CN110047162A - A kind of Work attendance method and system based on recognition of face - Google Patents

A kind of Work attendance method and system based on recognition of face Download PDF

Info

Publication number
CN110047162A
CN110047162A CN201910269320.XA CN201910269320A CN110047162A CN 110047162 A CN110047162 A CN 110047162A CN 201910269320 A CN201910269320 A CN 201910269320A CN 110047162 A CN110047162 A CN 110047162A
Authority
CN
China
Prior art keywords
personnel
destination
characteristic image
facial information
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910269320.XA
Other languages
Chinese (zh)
Inventor
徐超峰
洪日昌
汪宏春
崔锦瑞
张永奈
姚兰波
吴松
周浩
周宜开
冯海清
陈浩
杨军
汪萌
刘秀敏
刘承志
刘学亮
胡昌师
李�杰
赵思琦
疏胜男
赵望成
张永识
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Bo Nuosi Information Technology Co Ltd
Original Assignee
Anhui Bo Nuosi Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Bo Nuosi Information Technology Co Ltd filed Critical Anhui Bo Nuosi Information Technology Co Ltd
Priority to CN201910269320.XA priority Critical patent/CN110047162A/en
Publication of CN110047162A publication Critical patent/CN110047162A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C1/00Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/10Registering, 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Collating Specific Patterns (AREA)
  • Time Recorders, Dirve Recorders, Access Control (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of Work attendance method and system based on recognition of face of the invention, obtains the facial information feature of personnel;The personnel's facial information characteristic image obtained is uploaded to upstream data processing platform (DPP);The personnel's facial information characteristic image uploaded is received, local data base is called, comparing the personnel's facial information characteristic image currently uploaded whether there is in local data base;If the personnel's facial information characteristic image currently uploaded is present in local data base, prompt to be matched to personnel's facial information characteristic image, and record matching personnel's facial information characteristic image Time To Event;If the personnel's facial information characteristic image currently uploaded prompts not to be matched to characteristic image not in local data base.A kind of Work attendance method and system based on recognition of face of the invention, face recognition process based on duration, real-time update and the attendance record for recording personnel in effective time, avoid the attendance time inaccuracy or imperfect of personnel, while also avoiding the malfeasance of some of the staff's allograph.

