CN107507289A - A kind of mobile terminal human face identification work-attendance checking method and system - Google Patents
A kind of mobile terminal human face identification work-attendance checking method and system Download PDFInfo
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- CN107507289A CN107507289A CN201710922628.0A CN201710922628A CN107507289A CN 107507289 A CN107507289 A CN 107507289A CN 201710922628 A CN201710922628 A CN 201710922628A CN 107507289 A CN107507289 A CN 107507289A
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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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
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- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
Abstract
The invention discloses a kind of mobile terminal human face identification work-attendance checking method, including：Step 1, company management person are registered by mobile terminal application program；Step 2, company personnel carry out information registering and face registration by company's code；Step 3, employee can log in mobile terminal attendance application program by company's code, user name and initial password and carry out work attendance；Step 4, the facial image detected carry out recognition of face in server end, and checking-in result are returned into user；Step 5, by attendance information write into Databasce, corporate operations personnel can be synchronized to company personnel's management system by the diligent situation that arrives of mobile phone terminal program real time inspection employee, and by attendance data, realize unified management.Present invention also offers a kind of mobile terminal human face identification work-attendance checking system.The present invention determines the position of work attendance personnel by location information, and work attendance personnel identity is determined by recognition of face, the two combination, can be achieved with the mobile terminal work attendance of employee within the specified range.
Description
Technical field
The present invention relates to a kind of Work attendance method and system, and in particular to a kind of mobile terminal human face identification work-attendance checking method and is
System, belongs to work attendance technical field.
Background technology
Work attendance is a kind of management means that each company can select.From it is initial it is artificial register, to radio-frequency card below,
Fingerprint attendance, then face work attendance popular till now, all make great efforts to allow work attendance to become accurate, prevent generation from checking card, be contactless.
Face can not be replaced as the unique feature of the mankind by other people, can prevent generation from checking card, face recognition technology
Develop rapidly, the lifting again and again of the degree of accuracy, be exactly work attendance pipe the advantages of recognition of face in particular with the application of deep learning
Manage the function being badly in need of.At present, most of companies are set by the way of face attendance recorder to carry out staff attendance, it is necessary to purchase hardware
Standby, if company size is big, the purchase of required hardware, maintenance cost are considerable, and in peak period on and off duty, there is also
Employee is lined up situation about checking card.And administrative staff can not real time inspection employee condition of going on duty.
At present, smart mobile phone has become the indispensable product of human hand, with gradually becoming strong for cell phone processor, the work(of mobile phone
It can be not limited to make a phone call already, send short messages.People increasingly get used to handling daily life, such as daily branch using mobile phone
Pay, bank transfer, Video chat, mobile phone office etc..
The content of the invention
Present invention seek to address that the deficiencies in the prior art, especially innovatively propose a kind of based on recognition of face
Mobile terminal Work attendance method and system.
The overall technological scheme that the present invention uses：Company management person is registered by mobile terminal application program, company's letter
Breath and location information are uploaded onto the server by being wirelessly transferred, and server end sends company's code and password to keeper's mailbox.It is public
Department employee is registered by company's code, including information registering and facial image registration.The log-on message of employee is uploaded to service
Device, company management person are audited by mobile terminal application program to employee's log-on message, and after examination ＆ verification passes through, system sends initial
Password is to employee's mailbox.Employee can log in mobile terminal attendance application program by user name and initial password.During staff attendance,
Attendance application is logged in, program automatically turns on mobile phone front camera, and employee presses work attendance button against camera, and program is automatically fixed
Position employee's positional information, if employee is located in company's work attendance specified range, carries out Face datection, detects face upload service
Device carries out recognition of face, if identifying successfully, returns to attendance information, recognition failures, returns to work attendance failure information.Work attendance is believed simultaneously
Write into Databasce is ceased, attendance record is fed back into employee and keeper, and attendance data is synchronized to company personnel's management system.
