CN107403476A - Mobile phone terminal dynamic facial identifies attendance checking system - Google Patents
Mobile phone terminal dynamic facial identifies attendance checking system Download PDFInfo
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- CN107403476A CN107403476A CN201710482247.5A CN201710482247A CN107403476A CN 107403476 A CN107403476 A CN 107403476A CN 201710482247 A CN201710482247 A CN 201710482247A CN 107403476 A CN107403476 A CN 107403476A
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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
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1091—Recording time for administrative or management purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
- G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
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Abstract
The present invention relates to attendance checking system technical field, specially a kind of mobile phone terminal dynamic facial identification attendance checking system.Mobile phone terminal dynamic facial identifies attendance checking system, including mobile phone and work attendance server, and the work attendance server is provided with work attendance scope, the mobile phone in the range of the work attendance with the work attendance server wireless connection；The facial image collected is converted into being sent to the work attendance server after view data by attendance application software of the mobile phone camera and installation and operation that the mobile phone includes being used to gather work attendance person's facial image on the mobile phone, the attendance application software.The human face image information of work attendance person is directly sent to attendance recorder by the present invention by mobile phone terminal, work attendance person without being lined up work attendance again, work attendance efficiency greatly improves height, and work attendance person's information is carried out by facial image and compared, accuracy rate is high, and work attendance person could carry out recognition of face only in the coverage of work attendance server by mobile phone terminal, and work attendance person is effectively ensured and shows up really, is less prone to cheating.
Description
Technical field
The present invention relates to attendance checking system technical field, specially a kind of mobile phone terminal dynamic facial identification attendance checking system.
Background technology
Existing attendance checking system has a lot, it is common to use have a fingerprint attendance system, face recognition attendance checking system and check card
Attendance checking system.The operation principle of fingerprint attendance system is system after work attendance object inputs the fingerprint of oneself on fingerprint capturer
Data in the fingerprint and annotation repository of collection are compared program, identify the identity of work attendance object, and carry out work attendance note
Record.Face recognition attendance checking system and attendance checking system of checking card are similar with fingerprint attendance system.
But either fingerprint attendance system, or face recognition attendance checking system and attendance checking system of checking card all exist it is following not
Foot：Work attendance object needs sequentially to carry out work attendance operation, can not when carrying out attendance record in a large amount of work attendance object sets
Evitable to occur being lined up jam, efficiency is low and wastes the plenty of time, and attendance data is often with important
Actual effect, work attendance person are probably late caused by queuing；Traditional fingerprint attendance or work attendance of checking card, easily occur practicing fraud now
As the phenomenon that generation swipes the card for brush fingerprint film is a lot.
Prior art also teaches cell phone attendance system, mobile phone work attendance refers to that installation attendance application is soft on smart mobile phone
Part, coordinate GPS or LBS to be positioned using terminal recognition, positioning letter is sent by the artificial active of employee or mobile phone automatically
Cease to confirm employee position and the working condition of employee is judged with this, and the work attendance situation of employee is judged by position, one
The corresponding work attendance person of portion's mobile phone, work attendance person usually occurs that situations such as losing is taken in mobile phone leakage, therefore implements extremely difficult,
And it is easy to cheating occur, for example, user can allow colleague to bring spare mobile phone into more by preparing a spare mobile phone
Office Area carries out work attendance cheating, and the mode such as can also be escaped from prison by mobile phone changes the physical location of mobile phone to reach work attendance cheating
Purpose.
The content of the invention
The problem of present invention exists for prior art, it is proposed that a kind of mobile phone terminal dynamic facial identifies attendance checking system, leads to
Cross mobile phone terminal and the human face image information of work attendance person is directly sent to attendance recorder, work attendance person without being lined up work attendance, work attendance efficiency again
Height is greatly improved, and work attendance person's information is carried out by facial image and compared, accuracy rate is high, and work attendance person is only in work attendance server
Coverage in could by mobile phone terminal carry out recognition of face, work attendance person is effectively ensured and shows up really, is less prone to cheating
Phenomenon.
The technical solution adopted for the present invention to solve the technical problems is：A kind of mobile phone terminal dynamic facial identification work attendance system
System, including mobile phone and work attendance server, the work attendance server are provided with work attendance scope, the mobile phone in the range of the work attendance and
The work attendance server wireless connection；
The mobile phone includes being used for mobile phone camera and installation and operation the examining on the mobile phone for gathering work attendance person's facial image
The facial image collected is converted into being sent to the work attendance clothes after view data by diligent application software, the attendance application software
Business device；
The work attendance server receives described image data, and by described image data and is pre-stored in the work attendance server
View data is contrasted to complete face work attendance identification；
Or the work attendance server is connected with cloud server, view data is sent to the high in the clouds by the work attendance server
Server, the cloud server do described image data and the human face image information that is pre-stored in the cloud server pair
Than being identified with completing face work attendance；
Wherein, the facial image of mobile phone camera collection is at least two.