Description

A kind of Work attendance method and system based on recognition of face
Technical field
The present invention relates to intelligent Checking on Work Attendance fields, and in particular to a kind of Work attendance method and system based on recognition of face.
Background technique
The society of high speed development is all coped with the rapid development of science and technology development, more and more enterprises along with being constantly progressive for society It will do it reform and innovation, for example reinforce the Work attendance management system of enterprises.
In existing Work attendance management system it is mostly be identified with papery, fingerprint and ID card based on, but there are still following problems:
The defects of not easy to identify when 1. that there are discriminations is lower for fingerprint recognition, weather is cold;
The identification of 2.ID card, then check card in the presence of generation and employee needed to carry the problems such as certificate is inconvenient always;
3. the papery attendance mode of existing Work attendance management system, mostly disposably registers, is easy to appear the attendance time Inaccuracy and imperfection;
4. there are allograph defects, such as carry out signing in by bluetooth, wifi, wechat mode, it is only necessary to carry this and set It is standby to can be carried out allograph, and during meeting carries out, when the defection of personnel participating in the meeting midway and the equipment that will register are placed on meeting room, System judges it still in meeting room, causes attendance data inaccurate.
Summary of the invention
In view of the above existing problems in the prior art, the present invention provides a kind of Work attendance method based on recognition of face and it is System, by the Work attendance method and system based on recognition of face of proposition, avoids the bring limitation because of fingerprint, ID card attendance, The staff attendance time is also effectively recorded simultaneously, ensure that the accuracy and integrality of data.
The present invention provides a kind of Work attendance methods based on recognition of face, include the following steps:
A. the facial information feature of personnel is obtained;
B. personnel's facial information characteristic image that uploading step a is obtained is to upstream data processing platform (DPP);
C. personnel's facial information characteristic image of upload is received, local data base is called, compares the personnel face currently uploaded Portion's information characteristics image whether there is in local data base;
If the personnel's facial information characteristic image d. currently uploaded is present in local data base, current upload personnel face is obtained The information flow of portion's information characteristics image prompts to be matched to effective personnel's facial information characteristic image, and record matching personnel face Portion's information characteristics image event time of origin;
If the personnel's facial information characteristic image e. currently uploaded in local data base, does not obtain current upload personnel face The information flow of information characteristics image prompts not being matched to effective personnel's facial information characteristic image.
As advanced optimizing for above scheme, the information flow of the current upload personnel facial information characteristic image Downstream network client is crossed to be sent.
As advanced optimizing for above scheme, the upstream data processing platform collector facial information characteristic image Later further include:
It stores and records and be arbitrarily present in the personnel of local data base and show up record;
It stores and records all personnel that show up for being present in local data base.
As advanced optimizing for above scheme, the storage simultaneously records and is arbitrarily present in the personnel of local data base and shows up The step of record includes the following:
F. the activity attendance time started is set as t1, the activity attendance end time is t2
G. the storage time point of any personnel's facial information characteristic image in local data base is obtained;
H. the time point of first time collector's facial information characteristic image is arrived at the destination as t on the day of setting personnel3, when Its time point for leaving destination last time collector's facial information characteristic image is t4
If i. t3≤t1, then personnel state qualification is recorded, and store and record personnel early to time T1=t1-t3;If t3> t1, then it is unqualified to record personnel state, and store and record personnel's lagged time T2=t3-t1
If j. t4> t2, then personnel state qualification is recorded, and store and record personnel and move back time T evening3=t4-t2;If t4≤ t2, then it is unqualified to record personnel state, and store and record personnel and leave early time T4=t2-t4
As advanced optimizing for above scheme, the personnel that the record is arbitrarily present in local data base show up record also Include:
If same day personnel default from arriving at the destination up to not leaving destination in the period for finally leaving destination The time point t of first time collector's facial information characteristic image is arrived at the destination on the day of personnel3Destination was left with the same day The time point t of last time collector's facial information characteristic image4For the attendance time;