More specifically, the invention provides a kind of mobile terminal human face identification work-attendance checking method, comprise the following steps：
Step 1, company management person are registered by mobile terminal application program, company information and registration when location information
Uploaded onto the server by being wirelessly transferred, server sends company's code and password to keeper's mailbox；
Step 2, company personnel carry out information registering and face registration by company's code；
Step 3, employee can log in mobile terminal attendance application program by company's code, user name and initial password and be examined
It is diligent；
Step 4, the facial image detected carry out recognition of face in server end, and checking-in result are returned into user；
Step 5, attendance information write into Databasce, corporate operations personnel can be passed through mobile phone terminal program real time inspection employee's
Company personnel's management system is synchronized to diligent situation, and by attendance data, realizes unified management.
Further scheme is：
In step 1, company management person's registration comprises the following steps：
A) company information, including Business Name, mailbox, contact person, contact phone and setting distance, the distance are filled in
It is for setting work attendance scope；
B) program obtains the positional information of registered place；
C) after administrative staff submit information, server sends company's code and password to the registration mailbox of keeper.
Further scheme is：
In step 2, employee carries out information registering and face registration comprises the following steps：
A) company personnel applies adding existing company, fills in the letter such as company's code, name, employee number, mailbox, cell-phone number
Breath；
B) click in next step, program automatically turns on front camera, starts Face datection, starts to gather facial image；
C) facial image and employee information collected uploads onto the server, and facial image passes through deep learning network training
Resume module is converted into face characteristic data；
D) keeper audits employee information and registered images by mobile terminal application program, after examination ＆ verification passes through, server hair
Initial password is sent to employee's registration mailbox, if examination ＆ verification is by the way that log-on message and registered images delete the person of being managed.
Further scheme is：
In step 3, company personnel's work attendance comprises the following steps：
A) user name and password login attendance checking system are relied on；
B) page of registering is entered, program automatically turns on front camera；
C) employee clicks on " starting to register " button, and program obtains staff attendance positional information, judged whether in work attendance automatically
In the range of；
D) program starts Face datection, and the facial image detected is uploaded onto the server.
Further scheme is：
In step 4, server carries out recognition of face and comprised the following steps：
A) facial image is converted into face characteristic data by deep learning network training resume module；
B) similarity between this face characteristic and the registered face characteristic of same subscriber name, similarity are calculated
More than threshold value, then it is assumed that be same person, work attendance success, is otherwise different people, work attendance failure；
C) checking-in result is fed back to employee by server.
Present invention also offers a kind of mobile terminal human face identification work-attendance checking system.
A kind of mobile terminal human face identification work-attendance checking system, including：
Mobile device end and cloud server end, mobile device end include administrator module, employee's module, locating module, people
Face detection module；Cloud server end includes deep learning network training module, face recognition module, company information database, examined
Diligent database of record and employee information database.
Further scheme is：
Described mobile device end includes mobile phone or PAD, can also include other available intelligent mobile terminal equipments.
Further scheme is：
Described administrator module is used for keeper company incorporated, sets work attendance scope, examination ＆ verification, keeper's workforce accreditation information
And human face image information, check employee to diligent situation；Described employee's module is used for employee information registration and face registration, employee
Work attendance, check attendance record；During registered location and staff attendance when described locating module is used to position register of company
Work attendance position；Described face detection module is used to determine whether there is facial image in frame of video.
Further scheme is：
Described deep learning network training module is used for on-line training upgrading human face recognition model.
Further scheme is：
Face registration image is converted to face characteristic data and carried out pair with personal information by described face recognition module
Should, with a certain feature tag in employee information, classification is preserved to employee information database；When carrying out face work attendance, according to
The feature tag extracts face characteristic data, and the face characteristic data generated when work attendance carry out Similarity Measure, if
Same person, then attendance record is stored in database, system is managed so as to feed back to administrator module, employee's module and company personnel
System.
In summary, the invention has the advantages that：
1. determine the position of work attendance personnel by location information, work attendance personnel identity is determined by recognition of face, two
Person combines, and can be achieved with the mobile terminal work attendance of employee within the specified range.So, the hardware that can save face attendance recorder is purchased
Expense, moreover it is possible to realize multidisciplinary, how regional unified management.Facilitate employee, without contact, need not be lined up, only limit scope, no
Limit place.
