmits the positioned information to the feature extraction module to extract features in the positioned information.
The feature extraction module sends the extracted features to the registration unit 006, the registration unit 006 associates the features of the corresponding face, certificate and iris and sends the associated features to the control unit 013, the control unit 013 controls the display unit 011 to display the relevant information, and the control unit 013 sends the user registration information to the storage unit 012 for storage.
Preferably, the characteristic information of the person to be registered may be collected in advance, and the characteristic information may be imported into the batch processing module in the registration unit 006 in batches, sent to the control unit 013 by the batch processing module, sent to the storage unit 012 by the control unit in a unified manner, and stored in association with the identity information and the characteristic information. The registration unit 006 also supports on-site real-time registration of a single object, and a real-time processing module in the registration unit 006 receives the feature information of the real-time image extracted by the preprocessing unit 005 and transmits the feature information to the control unit 013.
Finally, the utility model relates to an attendance machine during use, register including information such as name, affiliated unit, department, people's face picture earlier, during the use, treat that the registration personnel is certain distance before the attendance machine, take a candid photograph the people's face, can realize the attendance function. When the attendance machine is used, the information of the participants, including names, affiliated units, departments, contact phones, face pictures and other information, is registered, and when the attendance machine is used, a worker takes a snapshot of the face at a certain distance in front of the attendance machine, so that the attendance function can be realized. The iris recognition and the certificate authentication are combined, so that the recognition precision and reliability are greatly improved. Therefore, the utility model effectively overcomes various defects in the prior art and has high industrial utilization value.
The above embodiments are merely illustrative of the principles and effects of the present invention, and are not to be construed as limiting the invention. Modifications and variations can be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which may be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (5)
1. An attendance check-in system based on a plurality of identification methods is characterized by comprising an identification subsystem, an operation subsystem and an input subsystem for acquiring and processing information to be identified;
the input subsystem comprises an acquisition transmission unit and a preprocessing unit, and the output end of the acquisition transmission unit is connected with the input end of the preprocessing unit; the preprocessing unit comprises a feature extraction module and a positioning module for positioning information to be identified; the output end of the positioning module is connected with the input ends of the feature extraction module and the control unit; the output end of the feature extraction module is connected to the input end of the identification subsystem;
the operation subsystem comprises a storage unit and a control unit; the storage unit is connected with the control unit; the output end of the control unit is connected with the input ends of the acquisition and transmission unit and the identification subsystem;
the identification subsystem comprises a face identification unit, a living body identification unit, an iris identification unit and a certificate identification unit; the input end of the identification subsystem is connected with the output end of the input subsystem; the output end of the identification subsystem is connected with the input end of the control unit;
gather the transmission unit and include camera module, certificate collection module, iris collection module and transmission module, camera module, certificate collection module, iris collection module's output with transmission module's input is connected, transmission module's output with preprocessing module's input is connected.
2. The attendance check-in system based on multiple identification methods according to claim 1, characterized in that, further comprising a registration unit, an input end of the registration unit is connected with an output end of the preprocessing unit; and the output end of the registration unit is connected with the input end of the control unit.
3. The attendance check-in system based on multiple identification methods according to claim 1, characterized in that, further comprises a display unit, the input end of the display unit is connected with the output end of the control unit.
4. The attendance check-in system based on multiple identification methods of claim 1, wherein the control unit comprises a processor and an operation module for initiating identification or registration, an output of the operation module being connected to an input of the processor.
5. The attendance checking.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201822102341.6U CN210052203U (en) | 2018-12-14 | 2018-12-14 | Attendance check-in system based on multiple identification methods |
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| CN201822102341.6U CN210052203U (en) | 2018-12-14 | 2018-12-14 | Attendance check-in system based on multiple identification methods |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114049696A (en) * | 2021-11-17 | 2022-02-15 | 福建信息职业技术学院 | Laboratory automatic sign-in terminal based on face recognition and use method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114049696A (en) * | 2021-11-17 | 2022-02-15 | 福建信息职业技术学院 | Laboratory automatic sign-in terminal based on face recognition and use method |
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