If same day personnel obtain from arriving at the destination up to there is the case where leaving destination in the period for leaving destination Personnel are taken to arrive at the destination certainly until finally leaving the duration summation T that personnel in the period of destination leave destination5,;
If 0≤T5< 1h arrives at the destination first time collector's facial information characteristic image on the day of defaulting personnel Time point t3The time point t of destination last time collector's facial information characteristic image was left with the same day4For the attendance time;
If 1h≤T5< 4h, then effective attendance time on the day of any personnel is t4-t3-4h;
If 4h≤T5, then effective attendance time on the day of any personnel is recorded as 0.
As advanced optimizing for above scheme, it is described record it is all be present in local data base show up personnel the step of Include the following:
Step S1 obtains all facial information character image datas of local data base;
Step S2 obtains t1To t2The facial information characteristic image of all any personnel arrived at the destination in period;
Step S3 compares t1To t2The facial information characteristic image Q of any personnel arrived at the destination in period1With this All facial information characteristic image Q of ground database2
Step S4, if Q1=Q2, then same day all personnel is marked to show up;
Step S5, if Q1< Q2, then same day t is marked1To t2It the personnel that are arrived at the destination in period and does not arrive at the destination Personnel.
The present invention also provides a kind of attendance checking systems based on recognition of face, include the following:
Personnel's image capture module, for acquiring the facial feature image for the personnel that arrive at the destination;
Personnel's image comparison module arrives at the destination personnel's facial feature image and local data for acquired the same day Library carries out image analysis and comparison, the personal information arrived at the destination on the day of obtaining;
The attendance time veritifies module, and first time collector's facial information spy of personnel is arrived at the destination for obtaining the same day Levy the time point t of image3, the same day leave the time point t of destination last time collector's facial information characteristic image4And Same day personnel are arrived at the destination certainly until finally leaving the duration summation T that destination is left in midway in the period of destination5
Face-image memory module, for storing presetting total personnel's facial feature image, acquiring arriving for upload daily Up to destination personnel's facial feature image;
Work attendance statistics module, for counting effective attendance time of the personnel and counterpart personnel that arrive at the destination daily, Be also used to count any personnel in presetting total personnel to diligent rate and absence rate.
As advanced optimizing for above scheme, the attendance time veritifies module and arrives specifically for the same day any personnel Time point up to destination first time collector facial information characteristic image is no more than activity attendance time started t1, mark people Member is early to arrive, and is more than activity attendance time started t1, mark personnel late;The same day leaves destination last time collector face The time point t of information characteristics image4Greater than activity attendance end time t2, label personnel move back in evening, at the end of being no more than activity attendance Between t2, labeled as leaving early.
The present invention uses above-mentioned technical solution, compared with prior art, a kind of examining based on recognition of face of the invention Diligent method and system, have following technical effect that
1. a kind of Work attendance method and system based on recognition of face of the invention, obtains the facial information feature of personnel;On The personnel's facial information characteristic image obtained is passed to upstream data processing platform (DPP);Receive the personnel's facial information characteristic pattern uploaded Picture, comparing the personnel's facial information characteristic image currently uploaded whether there is in local data base;If the personnel face currently uploaded Portion's information characteristics image is present in local data base, prompts to be matched to effective personnel's facial information characteristic image, and record With personnel's facial information characteristic image Time To Event;If the personnel's facial information characteristic image currently uploaded is not in local number According to library, prompt not being matched to effective personnel's facial information characteristic image.
2. a kind of Work attendance method and system based on recognition of face of the invention carries out attendance record based on recognition of face, It avoids facilitating user to carry out attendance information record because of the limitation that traditional fingerprint is checked card or ID card is registered.
3. a kind of Work attendance method and system based on recognition of face of the invention, the face recognition process based on duration, Real-time update and the attendance record for recording personnel in effective time avoid the attendance time inaccuracy or imperfect of personnel, simultaneously Also the malfeasance of some of the staff's allograph is avoided.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of Work attendance method and system based on recognition of face of the invention;
