CN109635741A - A kind of recognition of face big data management system - Google Patents
A kind of recognition of face big data management system Download PDFInfo
- Publication number
- CN109635741A CN109635741A CN201811527786.7A CN201811527786A CN109635741A CN 109635741 A CN109635741 A CN 109635741A CN 201811527786 A CN201811527786 A CN 201811527786A CN 109635741 A CN109635741 A CN 109635741A
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- China
- Prior art keywords
- module
- image information
- personnel
- archives
- gate inhibition
- Prior art date
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- 238000013523 data management Methods 0.000 title claims abstract description 17
- 238000007726 management method Methods 0.000 claims abstract description 44
- 230000005764 inhibitory process Effects 0.000 claims abstract description 38
- 238000000034 method Methods 0.000 claims description 10
- 230000001815 facial effect Effects 0.000 claims description 7
- 238000004321 preservation Methods 0.000 claims 1
- 238000010276 construction Methods 0.000 abstract description 8
- 230000007812 deficiency Effects 0.000 abstract description 3
- 238000013461 design Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 2
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- 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
- G06V40/172—Classification, e.g. identification
-
- 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
-
- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/20—Individual registration on entry or exit involving the use of a pass
- G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
- G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
Abstract
The present invention relates to technical field of face recognition, provide a kind of recognition of face big data management system, the system includes check card end, management end and gate inhibition end, after the face of the end scanning disengaging personnel that check card, acquisition human face image information is simultaneously sent to management end, and the management end matches the human face image information received with the image information in archives, if with Employee Profile successful match, door open command is then issued to gate inhibition end, the gate inhibition end, which is opened the door, allows the personnel to enter；If with blacklist archives successful match, then issuing forbids instruction to gate inhibition end, the personnel are forbidden to enter in the gate inhibition end, the present invention overcomes the deficiencies in the prior art, design rationally, more convenient can accurately manage employee, record staff attendance, and construction site is passed in and out for strange personnel and is reminded in time, and the entrance of criminal and non-construction personnel can be forbidden.
Description
Technical field
The present invention relates to technical field of face recognition, specially a kind of recognition of face big data management system.
Background technique
With the development of science and technology, more and more fields apply face recognition technology, in construction site, usual personnel are multiple
It is miscellaneous, and enter and leave frequently, and existing technology be using brush employee job card by the way of come manage employee disengaging with attendance situation, once have
When stranger or criminal use employee job card, it is not easy to it identifies, and be easy to cause security risk, it is therefore, how more square
Just manage employee, more accurately record staff attendance, and the strange personnel of control and criminal enter construction site at
A urgent problem needed to be solved.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, it the present invention provides a kind of recognition of face big data management system, overcomes existing
The deficiency of technology, design rationally, more convenient can accurately manage employee, record staff attendance, and for strange personnel into
Construction site is reminded in time out, and can forbid the entrance of criminal and non-construction personnel.
(2) technical solution
In order to achieve the above object, the present invention is achieved by the following technical programs:
A kind of recognition of face big data management system, the system include check card end, management end and gate inhibition end；The end of checking card
After the face for scanning disengaging personnel, acquires human face image information and be sent to management end, the face that the management end will receive
Image information is matched with the image information in archives, if issuing door open command to gate inhibition with Employee Profile successful match
End, the gate inhibition end, which is opened the door, allows the personnel to enter；If sending is forbidden instructing to gate inhibition end with blacklist archives successful match,
The personnel are forbidden to enter in the gate inhibition end；The end of checking card for carrying out human face scanning to disengaging personnel, and acquires facial image
Information；The management end, for being matched to collected human face image information, thus identify disengaging personnel whether the person of being
Work is registered the disengaging time of employee, and is distinguished strange personnel and personnel out-of-bounds, judges whether to allow in it enters；
The gate inhibition end, the enabling for receiver management terminal or instruction of closing the door, controllers disengaging.