Preferably, the attendance application software is used to facial image being converted into three-dimensional tensor data, and pass through data
Compact model is compressed to three-dimensional tensor data to obtain compressed data；
The work attendance server is used to compressed data solution is pressed into three-dimensional tensor data by data recovery model, and three-dimensional is opened
Amount data and the view data being pre-stored in the work attendance server are contrasted to complete face work attendance identification.
Preferably, the data compression model is, wherein, T* is facial image
The three-dimensional tensor data of conversion,（X_1, X_2,…,X_n）For the Gauss tensor of the n same dimension randomly generated,<T*, X_
i>For T* and one of Gauss tensor X_i inner product, e_i is the generation error in transmission every time, (y_1, y_2 ..y_n)
The compressed data received for work attendance server.
Preferably, the three-dimensional tensor data T* in data compression model is decomposed to obtain, the X_i stated in data compression model is decomposed to obtain, to obtain the decomposed form of data compression model,
, whereinFor Gauss
Random vector, K are three-dimensional tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is for estimating
Calculate unknown parameter oneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
Preferably, three-dimensional tensor data are sent to cloud server, the cloud server by the work attendance server
Directly the three-dimensional tensor data received and the view data being pre-stored in cloud server are compared to complete face work attendance
Identification.
Preferably, the work attendance server is connected with cloud server, the work attendance server is by three-dimensional tensor number
According to being sent to cloud server, the cloud server by three-dimensional tensor data convert into facial image, and by facial image with
The facial image being pre-stored in cloud server is compared to complete face work attendance identification.
Preferably, each facial image forms one group of compressed data, the attendance application software is by same work attendance person
Multigroup compressed data for being formed of multiple facial images transmit to the work attendance server, the mobile phone takes with the work attendance
Be engaged in device between can the multiple work attendance persons of simultaneous transmission Compressed Facial Image bag.
Preferably, the attendance application software is connected with the mobile phone camera, the attendance application software includes figure
As comparison unit, described image comparison unit is used to contrast two facial images of mobile phone camera continuous acquisition to ensure
The facial image of continuous acquisition differs.
Preferably, it is additionally provided with human face image collecting device on the work attendance server.
Preferably, the mobile phone also needs to obtain work attendance person's fingerprint or work attendance person's vein pattern or work attendance person's iris or dynamic
One or more and the facial image of mobile phone collection in password password are together sent to the work attendance server.
The invention has the advantages that 1, the human face image information of work attendance person is directly sent to by work attendance by mobile phone terminal
Machine, without being lined up work attendance again, work attendance efficiency greatly improves work attendance person, and carries out work attendance person's information by facial image and compare, accurate
True rate is high, and is less prone to cheating；2nd, work attendance person must could carry out mobile phone terminal in the range of the work attendance of work attendance server
Face recognition, ensure that work attendance person shows up really, avoid the occurrence of cheating；3rd, data compression model and data recovery mould are passed through
Type can turn into Compressed Facial Image in mobile phone terminal 1/3 power of original image, and in work attendance server end or cloud server
Effectively restored, substantially increase the efficiency of transmission of face image data, so as to improve work attendance efficiency.
Brief description of the drawings
Fig. 1 is the schematic diagram that a kind of mobile phone terminal dynamic facial of the present invention identifies attendance checking system.
Embodiment
Further illustrate technical scheme below in conjunction with the accompanying drawings and by embodiment.
As shown in figure 1, a kind of mobile phone terminal dynamic facial identification attendance checking system, including mobile phone and work attendance server, it is described to examine
Diligent server is provided with work attendance scope, the mobile phone in the range of the work attendance with the work attendance server wireless connection.Mobile phone with
Work attendance server can be connected by the various wireless modes such as WIFI, bluetooth, if being connected by WIFI modes, then work attendance scope
Just it is configured by WIFI distribution.