Fig. 2 is a kind of another width flow diagram of Work attendance method and system based on recognition of face of the invention;
Fig. 3 is a kind of staff attendance time computing block diagram of Work attendance method and system based on recognition of face of the invention;
Fig. 4 is a kind of attendance demographics schematic diagram of Work attendance method and system based on recognition of face of the invention;
Fig. 5 is a kind of structural block diagram of Work attendance method and system based on recognition of face of the invention.
Specific embodiment
In order to make the objectives, technical solutions and advantages of the present invention clearer, right below by attached drawing and embodiment The present invention is further elaborated.However, it should be understood that specific embodiment described herein is only used to explain this hair Range that is bright, being not intended to restrict the invention.
Embodiment 1
Referring to Fig. 1, a kind of Work attendance method based on recognition of face is present embodiments provided, is included the following steps:
A. the facial information feature of personnel is obtained;
Specifically, can be by having the image data of the equipment collector of image camera function, and personnel's figure As collection process is the process of a sustainability;
More specifically, video camera or camera are set up by the inlet in destination, when movable beginning attendance is set Between and terminate the attendance time, shot within the attendance period all by video camera or personnel's image of camera, pass through feature Extracting method extracts the facial characteristics of shooting personnel image, while on the time point of records photographing personnel's image, by personnel's face Characteristic image and corresponding shooting time point upload are stored to local data base,
B. personnel's facial information characteristic image that uploading step a is obtained is to upstream data processing platform (DPP);
C. personnel's facial information characteristic image of upload is received, local data base is called, compares the personnel face currently uploaded Portion's information characteristics image whether there is in local data base;
If the personnel's facial information characteristic image d. currently uploaded is present in local data base, current upload personnel face is obtained The information flow of portion's information characteristics image prompts to be matched to effective personnel's facial information characteristic image, and record matching personnel face Portion's information characteristics image event time of origin;Preferably, under currently the information flow of upload personnel's facial information characteristic image passes through Trip networking client is sent;
If the personnel's facial information characteristic image e. currently uploaded in local data base, does not obtain current upload personnel face The information flow of information characteristics image prompts not being matched to effective personnel's facial information characteristic image;
Specifically, by the way that host is arranged at video camera, for the information exchange of personnel and upstream data processing platform, when Upstream data processing platform matches completion personnel facial information characteristic image, passes through host voice broadcast or signal lamp prompt person Matching process is completed;If not being matched to personnel's facial information characteristic image, user is prompted not match by host voice broadcast, Need matching operation again;
Referring to fig. 2, after upstream data processing platform collector facial information characteristic image further include:
It stores and records and be arbitrarily present in the personnel of local data base and show up record, step includes the following:
F. the activity attendance time started is set as t1, the activity attendance end time is t2
G. the storage time point of any personnel's facial information characteristic image in local data base is obtained;
H. the time point of first time collector's facial information characteristic image is arrived at the destination as t on the day of setting personnel3, when Its time point for leaving destination last time collector's facial information characteristic image is t4
If i. t3≤t1, then personnel state qualification is recorded, and store and record personnel early to time T1=t1-t3;If t3> t1, then it is unqualified to record personnel state, and store and record personnel's lagged time T2=t3-t1
If j. t4> t2, then personnel state qualification is recorded, and store and record personnel and move back time T evening3=t4-t2;If t4≤ t2, then it is unqualified to record personnel state, and store and record personnel and leave early time T4=t2-t4
Referring to Fig. 3, the personnel that record is arbitrarily present in local data base show up record further include:
If same day personnel default from arriving at the destination up to not leaving destination in the period for finally leaving destination The time point t of first time collector's facial information characteristic image is arrived at the destination on the day of personnel3Destination was left with the same day The time point t of last time collector's facial information characteristic image4For the attendance time;