Preferably, the end of checking card includes human face scanning module, image capture module and information sending module；The face
After scan module scanning to face information, by image capture module, facial image is collected, then send out by information sending module
It is sent to management end.
Preferably, the management end includes data input module, module for managing files, information receiving module, instruction transmission
Module, images match module, alarm module, disabled module and sweep time automatic input module；The data input module is used
It is entered into Employee Profile in by the details of employee, including name, photo work number, contact method and address；The archives
Management module, for saving employee, stranger and the information of blacklist；The information receiving module, for receiving end of checking card
The human face image information of transmission；Described instruction sending module, for sending the instruction opened the door or closed the door to gate inhibition end；Described image
Matching module, for matching the image information saved in the human face image information received and module for managing files；Institute
Alarm module is stated, for when the mismatch in the human face image information and Employee Profile received, automatic alarm to remind work
Personnel；The disabled module, for passing through when the information in the human face image information and blacklist archives received matches
Instruction sending module is sent to gate inhibition end forbids door open command；The sweep time automatic input module, for people will to be received
The time automatic input of face image information is into module for managing files.
Preferably, the module for managing files includes Employee Profile, stranger's archives and blacklist archives；Employee's shelves
Case, for saving employee's details Jing Guo the typing of data input module；Stranger's archives, for as the people received
When face image information and Employee Profile, blacklist archives mismatch, which is saved；The blacklist shelves
Case, for saving personnel's details out-of-bounds.
Preferably, the information saved in stranger's archives can be transferred in blacklist archives.
Preferably, the image information in the module for managing files can be according to the increase of collected human face image information
Real-time update.
Preferably, the gate inhibition end includes command reception module, door opening module and shutdown module；Described instruction receives mould
Block, the instruction of the enabling or shutdown that are sent for receiver management terminal；The door opening module receives management end sending for working as
When door open command, enabling allows the personnel to enter；The shutdown module, for when receive management end sending shutdown instruction when,
It closes the door or ensures door in the state of closing, the personnel is forbidden to enter.
(3) beneficial effect
The embodiment of the invention provides a kind of recognition of face big data management system, have it is following the utility model has the advantages that
(1) present invention is scanned personnel's face of disengaging, is adopted via image capture module by human face scanning module
Collect human face image information, can accurately capture facial image, then be sent to the archives of management end by information sending module
It is matched in management module, while can facilitate attendance with the disengaging time of typing employee, may recognize that stranger
Member and personnel out-of-bounds, have ensured Employee Security, reduce criminal and enter interior hidden danger.
(2) present invention establishes Employee Profile, stranger's archives and blacklist archives, Ke Yiyou by module for managing files
It identifies staff and non-working person to effect, reduces the entrance of nonnative personnel, enhance your vigilance to strange personnel, to blacklist
People in archives takes measure out-of-bounds in time, has ensured the safety of construction site construction.
(3) present invention is by sweep time automatic input module, the temporally precise typing archives that personnel can be passed in and out
In management module, facilitates the later period to transfer and check and the attendance situation of accurate recording employee.
(4) by alarm module, when strange personnel and personnel out-of-bounds occur, entrance guard personnel can be reminded in time
It maintains vigilance, avoids the occurrence of security risk and confusion.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
The structural schematic diagram of recognition of face big data management system during Fig. 1 is of the present invention；
The structural schematic diagram at the end of checking card during Fig. 2 is of the present invention；
The structural schematic diagram of management end during Fig. 3 is of the present invention；
The structural schematic diagram at the gate inhibition end during Fig. 4 is of the present invention；
The flow diagram of recognition of face big data management system during Fig. 5 is of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
A kind of recognition of face big data management system, the system include check card end, management end and gate inhibition end；The end of checking card
After the face for scanning disengaging personnel, acquires human face image information and be sent to management end, the face that the management end will receive
Image information is matched with the image information in archives, if issuing door open command to gate inhibition with Employee Profile successful match
End, the gate inhibition end, which is opened the door, allows the personnel to enter；If sending is forbidden instructing to gate inhibition end with blacklist archives successful match,
The personnel are forbidden to enter in the gate inhibition end；The end of checking card for carrying out human face scanning to disengaging personnel, and acquires facial image
Information；The management end, for being matched to collected human face image information, thus identify disengaging personnel whether the person of being
Work is registered the disengaging time of employee, and is distinguished strange personnel and personnel out-of-bounds, judges whether to allow in it enters；
The gate inhibition end, the enabling for receiver management terminal or instruction of closing the door, controllers disengaging.
