CN208752683U - A kind of ticket-checking system based on big data and recognition of face - Google Patents
A kind of ticket-checking system based on big data and recognition of face Download PDFInfo
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- CN208752683U CN208752683U CN201821693816.7U CN201821693816U CN208752683U CN 208752683 U CN208752683 U CN 208752683U CN 201821693816 U CN201821693816 U CN 201821693816U CN 208752683 U CN208752683 U CN 208752683U
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- 238000004891 communication Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 39
- 238000011156 evaluation Methods 0.000 claims description 17
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000000034 method Methods 0.000 description 6
- 238000013210 evaluation model Methods 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- 230000001815 facial effect Effects 0.000 description 3
- 238000013441 quality evaluation Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000001303 quality assessment method Methods 0.000 description 2
- 230000002860 competitive effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
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Abstract
The utility model relates to a kind of ticket-checking system based on big data and recognition of face belongs to ticket-checking system field, including ticket checking terminal, and the ticket checking terminal includes cabinet, and box house is equipped with host；Gate is arranged on cabinet, is controlled by the host；Face identification device is fixed by the bracket on the cabinet, and the face identification device includes camera and light compensating lamp；Ticket identification camera lens is additionally provided on the cabinet；Further include cloud server, the booking database that connect with host, the administrative department's terminal connecting with cloud server, the host is communicated to connect by communication module and the cloud server；The cloud server is connect with public security private network.Monitoring is compared to personnel by big data and cloud server in the utility model, and public security department can be helped to grasp the information of a suspect in time.
Description
Technical field
The utility model belongs to ticket-checking system field, is related to a kind of ticket-checking system based on big data and recognition of face.
Background technique
China at this stage, Bus Transportation traffic is throughout provinces and cities, autonomous region, district and small towns, most passenger trains
It is assembled with monitoring and GPS system.But China has a vast territory, various regions development is uneven, especially most in district and small towns etc.
Several base's bus passenger terminals is not carry out system of real name booking, can even be bought in generation by other people.Most of base
Bus passenger terminal is all manually examining tickets, and especially in festivals or holidays, workload is increased sharply, and increases human cost.In this way, the identity of passenger
It is not easy to be identified.Accident occurs in passenger traffic, because of the identity information of unknown passenger, causes difficulty to the work of relevant departments.Because
Without real name booking, many crime suspects can also be absconded by passenger traffic, pursued and captured an escaped prisoner or solved a case to public security and cause certain difficulty.
Same problem exists in the ticket checking scene of shipping, scenic spot, exhibition, concert and competitive sports.
Utility model content
In view of this, the purpose of this utility model is to provide it is a kind of ticket checking it is high-efficient, by big data analysis and with public affairs
The recognition of face ticket-checking system of peace department docking.
In order to achieve the above objectives, the utility model provides the following technical solutions:
A kind of ticket-checking system based on big data and recognition of face, including ticket checking terminal, the ticket checking terminal includes cabinet,
Box house is equipped with host；Gate is arranged on cabinet, is controlled by the host；Face identification device is fixed by the bracket
On the cabinet, the face identification device includes camera and light compensating lamp；Ticket identification camera lens is additionally provided on the cabinet；
Further include cloud server, the booking database that is connect with host, the administrative department being connect with cloud server it is whole
End, the host are communicated to connect by communication module and the cloud server；The cloud server is connect with public security private network.
It further, include central processing unit module, communication module, human image collecting module, image procossing in the host
Module and image evaluation module, communication module, image evaluation module are connect with central processing unit module respectively, human image collecting mould
Block is connect with image processing module, and image processing module is connect with image evaluation module, the camera and human image collecting module
Connection；The cloud server includes processor, face contrast module and alarm module, face contrast module, alarm module point
It is not connect with processor.
Further, the central processing unit module is also connected with gate driving device.
Further, the central processing unit module is also connected with voice prompt device.
Further, the central processing unit module is connected with the control button controlled manually gate, the control
Button processed is arranged on cabinet.
Further, described image evaluation module includes sequentially connected dimension taxon, preliminary assessment unit and quality
Assessment unit.
Dimension taxon is for classifying collected human face data according to the feature that degrades of different dimensions, and root
The corresponding Branch Tasks of every class dimensional characteristics are established according to classification results；
Preliminary assessment unit for carrying out preliminary assessment and mark to every class image in sorted human face data respectively；
Quality estimation unit is for carrying out image quality measure.