If same day personnel obtain from arriving at the destination up to there is the case where leaving destination in the period for leaving destination Personnel are taken to arrive at the destination certainly until finally leaving the duration summation T that personnel in the period of destination leave destination5,;
If 0≤T5< 1h arrives at the destination first time collector's facial information characteristic image on the day of defaulting personnel Time point t3The time point t of destination last time collector's facial information characteristic image was left with the same day4For the attendance time;
If 1h≤T5< 4h, then effective attendance time on the day of any personnel is t4-t3-4h;
If 4h≤T5, then effective attendance time on the day of any personnel is recorded as 0;
Referring to fig. 4, store and record it is all be present in local data base show up personnel the step of include the following:
Step S1 obtains all facial information character image datas of local data base;
Step S2 obtains t1To t2The facial information characteristic image of all any personnel arrived at the destination in period;
Step S3 compares t1To t2The facial information characteristic image Q of any personnel arrived at the destination in period1With this All facial information characteristic image Q of ground database2
Step S4, if Q1=Q2, then same day all personnel is marked to show up;
Step S5, if Q1< Q2, then same day t is marked1To t2It the personnel that are arrived at the destination in period and does not arrive at the destination Personnel.
By the above-mentioned Work attendance method based on recognition of face, traditional fingerprint attendance or ID card attendance are got rid of, is based on people Face identification, enhances the accuracy of staff attendance and the integrality of data, and some of the staff is avoided to carry out using attendance checking system loophole The malfeasance of allograph.
As shown in figure 5, the present embodiment additionally provides a kind of attendance checking system based on recognition of face, include the following:
Personnel's image capture module 100, for acquiring the facial feature image for the personnel that arrive at the destination;
Personnel's image comparison module 200 arrives at the destination personnel's facial feature image and local for acquired the same day Database carries out image analysis and comparison, the personal information arrived at the destination on the day of obtaining;
The attendance time veritifies module 400, and first time collector's face letter of personnel is arrived at the destination for obtaining the same day Cease the time point t of characteristic image3, the same day leave the time point t of destination last time collector's facial information characteristic image4 And same day personnel are arrived at the destination certainly until finally leaving the duration summation that destination is left in midway in the period of destination T5
Face-image memory module 300, for storing, presetting total personnel's facial feature image, acquisition is uploaded daily Arrive at the destination personnel's facial feature image;
Work attendance statistics module 500, when for counting effective attendance of the personnel and counterpart personnel that arrive at the destination daily Between, be also used to count any personnel in presetting total personnel to diligent rate and absence rate.
Specifically, the attendance time, which veritifies module 400, arrives at the destination acquisition people for the first time specifically for the same day any personnel The time point of member's facial information characteristic image is no more than activity attendance time started t1, it is more than activity attendance that label personnel, which early arrive, Time started t1, mark personnel late;The same day leaves the time of destination last time collector's facial information characteristic image Point t4Greater than activity attendance end time t2, label personnel move back in evening, no more than activity attendance end time t2, labeled as leaving early.
A kind of Work attendance method and system based on recognition of face of the invention, obtains the facial information feature of personnel;It uploads Personnel's facial information characteristic image of acquisition is to upstream data processing platform (DPP);The personnel's facial information characteristic image uploaded is received, Local data base is called, comparing the personnel's facial information characteristic image currently uploaded whether there is in local data base;If current Personnel's facial information characteristic image of upload is present in local data base, obtains current upload personnel's facial information characteristic image Information flow prompts to be matched to effective personnel's facial information characteristic image, and record matching personnel's facial information characteristic image thing Part time of origin;If the personnel's facial information characteristic image currently uploaded in local data base, does not obtain current upload personnel face The information flow of portion's information characteristics image prompts not being matched to effective personnel's facial information characteristic image.One kind of the invention is based on The Work attendance method and system of recognition of face, the face recognition process based on duration, real-time update simultaneously record people in effective time The attendance record of member, avoids the attendance time inaccuracy or imperfect of personnel, while also avoiding the illegal row of some of the staff's allograph For.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art The other embodiments being understood that.