2. facilitating what keeper grasped employee in real time to arrive diligent situation, employee oneself is facilitated to check checking-in result.By work attendance number
According to Staffing System is synchronized to, the automatic examination mechanism of Employees' achievement can be achieved, improve company personnel's efficiency of management.
3. a certain with employee information is characterized as label, classification forms personal information and facial feature database, during work attendance
Still using this label as foundation, match cognization is done with corresponding face characteristic data, is called, avoided by classification storage and classification
Carry out match cognization in mass data, lifting identification precision, shorten recognition time, make system that there is more preferable robustness and more
High efficiency.
Brief description of the drawings
Fig. 1 is keeper's register flow path figure in the inventive method.
Fig. 2 is employee's register flow path figure in the inventive method.
Fig. 3 is employee's face work attendance flow chart in the inventive method.
Fig. 4 is face identification process figure of the present invention.
Fig. 5 is the working-flow figure of the present invention.
Embodiment
With reference to embodiment and accompanying drawing, clear, complete description is carried out to technical scheme, it is clear that retouched
The embodiment stated is only the part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention,
The every other embodiment that those of ordinary skill in the art are obtained under the premise of creative work is not made, belongs to this hair
The scope of bright protection.
Embodiment 1
In the present invention, a kind of mobile terminal human face identification work-attendance checking method, comprises the following steps：
Step 1, reference picture 1, company management person are registered by mobile terminal application program, company information and registration when
Location information is uploaded onto the server by being wirelessly transferred, and server sends company's code and password to keeper's mailbox；
Step 2, reference picture 2, company personnel carry out information registering and face registration by company's code；
Step 3, reference picture 3, employee can log in mobile terminal attendance application program by user name and initial password and carry out
Work attendance；
Step 4, reference picture 4, cloud server end are carrying out recognition of face to the facial image that detects, and by checking-in result
Return to user；
Step 5, attendance information write into Databasce, corporate operations personnel can be passed through mobile phone terminal program real time inspection employee's
Company personnel's management system is synchronized to diligent situation, and by attendance data, realizes unified management.
According to above-mentioned technical proposal, in step 1, company management person's registration comprises the following steps：
A) company information, including Business Name, mailbox, contact person, contact phone and setting distance, the distance are filled in
It is for setting work attendance scope；
B) program obtains the positional information of registered place；
C) after administrative staff submit information, server sends company's code and password to the registration mailbox of keeper.
According to above-mentioned technical proposal, in step 2, employee carries out information registering and face registration comprises the following steps：
A) company personnel applies adding existing company, fills in the letter such as company's code, name, employee number, mailbox, cell-phone number
Breath；
B) click in next step, program automatically turns on front camera, starts Face datection, starts to gather facial image；
C) facial image and employee information collected uploads onto the server, and facial image passes through deep learning network training
Resume module is converted into face characteristic data；
D) keeper audits employee information and registered images by mobile terminal application program, after examination ＆ verification passes through, server hair
Initial password is sent to employee's registration mailbox, if examination ＆ verification is by the way that log-on message and registered images delete the person of being managed.
According to above-mentioned technical proposal, in step 3, company personnel's work attendance comprises the following steps：
A) user name and password login attendance checking system are relied on；
B) page of registering is entered, program automatically turns on front camera；
C) employee clicks on " starting to register " button, and program obtains staff attendance positional information, judged whether in work attendance automatically
In the range of；
D) program starts Face datection, and the facial image detected is uploaded onto the server.
According to above-mentioned technical proposal, in step 4, server carries out recognition of face, reference picture 4, comprises the following steps：
A) facial image is converted into face characteristic data by deep learning network training resume module；
B) similarity between this face characteristic and the registered face characteristic of same subscriber name, similarity are calculated
More than threshold value, then it is assumed that be same person, work attendance success, is otherwise different people, work attendance failure；
C) checking-in result is fed back to employee by server.