The mobile phone is including the mobile phone camera for being used to gather work attendance person's facial image and installation and operation in the mobile phone
Attendance application software, the facial image collected is converted into being sent to described examine after view data by the attendance application software
Diligent server.In order to ensure the recognition efficiency of facial image, i.e., in order to ensure work attendance efficiency, the face figure of mobile phone camera collection
As at least two.And the facial image of mobile phone camera continuous acquisition needs difference, no person is by multiple consecutive identical face figures
As being judged to one.Attendance application software is connected with mobile phone camera, and attendance application software includes image comparison unit, image comparison
Unit can contrast two facial images of mobile phone camera continuous acquisition, when the difference of two facial images is less than certain threshold
During value, then two facial images are judged to identical, and only leave and take a wherein facial image.
For example, mobile phone camera needs to gather three facial images, image 1 and image 2 are sequentially gathered, if figure
As 1 and the difference of image 2, then retain image 1 and image 2, continue to gather image 3, image 2 and image 3 are contrasted, if image
2 is identical with image 3, then deletes image 3, continues to gather new image 3, untill image 2 and the difference of image 3.
Recognition of face is done by multiple different facial images, the accuracy rate and recognition efficiency of recognition of face can be improved,
So as to improve the work attendance efficiency of work attendance person, and it is not easy cheating occur.
The work attendance server receives described image data, and by described image data and is pre-stored in the work attendance server
In view data contrast with complete face work attendance identification.Attendance checking system can be according to the scale of employee directly in work attendance service
Work attendance server, can also be connected, beyond the clouds the enterprising pedestrian of server by the enterprising pedestrian's face work attendance identification of device with cloud server
Face work attendance identifies.View data is sent to the cloud server by i.e. described work attendance server, and the cloud server is by institute
State view data and contrasted with the human face image information being pre-stored in the cloud server to complete face work attendance identification.
Face work attendance identification is carried out by cloud server and particularly may be divided into two kinds of situations, one kind is the work attendance server
Three-dimensional tensor data are sent to cloud server, the cloud server is directly by the three-dimensional tensor data received with prestoring
The view data in server is compared to complete face work attendance identification beyond the clouds.Another kind is the work attendance server by three-dimensional
Tensor data are sent to cloud server, the cloud server by three-dimensional tensor data convert into facial image, and by face
Image is compared with the facial image being pre-stored in cloud server to complete face work attendance identification.Specifically can be according to the actual requirements
Selection.
The attendance application software is used to facial image being converted into three-dimensional tensor data, and passes through data compression model pair
Three-dimensional tensor data are compressed to obtain compressed data.The data compression model is,
Wherein, T* is the three-dimensional tensor data of facial image conversion,（X_1, X_2,…,X_n）For the n same dimension randomly generated
Gauss tensor,<T*, X_i>For T* and one of Gauss tensor X_i inner product, e_i is that the generation in transmission every time misses
Difference, (y_1, y_2 ..y_n) are the compressed data that work attendance server receives.
It is by data compression modelCan be minimum into capacity by Compressed Facial Image
Data, data capacity be original image 1/3 power, for example, protoplast's face image capacity is 1000k, the packet after compression is only
10k。
Data compression model can form each facial image one group of compressed data, and the attendance application software can be with
Multigroup compressed data that multiple facial images of same work attendance person are formed is transmitted to the work attendance server, due to passing through
Face image data capacity after data compression model compression is minimum, and therefore, multiple facial images of a work attendance person form number
It is also very small according to compression inclusion quantity, so as to can simultaneous transmission multiple work attendance persons between the mobile phone and the work attendance server
Compressed Facial Image bag.
Assuming that in the case of the factor identical such as bandwidth, same period, the data between mobile phone and work attendance server pass
Defeated capacity is 10000k, and protoplast's face image capacity is 1000k, is 10k by the packet after data compression model compression, one
Work attendance person needs two facial images.Then in the case where facial image does not compress, the same period, mobile phone and work attendance service
Work attendance person's data transfer number between device is up to 5 people；And if using data compression model, then same time, mobile phone with
Work attendance person's data transfer number between work attendance server can reach 500 people, therefore, by data compression model, greatly improve
The work attendance efficiency of mobile phone terminal dynamic facial identification attendance checking system.
The work attendance server is used to compressed data solution is pressed into three-dimensional tensor data by data recovery model, in work attendance
(y_1, y_2 ..., the y_n) that receives, it is necessary to be reverted to tensor data T* by server.
Three-dimensional tensor data T* in data compression model is decomposed to obtain
, the X_i stated in data compression model is decomposed to obtain, to obtain the decomposing shape of data compression model
Formula,, whereinFor Gauss
Random vector, K are three-dimensional tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is used for
Estimate unknown parameter oneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
Estimate unknown parameter oneWith unknown parameter twoWhen, it is necessary to first inputValue, K value, and
Threshold level.Subsequently into initial step, experience moment tensor is built first, to tensorThreshold decomposition is carried out, to obtain
Initial estimate.Gradient updating step is subsequently entered, is calculated first,
Then calculating is passed throughObtain, wherein,For common threshold function table, and gradient
Renewal step is continuous the step of repeating.