Claims (9)

1. a kind of Work attendance method based on recognition of face, which comprises the steps of:
A. the facial information feature of personnel is obtained;
B. personnel's facial information characteristic image that uploading step a is obtained is to upstream data processing platform (DPP);
C. personnel's facial information characteristic image of upload is received, local data base is called, compares the personnel's face letter currently uploaded Ceasing characteristic image whether there is in local data base;
If the personnel's facial information characteristic image d. currently uploaded is present in local data base, obtains the current personnel's face that uploads and believe The information flow of characteristic image is ceased, prompts to be matched to effective personnel's facial information characteristic image, and record matching personnel's face is believed Cease characteristic image Time To Event;
If the personnel's facial information characteristic image e. currently uploaded in local data base, does not obtain current upload personnel's facial information The information flow of characteristic image prompts not being matched to effective personnel's facial information characteristic image.
2. a kind of Work attendance method based on recognition of face according to claim 1, which is characterized in that the current upload The information flow of personnel's facial information characteristic image is sent by downstream network client.
3. a kind of Work attendance method based on recognition of face according to claim 1, which is characterized in that at the upstream data After platform collector's facial information characteristic image further include:
It stores and records and be arbitrarily present in the personnel of local data base and show up record;
It stores and records all personnel that show up for being present in local data base.
4. a kind of Work attendance method based on recognition of face according to claim 3, which is characterized in that the storage simultaneously records Personnel's the step of the recording of showing up for being arbitrarily present in local data base include the following:
F. the activity attendance time started is set as t1, the activity attendance end time is t2
G. the storage time point of any personnel's facial information characteristic image in local data base is obtained;
H. the time point of first time collector's facial information characteristic image is arrived at the destination as t on the day of setting personnel3, the same day from The time point for opening destination last time collector's facial information characteristic image is t4
If i. t3≤t1, then personnel state qualification is recorded, and store and record personnel early to time T1=t1-t3;If t3> t1, then It is unqualified to record personnel state, and stores and records personnel's lagged time T2=t3-t1
If j. t4> t2, then personnel state qualification is recorded, and store and record personnel and move back time T evening3=t4-t2;If t4≤t2, then It is unqualified to record personnel state, and stores and records personnel and leave early time T4=t2-t4
5. a kind of Work attendance method based on recognition of face according to claim 4, which is characterized in that the record is arbitrarily deposited It is that the personnel of local data base show up record further include:
If same day personnel default personnel from arriving at the destination up to not leaving destination in the period for finally leaving destination The same day arrive at the destination the time point t of first time collector's facial information characteristic image3It is last that destination was left with the same day The time point t of one acquisition personnel's facial information characteristic image4For the attendance time;
If same day personnel obtain people from arriving at the destination up to there is the case where leaving destination in the period for leaving destination Member is arrived at the destination certainly until finally leaving the duration summation T that personnel in the period of destination leave destination5,;
If 0≤T5< 1h arrives at the destination the time point of first time collector's facial information characteristic image on the day of defaulting personnel t3The time point t of destination last time collector's facial information characteristic image was left with the same day4For the attendance time;
If 1h≤T5≤ 4h, then effective attendance time on the day of any personnel be
If 4h≤T5, then effective attendance time on the day of any personnel is recorded as 0.
6. according to a kind of Work attendance method based on recognition of face as claimed in claim 3 to 5, which is characterized in that the record It is all be present in local data base show up personnel the step of include the following:
Step S1 obtains all facial information character image datas of local data base;
Step S2 obtains t1To t2The facial information characteristic image of all any personnel arrived at the destination in period;
Step S3 compares t1To t2The facial information characteristic image Q of any personnel arrived at the destination in period1With local number According to all facial information characteristic image Q in library2
Step S4, if Q1=Q2, then same day all personnel is marked to show up;
Step S5, if Q1< Q2, then same day t is marked1To t2The personnel arrived at the destination in period and the people not arrived at the destination Member.
7. a kind of attendance checking system based on recognition of face, which is characterized in that include the following:
Personnel's image capture module, for acquiring the facial feature image for the personnel that arrive at the destination;
Personnel's image comparison module, for by the same day acquire arrive at the destination personnel's facial feature image and local data base into Row image analysis and comparison, the personal information arrived at the destination on the day of obtaining;
The attendance time veritifies module, and first time collector's facial information characteristic pattern of personnel is arrived at the destination for obtaining the same day The time point t of picture3, the same day leave the time point t of destination last time collector's facial information characteristic image4And the same day Personnel are arrived at the destination certainly until finally leaving the duration summation T that destination is left in midway in the period of destination5
Face-image memory module, the arrival mesh for storing presetting total personnel's facial feature image, acquisition uploads daily Ground personnel's facial feature image.
8. a kind of attendance checking system based on recognition of face according to claim 7, which is characterized in that further include work attendance statistics Module, the work attendance statistics module are used to count effective attendance time of the personnel and counterpart personnel arrived at the destination daily, Be also used to count any personnel in presetting total personnel to diligent rate and absence rate.
9. a kind of attendance checking system based on recognition of face according to claim 7, which is characterized in that the attendance time It veritifies module and is specifically used for the time point that the same day any personnel arrive at the destination first time collector's facial information characteristic image No more than activity attendance time started t1, it is more than activity attendance time started t that label personnel, which early arrive,1, mark personnel late;The same day Leave the time point t of destination last time collector's facial information characteristic image4Greater than activity attendance end time t2, mark Note personnel move back in evening, are no more than activity attendance end time t2, labeled as leaving early.
CN201910269320.XA 2019-04-04 2019-04-04 A kind of Work attendance method and system based on recognition of face Pending CN110047162A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910269320.XA CN110047162A (en) 2019-04-04 2019-04-04 A kind of Work attendance method and system based on recognition of face