Embodiment 2
In the present invention, a kind of mobile terminal human face identification work-attendance checking system, as shown in figure 5, including：
Administrator module 1, for keeper company incorporated, work attendance scope, examination ＆ verification, keeper's workforce accreditation information and people are set
Face image information, check employee to diligent situation；
Employee's module 2, for employee information registration and face registration, staff attendance, check attendance record；
Locating module 3, work attendance position during registered location and staff attendance during for positioning register of company；
Face detection module 4, for determining whether there is facial image in frame of video；
Cloud server, including deep learning network training module 5, face recognition module 6, company information database 7, examine
Diligent database of record 8 and employee information database 9, deep learning network training module 5 are used for on-line training upgrading recognition of face
Model, face recognition module 6 face registration image is converted into face characteristic data and carried out with personal information it is corresponding, with employee
A certain feature tag in information, classification are preserved to employee information database；When carrying out face work attendance, according to the feature mark
Label extraction face characteristic data, and the face characteristic data that are generated when work attendance carry out Similarity Measure, if same person, then
Attendance record is stored in database, so as to feed back to administrator module 1, employee's module 2 and company personnel's management system 10.
Although reference be made herein to invention has been described for explanatory embodiment of the invention, and above-described embodiment is only this hair
Bright preferable embodiment, embodiments of the present invention are simultaneously not restricted to the described embodiments, it should be appreciated that people in the art
Member can be designed that a lot of other modifications and embodiment, and these modifications and embodiment will fall in principle disclosed in the present application
Within scope and spirit.
Claims (10)
1. a kind of mobile terminal human face identification work-attendance checking method, it is characterised in that comprise the following steps：
Step 1, company management person are registered by mobile terminal application program, company information and registration when location information pass through
It is wirelessly transferred and uploads onto the server, server sends company's code and password to keeper's mailbox；
Step 2, company personnel carry out information registering and face registration by company's code；
Step 3, employee can log in mobile terminal attendance application program by company's code, user name and initial password and carry out work attendance；
Step 4, the facial image detected carry out recognition of face in server end, and checking-in result are returned into user；
Step 5, by attendance information write into Databasce, corporate operations personnel can pass through mobile phone terminal program real time inspection employee to diligent
Situation, and attendance data is synchronized to company personnel's management system, realize unified management.
2. mobile terminal human face identification work-attendance checking method according to claim 1, it is characterised in that：
In step 1, company management person's registration comprises the following steps：
A) company information is filled in, including Business Name, mailbox, contact person, contact phone and setting distance, the distance are to use
To set work attendance scope；
B) program obtains the positional information of registered place；
C) after administrative staff submit information, server sends company's code and password to the registration mailbox of keeper.
3. mobile terminal human face identification work-attendance checking method according to claim 1, it is characterised in that：
In step 2, employee carries out information registering and face registration comprises the following steps：
A) company personnel applies adding existing company, fills in the information such as company's code, name, employee number, mailbox, cell-phone number；
B) click in next step, program automatically turns on front camera, starts Face datection, starts to gather facial image；
C) facial image and employee information collected uploads onto the server, and facial image passes through deep learning network training module
Processing is converted into face characteristic data；
D) keeper audits employee information and registered images by mobile terminal application program, and after examination ＆ verification passes through, server is sent just
Beginning password is to employee's registration mailbox, if examination ＆ verification is by the way that log-on message and registered images delete the person of being managed.
4. mobile terminal human face identification work-attendance checking method according to claim 1, it is characterised in that：
In step 3, company personnel's work attendance comprises the following steps：
A) user name and password login attendance checking system are relied on；
B) page of registering is entered, program automatically turns on front camera；
C) employee clicks on " starting to register " button, and program obtains staff attendance positional information, judged whether in work attendance scope automatically
It is interior；
D) program starts Face datection, and the facial image detected is uploaded onto the server.
5. mobile terminal human face identification work-attendance checking method according to claim 1, it is characterised in that：
In step 4, server carries out recognition of face and comprised the following steps：
A) facial image is converted into face characteristic data by deep learning network training resume module；
B) similarity between this face characteristic and the registered face characteristic of same subscriber name is calculated, similarity is more than
Threshold value, then it is assumed that be same person, work attendance success, is otherwise different people, work attendance failure；
C) checking-in result is fed back to employee by server.