The end of checking card includes human face scanning module, image capture module and information sending module；The human face scanning mould
After block scan to face information, by image capture module, facial image is collected, then pipe is sent to by information sending module
Manage end.
The management end includes data input module, module for managing files, information receiving module, instruction sending module, figure
As matching module, alarm module, disabled module and sweep time automatic input module；The data input module is used for member
The details of work, including name, photo work number, contact method and address are entered into Employee Profile；The file administration mould
Block, for saving employee, stranger and the information of blacklist；The module for managing files includes Employee Profile, stranger's shelves
Case and blacklist archives；The Employee Profile, for saving employee's details Jing Guo the typing of data input module；The footpath between fields
Stranger's archives, for when the human face image information that receives and Employee Profile, blacklist archives mismatch, by the facial image
Information is saved；The blacklist archives, for saving personnel's details out-of-bounds；It is protected in stranger's archives
The information deposited can be transferred in blacklist archives；Image information in the module for managing files can be according to collected face
The increase real-time update of image information；The information receiving module, the human face image information sent for receiving end of checking card；It is described
Instruction sending module, for sending the instruction opened the door or closed the door to gate inhibition end；Described image matching module, for what will be received
The image information saved in human face image information and module for managing files is matched；The alarm module is received for working as
Human face image information and Employee Profile in mismatch when, automatic alarm remind staff；The disabled module, for working as
When the information in human face image information and blacklist archives received matches, sent by instruction sending module to gate inhibition end
Forbid door open command；The sweep time automatic input module, for the time automatic input of human face image information will to be received
Into module for managing files.
The gate inhibition end includes command reception module, door opening module and shutdown module；Described instruction receiving module, for connecing
Receive the instruction of enabling or shutdown that management end is sent；The door opening module, for when the door open command for receiving management end sending
When, enabling allows the personnel to enter；The shutdown module, for closing the door when receiving the shutdown instruction of management end sending or really
Bao Men forbids the personnel to enter in the state of closing.
The work step of the system is as follows:
S101, the management end establish Employee Profile by way of data input；
S102, the management end establish blacklist archives by way of stranger's archives or data input；
S201, described check card hold automatically scanning face, after the image information of acquisition face, send it to management end；
After S301, the management end receive human face image information, with the image information in Employee Profile and blacklist archives
It is matched；
S401, when the image information in the image information and Employee Profile received matches, the management end is automatic
The human face scanning time of the personnel is recorded, and saves and is sent to gate inhibition end into corresponding Employee Profile, while by door open command；
S402, when the image information in the image information that receives and Employee Profile and blacklist archives mismatches, institute
Management end starting alarm module is stated, and is saved in stranger's archives, while door open command is sent to gate inhibition end；
S403, when the image in the image information that receives and blacklist archives matches, the management end starting report
Alert module, while door open command will be forbidden to be sent to gate inhibition end；
S501, the gate inhibition end receive door open command, and enabling allows the personnel to enter；
S502, the gate inhibition end, which receive, forbids door open command, and the personnel is forbidden to enter.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (7)
1. a kind of recognition of face big data management system, it is characterised in that: the system includes check card end, management end and gate inhibition end；
After the face of the end scanning disengaging personnel that check card, acquires human face image information and be sent to management end, the management end will connect
The human face image information received is matched with the image information in archives, if issuing enabling with Employee Profile successful match
To gate inhibition end, the gate inhibition end, which is opened the door, allows the personnel to enter for instruction；If sending is forbidden instructing with blacklist archives successful match
To gate inhibition end, the gate inhibition end forbids the personnel to enter；
The end of checking card for carrying out human face scanning to disengaging personnel, and acquires human face image information；
The management end, for being matched to collected human face image information, thus identify whether disengaging personnel are employee,
The disengaging time for registering employee, and strange personnel and personnel out-of-bounds are distinguished, is judged whether to allow in it enters；
The gate inhibition end, the enabling for receiver management terminal or instruction of closing the door, controllers disengaging.