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910269320.XA CN110047162A (en) 2019-04-04 2019-04-04 A kind of Work attendance method and system based on recognition of face

Publications (1)

Publication Number Publication Date
CN110047162A true CN110047162A (en) 2019-07-23

Family

ID=67276127

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910269320.XA Pending CN110047162A (en) 2019-04-04 2019-04-04 A kind of Work attendance method and system based on recognition of face

Country Status (1)

Country Link
CN (1) CN110047162A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111126826A (en) * 2019-12-19 2020-05-08 贵州惠智电子技术有限责任公司 Conference management platform based on government affair work

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090097720A1 (en) * 2001-03-14 2009-04-16 Paladin Electronic Services, Inc. Biometric identification method
CN104200536A (en) * 2014-09-09 2014-12-10 青岛亿联信息科技有限公司 Attendance-checking system and attendance-checking method based on wechat platform
CN105654568A (en) * 2016-01-29 2016-06-08 重庆邮电大学 Automatic attendance checking method and system based on WI-FI
CN106157000A (en) * 2016-08-01 2016-11-23 深圳市绿清物业发展有限公司 A kind of Staffing System
CN106652070A (en) * 2016-11-22 2017-05-10 浙江德福精密驱动制造有限公司 Attendance record device
CN106710020A (en) * 2016-12-05 2017-05-24 广州日滨科技发展有限公司 Intelligent attendance checking method and system
CN106780814A (en) * 2016-12-27 2017-05-31 浙江海洋大学 A kind of whole-process automatic attendance checking system used in classroom
CN107016745A (en) * 2017-06-01 2017-08-04 郑州云海信息技术有限公司 A kind of attendance checking system and Work attendance method based on cloud computing
CN108876276A (en) * 2017-06-02 2018-11-23 北京旷视科技有限公司 Automatic Work attendance method and device based on recognition of face
CN109377575A (en) * 2018-08-14 2019-02-22 广德县方飞智能设备科技有限公司 A kind of management control method and system of automatic acquisition employee working attendance information

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090097720A1 (en) * 2001-03-14 2009-04-16 Paladin Electronic Services, Inc. Biometric identification method
CN104200536A (en) * 2014-09-09 2014-12-10 青岛亿联信息科技有限公司 Attendance-checking system and attendance-checking method based on wechat platform
CN105654568A (en) * 2016-01-29 2016-06-08 重庆邮电大学 Automatic attendance checking method and system based on WI-FI
CN106157000A (en) * 2016-08-01 2016-11-23 深圳市绿清物业发展有限公司 A kind of Staffing System
CN106652070A (en) * 2016-11-22 2017-05-10 浙江德福精密驱动制造有限公司 Attendance record device
CN106710020A (en) * 2016-12-05 2017-05-24 广州日滨科技发展有限公司 Intelligent attendance checking method and system
CN106780814A (en) * 2016-12-27 2017-05-31 浙江海洋大学 A kind of whole-process automatic attendance checking system used in classroom
CN107016745A (en) * 2017-06-01 2017-08-04 郑州云海信息技术有限公司 A kind of attendance checking system and Work attendance method based on cloud computing
CN108876276A (en) * 2017-06-02 2018-11-23 北京旷视科技有限公司 Automatic Work attendance method and device based on recognition of face
CN109377575A (en) * 2018-08-14 2019-02-22 广德县方飞智能设备科技有限公司 A kind of management control method and system of automatic acquisition employee working attendance information

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111126826A (en) * 2019-12-19 2020-05-08 贵州惠智电子技术有限责任公司 Conference management platform based on government affair work

Similar Documents

Publication Publication Date Title
CN106709424B (en) Optimized monitoring video storage system
KR102177235B1 (en) An attendance check system using deep learning based face recognition
CN107507289A (en) A kind of mobile terminal human face identification work-attendance checking method and system
CN106710020B (en) Intelligent Checking on Work Attendance method and system
CN108090772A (en) Hotel occupancy brush face payment system and method based on recognition of face
CN110288306A (en) Conferencing information acquisition methods, device, computer equipment and storage medium
CN109255537A (en) A kind of labour discipline attendance management method and system
CN112199530B (en) Multi-dimensional face library picture automatic updating method, system, equipment and medium
CN110189111A (en) Work attendance method and device
CN112016731B (en) Queuing time prediction method and device and electronic equipment
CN103609098B (en) Method and apparatus for being registered in telepresence system
CN109903410A (en) Roll-call based on recognition of face is registered method, apparatus, equipment and storage medium
CN110047162A (en) A kind of Work attendance method and system based on recognition of face
CN109767196A (en) A kind of intelligent attendance system
CN109345427A (en) The classroom video point of a kind of combination recognition of face and pedestrian&#39;s identification technology is to method
JP3655165B2 (en) Business card exchange device, business card exchange method, and recording medium
CN108197599A (en) A kind of face identification system
CN112950801B (en) Remote office attendance recording method and device
CN110969713A (en) Attendance statistics method, device and system and readable storage medium
CN109492626A (en) A kind of noninductive face case field management method and its system
CN110866418A (en) Image base generation method, device, equipment, system and storage medium
CN113591619A (en) Face recognition verification device based on video and verification method thereof
CN106547818B (en) Checking-in result verification method and device
CN110033526A (en) One kind acting on construction site attendance checking system, method and device
Vignesh et al. Smart attendance system using deep learning

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190723