Deep neural network is built according to the human face data after preliminary assessment and mark, the Evaluation Model on Quality is carried out
Training carries out the prediction of multiple-limb task according to be assessed facial image of the Evaluation Model on Quality after training to input, completes people
Face image quality evaluation.
It further, further include the display screen for being electrically connected controller, display screen is installed on the lower section of camera.
Further, it is additionally provided with card reader of ID card on the cabinet, further includes identity document identification module in the host,
The card reader of ID card, identity document identification module, central processing unit module are sequentially connected.
Further, the host further includes people-card contrast module, the people-card contrast module and central processing unit mould
Block connection.
Further, the host further includes card-ticket contrast module, the card-ticket contrast module and central processing unit mould
Block connection.
The utility model has the beneficial effects that: the utility model carries out recognition of face by the personnel to ticket checking terminal,
Key monitoring personal information is compared with machine personnel are crossed by cloud server and database, if discovery a suspect, energy
Enough real-time informing public security departments and administrative department, such as do not find a suspect, can will also cross the preservation of machine personal information and count beyond the clouds
According to library, big data is formed, facilitates public security department and administrative department to consult at any time, in case of need.
Detailed description of the invention
In order to keep the purpose of this utility model, technical scheme and beneficial effects clearer, the utility model provides as follows
Attached drawing is illustrated:
Fig. 1 is the system structure diagram of the utility model embodiment.
Appended drawing reference: central processing unit module 1, image evaluation module 2, image processing module 3, human image collecting module 4,
Camera 5, gate driving device 6, gate 7, cloud server 8, public security private network 9, public security system terminal 10, administrative department's terminal
11, bank slip recognition terminal 12, booking database 13, identity card identification module 14, people-card contrast module 15, card-ticket contrast module
16。
Specific embodiment
Below in conjunction with attached drawing, the preferred embodiment of the utility model is described in detail.
As shown in Figure 1, a kind of ticket-checking system based on big data and recognition of face, including ticket checking terminal, the ticket checking is eventually
End includes cabinet, and box house is equipped with host；Gate 7 is arranged on cabinet, is controlled by the host；Face identification device leads to
It crosses bracket to be fixed on the cabinet, the face identification device includes camera 5 and light compensating lamp；It is additionally provided on the cabinet
Ticket identifies camera lens；
Further include cloud server 8, the booking database 13 that connect with host, the management department connecting with cloud server 8
Door terminal 11, the host are communicated to connect by communication module and the cloud server 8；The cloud server 8 and public security
Private network 9 connects.
Preferably, in the host including central processing unit module 1, communication module, human image collecting module 4, image
Reason module 3 and image evaluation module 2, communication module, image evaluation module 2 are connect with central processing unit module 1 respectively, portrait
Acquisition module 4 is connect with image processing module 3, and image processing module 3 is connect with image evaluation module 2, the camera 5 and people
As acquisition module 4 connects；The cloud server 8 includes processor, face contrast module and alarm module, and face compares mould
Block, alarm module are connect with processor respectively.
Preferably, the central processing unit module 1 is also connected with gate driving device 6.
Preferably, the central processing unit module 1 is also connected with voice prompt device.
Preferably, the central processing unit module 1 is connected with the control button controlled manually gate 7, described
Control button is arranged on cabinet.
Preferably, described image evaluation module 2 includes sequentially connected dimension taxon, preliminary assessment unit and quality
Assessment unit.
Dimension taxon is for classifying collected human face data according to the feature that degrades of different dimensions, and root
The corresponding Branch Tasks of every class dimensional characteristics are established according to classification results；
Preliminary assessment unit for carrying out preliminary assessment and mark to every class image in sorted human face data respectively；
Quality estimation unit is for carrying out image quality measure.
Deep neural network is built according to the human face data after preliminary assessment and mark, the Evaluation Model on Quality is carried out
Training carries out the prediction of multiple-limb task according to be assessed facial image of the Evaluation Model on Quality after training to input, completes people
Face image quality evaluation.
It preferably, further include the display screen for being electrically connected controller, display screen is installed on the lower section of camera 5.
Preferably, it is additionally provided with card reader of ID card on the cabinet, further includes identity document identification module in the host,
The card reader of ID card, identity card identification module 14, central processing unit module 1 are sequentially connected.
Preferably, the host further includes people-card contrast module 15, the people-card contrast module 15 and central processing list
Element module 1 connects.