2. a kind of recognition of face big data management system as described in claim 1, it is characterised in that: the end of checking card includes people
Face scan module, image capture module and information sending module；
After the human face scanning module scans to face information, by image capture module, facial image is collected, then pass through letter
Breath sending module is sent to management end.
3. a kind of recognition of face big data management system as described in claim 1, it is characterised in that: the management end includes letter
Breath recording module, information receiving module, instruction sending module, images match module, alarm module, is forbidden at module for managing files
Module and sweep time automatic input module；
The data input module, for recording the details of employee, including name, photo work number, contact method and address
Enter into Employee Profile；
The module for managing files, for saving employee, stranger and the information of blacklist；
The information receiving module, the human face image information sent for receiving end of checking card；
Described instruction sending module, for sending the instruction opened the door or closed the door to gate inhibition end；
Described image matching module, for by the human face image information received and the image information saved in module for managing files
It is matched；
The alarm module, for when the mismatch in the human face image information and Employee Profile received, automatic alarm to be mentioned
Wake up entrance guard personnel；
The disabled module, for passing through when the information in the human face image information and blacklist archives received matches
Instruction sending module is sent to gate inhibition end forbids door open command；
The sweep time automatic input module, for the time automatic input of human face image information will to be received to file administration
In module.
4. a kind of recognition of face big data management system as claimed in claim 3, it is characterised in that: the module for managing files
Including Employee Profile, stranger's archives and blacklist archives；
The Employee Profile, for saving employee's details Jing Guo the typing of data input module；
Stranger's archives, for inciting somebody to action when the human face image information received is mismatched with Employee Profile, blacklist archives
The human face image information is saved；
The blacklist archives, for saving personnel's details out-of-bounds.
5. a kind of recognition of face big data management system as claimed in claim 4, it is characterised in that: in stranger's archives
The information of preservation can be transferred in blacklist archives.
6. a kind of recognition of face big data management system as claimed in claim 4, it is characterised in that: the module for managing files
In image information can be according to the increase real-time update of collected human face image information.
7. a kind of recognition of face big data management system as described in claim 1, it is characterised in that: the gate inhibition end includes referring to
Enable receiving module, door opening module and shutdown module；
Described instruction receiving module, the instruction of the enabling or shutdown that are sent for receiver management terminal；
The door opening module, for when receiving the door open command of management end sending, enabling to allow the personnel to enter；
The shutdown module, for when receiving the shutdown instruction of management end sending, close the door or ensure door in the state of closing,
The personnel are forbidden to enter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811527786.7A CN109635741A (en) | 2018-12-13 | 2018-12-13 | A kind of recognition of face big data management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811527786.7A CN109635741A (en) | 2018-12-13 | 2018-12-13 | A kind of recognition of face big data management system |
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| CN109635741A true CN109635741A (en) | 2019-04-16 |
Family
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| CN201811527786.7A Pending CN109635741A (en) | 2018-12-13 | 2018-12-13 | A kind of recognition of face big data management system |
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| CN111932701A (en) * | 2020-08-05 | 2020-11-13 | 合肥革绿信息科技有限公司 | Intelligent face attendance management system and method based on construction site |
| CN112257007A (en) * | 2020-12-18 | 2021-01-22 | 垒途智能教科技术研究院江苏有限公司 | Enterprise financial information management system |
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Application publication date: 20190416 |