Human face image collecting device is additionally provided with the work attendance server, when staff leaves behind mobile phone or mobile phone
Break down, it is impossible to which when carrying out IMAQ, staff can be directly enterprising in the human face image collecting device of work attendance server
Pedestrian's face image acquiring, or borrow other mobile phones worked together and carry out man face image acquiring to complete work attendance.
The mobile phone also needs to obtain work attendance person's fingerprint or work attendance person's vein pattern or work attendance person's iris or dynamic cipher password
In one or more with mobile phone collection facial images be together sent to the work attendance server.In addition to facial image,
Attendance checking system can also increase one or more other identification methods to improve the accuracy rate of attendance checking system and work attendance efficiency.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the design of the present invention
It is defined with scope.On the premise of design concept of the present invention is not departed from, technical side of the ordinary people in the field to the present invention
The all variations and modifications that case is made, all should drop into protection scope of the present invention, the claimed technology contents of the present invention,
Through all recording in detail in the claims.
Claims (10)
1. mobile phone terminal dynamic facial identifies attendance checking system, it is characterised in that：Including mobile phone and work attendance server, the work attendance service
Device is provided with work attendance scope, the mobile phone in the range of the work attendance with the work attendance server wireless connection；
The mobile phone includes being used for mobile phone camera and installation and operation the examining on the mobile phone for gathering work attendance person's facial image
The facial image collected is converted into being sent to the work attendance clothes after view data by diligent application software, the attendance application software
Business device；
The work attendance server receives described image data, and by described image data and is pre-stored in the work attendance server
View data is contrasted to complete face work attendance identification；
Or the work attendance server is connected with cloud server, view data is sent to the high in the clouds by the work attendance server
Server, the cloud server do described image data and the human face image information that is pre-stored in the cloud server pair
Than being identified with completing face work attendance；
Wherein, the facial image of mobile phone camera collection is at least two.
2. mobile phone terminal dynamic facial according to claim 1 identifies attendance checking system, it is characterised in that：The attendance application is soft
Part is used to facial image being converted into three-dimensional tensor data, and by data compression model three-dimensional tensor data are compressed with
Obtain compressed data；
The work attendance server is used to compressed data solution is pressed into three-dimensional tensor data by data recovery model, and three-dimensional is opened
Amount data and the view data being pre-stored in the work attendance server are contrasted to complete face work attendance identification.
3. mobile phone terminal dynamic facial according to claim 2 identifies attendance checking system, it is characterised in that：The data compression mould
Type is, wherein, T* is the three-dimensional tensor data of facial image conversion,（X_1, X_
2,…,X_n）For the Gauss tensor of the n same dimension randomly generated,<T*, X_i>For T* and one of Gauss tensor X_i
Inner product, e_i is the generation error in transmission every time, and (y_1, y_2 ..y_n) is the compressed data that receives of work attendance server.
4. mobile phone terminal dynamic facial according to claim 3 identifies attendance checking system, it is characterised in that：By data compression model
In three-dimensional tensor data T* decompose to obtain, data compression will be stated
X_i in model decomposes to obtain, to obtain the decomposed form of data compression model,
, whereinFor Gauss with
Machine vector, K are three-dimensional tensor data T* decomposition number,For unknown parameter one,For unknown parameter two；
The data recovery model is, the data recovery model is for estimating
Calculate unknown parameter oneWith unknown parameter two, so as to obtain the three-dimensional tensor data T* of facial image.
5. mobile phone terminal dynamic facial according to claim 2 identifies attendance checking system, it is characterised in that：The work attendance server
Three-dimensional tensor data are sent to cloud server, the cloud server is directly by the three-dimensional tensor data received with prestoring
The view data in server is compared to complete face work attendance identification beyond the clouds.
6. mobile phone terminal dynamic facial according to claim 2 identifies attendance checking system, it is characterised in that：The work attendance server
Three-dimensional tensor data are sent to cloud server, the cloud server by three-dimensional tensor data convert into facial image, and
Facial image and the facial image being pre-stored in cloud server are compared to complete face work attendance identification.