A kind of 6. mobile terminal human face identification work-attendance checking system, it is characterised in that including：
Mobile device end and cloud server end, mobile device end include administrator module, employee's module, locating module, face inspection
Survey module；Cloud server end includes deep learning network training module, face recognition module, company information database, work attendance note
Record database and employee information database.
7. mobile terminal human face identification work-attendance checking system according to claim 6, it is characterised in that：
Described mobile device end includes mobile phone or PAD.
8. mobile terminal human face identification work-attendance checking system according to claim 6, it is characterised in that：
Described administrator module is used for keeper company incorporated, sets work attendance scope, examination ＆ verification, keeper's workforce accreditation information and people
Face image information, check employee to diligent situation；Described employee's module is used for employee information registration and face registration, Yuan Gongkao
It is diligent, check attendance record；Examining when described locating module is used for registered location and staff attendance when positioning register of company
Diligent position；Described face detection module is used to determine whether there is facial image in frame of video.
9. mobile terminal human face identification work-attendance checking system according to claim 6, it is characterised in that：
Described deep learning network training module is used for on-line training upgrading human face recognition model.
10. mobile terminal human face identification work-attendance checking system according to claim 6, it is characterised in that：
Described face recognition module face registration image is converted into face characteristic data and carried out with personal information it is corresponding, with
A certain feature tag in employee information, classification are preserved to employee information database；When carrying out face work attendance, according to the spy
Tag extraction face characteristic data are levied, and the face characteristic data generated when work attendance carry out Similarity Measure, if same
People, then attendance record is stored in database, so as to feed back to administrator module, employee's module and company personnel's management system.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977801A (en) * | 2017-12-25 | 2018-05-01 | 鲁班长（深圳）科技有限公司 | Cloud attendance management method and system for worker's attendance |
| CN108156276A (en) * | 2017-12-28 | 2018-06-12 | 华慧视科技（天津）有限公司 | A kind of circle of friends management method based on recognition of face |
| CN108320345A (en) * | 2018-05-04 | 2018-07-24 | 珠海横琴盛达兆业科技投资有限公司 | A method of the B/S framework based on Baidu recognition of face API realizes Intelligent human-face attendance |
| CN108564674A (en) * | 2018-04-24 | 2018-09-21 | 广州诺舟投资顾问有限公司 | A kind of intelligent attendance system based on comprehensive identification |
| CN108932760A (en) * | 2018-06-14 | 2018-12-04 | 深圳市商汤科技有限公司 | Work attendance method and terminal based on recognition of face |
| CN109064578A (en) * | 2018-09-12 | 2018-12-21 | 山西巨擘天浩科技有限公司 | A kind of attendance system and method based on cloud service |
| CN109919004A (en) * | 2019-01-23 | 2019-06-21 | 深圳职业技术学院 | A kind of Face datection algorithm neural network based |
| CN110472077A (en) * | 2019-07-12 | 2019-11-19 | 浙江执御信息技术有限公司 | The preposition method of calibration of Identification of Images, system, medium and electronic equipment |
| CN110502653A (en) * | 2019-08-23 | 2019-11-26 | 北京市商汤科技开发有限公司 | Express delivery querying method and server, terminal |
| CN110969189A (en) * | 2019-11-06 | 2020-04-07 | 杭州宇泛智能科技有限公司 | Face detection method and device and electronic equipment |
| CN112330833A (en) * | 2020-10-30 | 2021-02-05 | 中国平安人寿保险股份有限公司 | Face recognition attendance data verification method and device and computer equipment |