7. mobile phone terminal dynamic facial according to claim 2 identifies attendance checking system, it is characterised in that：Each facial image
Form one group of compressed data, multigroup compressed data that the attendance application software forms multiple facial images of same work attendance person
Transmit to the work attendance server, between the mobile phone and the work attendance server can the multiple work attendance persons of simultaneous transmission people
Face image compressed package.
8. mobile phone terminal dynamic facial according to claim 1 identifies attendance checking system, it is characterised in that：The attendance application is soft
Part is connected with the mobile phone camera, and the attendance application software includes image comparison unit, and described image comparison unit is used for
Two facial images of mobile phone camera continuous acquisition are contrasted to ensure that the facial image of continuous acquisition differs.
9. mobile phone terminal dynamic facial according to claim 1 identifies attendance checking system, it is characterised in that：The work attendance server
On be additionally provided with human face image collecting device.
10. mobile phone terminal dynamic facial according to claim 1 identifies attendance checking system, it is characterised in that：The mobile phone also needs
Obtain work attendance person's fingerprint or work attendance person's vein pattern or one or more and mobile phone in work attendance person's iris or dynamic cipher password
The facial image of collection is together sent to the work attendance server.
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| CN201710482247.5A CN107403476A (en) | 2017-06-22 | 2017-06-22 | Mobile phone terminal dynamic facial identifies attendance checking system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108428263A (en) * | 2018-05-14 | 2018-08-21 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN108765610A (en) * | 2018-05-14 | 2018-11-06 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN109584396A (en) * | 2018-11-27 | 2019-04-05 | 湛江开发区四洲网络科技有限公司 | Indoor positioning attendance management method and apparatus and indoor positioning Work attendance method and device |
| CN111914637A (en) * | 2020-06-28 | 2020-11-10 | 普瑞达建设有限公司 | Intelligent face recognition integrated management method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130204883A1 (en) * | 2012-02-02 | 2013-08-08 | Microsoft Corporation | Computation of top-k pairwise co-occurrence statistics |
| CN103903310A (en) * | 2014-03-24 | 2014-07-02 | 深圳市威富多媒体有限公司 | Attendance checking method based on mobile communication terminal and device |
| CN203982460U (en) * | 2014-03-24 | 2014-12-03 | 深圳市威富多媒体有限公司 | A kind of high in the clouds attendance checking system based on mobile communication terminal |
| CN105139470A (en) * | 2015-09-30 | 2015-12-09 | 杭州海康威视数字技术股份有限公司 | Checking-in method, device and system based on face recognition |
| CN205563735U (en) * | 2016-04-28 | 2016-09-07 | 熊贤芳 | Student attendance system based on face recognition |
| CN106296112A (en) * | 2016-07-28 | 2017-01-04 | 广州猫眼网络科技有限公司 | Attendance checking system based on recognition of face, method and device thereof |
-
2017
- 2017-06-22 CN CN201710482247.5A patent/CN107403476A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130204883A1 (en) * | 2012-02-02 | 2013-08-08 | Microsoft Corporation | Computation of top-k pairwise co-occurrence statistics |
| CN103903310A (en) * | 2014-03-24 | 2014-07-02 | 深圳市威富多媒体有限公司 | Attendance checking method based on mobile communication terminal and device |
| CN203982460U (en) * | 2014-03-24 | 2014-12-03 | 深圳市威富多媒体有限公司 | A kind of high in the clouds attendance checking system based on mobile communication terminal |
| CN105139470A (en) * | 2015-09-30 | 2015-12-09 | 杭州海康威视数字技术股份有限公司 | Checking-in method, device and system based on face recognition |
| CN205563735U (en) * | 2016-04-28 | 2016-09-07 | 熊贤芳 | Student attendance system based on face recognition |
| CN106296112A (en) * | 2016-07-28 | 2017-01-04 | 广州猫眼网络科技有限公司 | Attendance checking system based on recognition of face, method and device thereof |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108428263A (en) * | 2018-05-14 | 2018-08-21 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN108765610A (en) * | 2018-05-14 | 2018-11-06 | 北京洛斯达数字遥感技术有限公司 | Attendance management method for work transmission line scene |
| CN109584396A (en) * | 2018-11-27 | 2019-04-05 | 湛江开发区四洲网络科技有限公司 | Indoor positioning attendance management method and apparatus and indoor positioning Work attendance method and device |
| CN111914637A (en) * | 2020-06-28 | 2020-11-10 | 普瑞达建设有限公司 | Intelligent face recognition integrated management method and system |
| CN111914637B (en) * | 2020-06-28 | 2021-05-04 | 普瑞达建设有限公司 | Intelligent face recognition integrated management method and system |
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