| CN112465341A (en) * | 2020-11-25 | 2021-03-09 | 迟胜超 | Urban rail transit train driver dispatching personnel equipment |
| CN112613461A (en) * | 2020-12-14 | 2021-04-06 | 南京理工大学 | Intelligent gate communication and attendance checking method and system combining face recognition |
| CN113012311A (en) * | 2021-02-24 | 2021-06-22 | 湖南汽车工程职业学院 | Personnel attendance management system based on intelligent control |
| CN113538720A (en) * | 2020-04-16 | 2021-10-22 | 南京理工大学 | Embedded face recognition attendance checking method based on Haisi intelligent AI chip |
| CN114038077A (en) * | 2021-10-29 | 2022-02-11 | 金陵科技学院 | Temperature measurement system is signed in with special use of epidemic situation prevention and control in classroom |
| CN114363814A (en) * | 2021-12-23 | 2022-04-15 | 浪潮通信信息系统有限公司 | Access control and attendance checking method and system based on operator big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977801A (en) * | 2017-12-25 | 2018-05-01 | 鲁班长（深圳）科技有限公司 | Cloud attendance management method and system for worker's attendance |
| CN108156276A (en) * | 2017-12-28 | 2018-06-12 | 华慧视科技（天津）有限公司 | A kind of circle of friends management method based on recognition of face |
| CN108564674A (en) * | 2018-04-24 | 2018-09-21 | 广州诺舟投资顾问有限公司 | A kind of intelligent attendance system based on comprehensive identification |
| CN108320345A (en) * | 2018-05-04 | 2018-07-24 | 珠海横琴盛达兆业科技投资有限公司 | A method of the B/S framework based on Baidu recognition of face API realizes Intelligent human-face attendance |
| CN108932760A (en) * | 2018-06-14 | 2018-12-04 | 深圳市商汤科技有限公司 | Work attendance method and terminal based on recognition of face |
| CN109064578B (en) * | 2018-09-12 | 2020-11-03 | 山西巨擘天浩科技有限公司 | Attendance system and method based on cloud service |
| CN109064578A (en) * | 2018-09-12 | 2018-12-21 | 山西巨擘天浩科技有限公司 | A kind of attendance system and method based on cloud service |
| CN109919004A (en) * | 2019-01-23 | 2019-06-21 | 深圳职业技术学院 | A kind of Face datection algorithm neural network based |
| CN110472077A (en) * | 2019-07-12 | 2019-11-19 | 浙江执御信息技术有限公司 | The preposition method of calibration of Identification of Images, system, medium and electronic equipment |
| CN110502653A (en) * | 2019-08-23 | 2019-11-26 | 北京市商汤科技开发有限公司 | Express delivery querying method and server, terminal |
| CN110502653B (en) * | 2019-08-23 | 2022-08-02 | 北京市商汤科技开发有限公司 | Express delivery query method, server and terminal |
| CN110969189A (en) * | 2019-11-06 | 2020-04-07 | 杭州宇泛智能科技有限公司 | Face detection method and device and electronic equipment |
| CN110969189B (en) * | 2019-11-06 | 2023-07-25 | 杭州宇泛智能科技有限公司 | Face detection method and device and electronic equipment |
| CN113538720A (en) * | 2020-04-16 | 2021-10-22 | 南京理工大学 | Embedded face recognition attendance checking method based on Haisi intelligent AI chip |
| CN112330833A (en) * | 2020-10-30 | 2021-02-05 | 中国平安人寿保险股份有限公司 | Face recognition attendance data verification method and device and computer equipment |
| CN112465341A (en) * | 2020-11-25 | 2021-03-09 | 迟胜超 | Urban rail transit train driver dispatching personnel equipment |
| CN112613461A (en) * | 2020-12-14 | 2021-04-06 | 南京理工大学 | Intelligent gate communication and attendance checking method and system combining face recognition |
| CN113012311A (en) * | 2021-02-24 | 2021-06-22 | 湖南汽车工程职业学院 | Personnel attendance management system based on intelligent control |
| CN113012311B (en) * | 2021-02-24 | 2023-04-25 | 湖南汽车工程职业学院 | Personnel attendance management system based on intelligent control |
| CN114038077A (en) * | 2021-10-29 | 2022-02-11 | 金陵科技学院 | Temperature measurement system is signed in with special use of epidemic situation prevention and control in classroom |
| CN114363814A (en) * | 2021-12-23 | 2022-04-15 | 浪潮通信信息系统有限公司 | Access control and attendance checking method and system based on operator big data |
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Application publication date: 20171222 |