Preferably, the host further includes card-ticket contrast module 16, the card-ticket contrast module 16 and central processing list
Element module 1 connects.
The working principle of the utility model are as follows: taken pictures by camera 5 to face, human image collecting module 4 will acquire
To facial image be sent to image processing module 3, human face image information is encapsulated as data by coding by image processing unit
Packet is sent to image evaluation module 2, and image evaluation module 2 carries out quality evaluation to face image data, if quality of evaluation is not
Qualification, feeds back information to human image collecting module 4, and control camera 5 is taken pictures again；Quality of evaluation is qualified or excellent, then passes through
Bank slip recognition terminal 12 identifies the data of bill, and sends the data to central processing unit module 1, central processing unit module
1 compares bill data and the data in booking database 13, if billing information is errorless, regulating gate driving device will
Gate is opened, and is carried out voice prompting personnel and passed through gate 7；If billing information is errorless, voice prompting mistake, and notify to manage
Reason personnel check.
The corresponding billing information of human face data information is combined by central processing unit module 1, while by logical
Letter module is sent to cloud server 8, and cloud server 8 is connect with public security private network 9, and what real-time update public security department provided pursues and captures an escaped prisoner
Key monitorings crowd's information such as personnel, the personnel that break one's promise, Missing Persons, is saved in cloud database, cloud server 8 passes through tune
Key monitoring crowd's information in cloud database is taken, the face information sended over by face contrast module and ticket checking terminal
It is compared, if discovery a suspect, the terminal of public security department and administrative department is sent information to by alarm module；If
After comparing is not key monitoring personnel, then human face data and billing information one-to-one correspondence is stored in cloud database,
Public security department and administrative department is facilitated to check flow of personnel stroke at any time.
More preferably, the ticket checking terminal further includes identity card identification module 14, the identity card identification module 14 and center
Processing unit module 1 connects.
More preferably, the ticket checking terminal further includes people-card contrast module 15, the people-card contrast module 15 and centre
Unit module 1 is managed to connect.
More preferably, the ticket checking terminal further includes card-ticket contrast module 16, the card-ticket contrast module 16 and centre
Unit module 1 is managed to connect.
It is identified by the identity card to machine personnel excessively, then passes through people-card contrast module 15 and card-ticket contrast module 16
Face information and ID card information are compared, ID card information is compared with billing information, opens lock again after correct
Machine 7 can more improve safety.
It should be noted that for simple description, therefore, it is stated as a systems for each embodiment of the method above-mentioned
The combination of actions of column, but those skilled in the art should understand that, the application is not limited by the described action sequence, because
For according to the application, certain some step be can be performed in other orders or simultaneously.Secondly, those skilled in the art also should
Know, the embodiments described in the specification are all preferred embodiments, related movement and unit not necessarily this Shen
It please be necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in some embodiment
Part, reference can be made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, ROM, RAM etc..
Finally, it is stated that preferred embodiment above is merely intended for describing the technical solutions of the present application, but not for limiting the present application, to the greatest extent
Pipe has been described in detail the utility model by above preferred embodiment, but those skilled in the art should manage
Solution, can make various changes, without departing from the utility model claims book institute to it in the form and details
The range of restriction.
Claims (10)
1. a kind of ticket-checking system based on big data and recognition of face, it is characterised in that: including checking terminal, the ticket checking terminal
Including cabinet, box house is equipped with host；Gate is arranged on cabinet, is controlled by the host；Face identification device passes through
Bracket is fixed on the cabinet, and the face identification device includes camera and light compensating lamp；Ticket is additionally provided on the cabinet
Certificate identifies camera lens；
Further include cloud server, the booking database that connect with host, the administrative department's terminal connecting with cloud server, institute
Host is stated to communicate to connect by communication module and the cloud server；The cloud server is connect with public security private network.
2. a kind of ticket-checking system based on big data and recognition of face according to claim 1, it is characterised in that: the master
Include central processing unit module, communication module, human image collecting module, image processing module and image evaluation module in machine, leads to
Letter module, image evaluation module are connect with central processing unit module respectively, and human image collecting module is connect with image processing module,
Image processing module is connect with image evaluation module, and the camera is connect with human image collecting module；The cloud server packet
Processor, face contrast module and alarm module are included, face contrast module, alarm module are connect with processor respectively.
3. a kind of ticket-checking system based on big data and recognition of face according to claim 2, it is characterised in that: in described
Central Processing Unit module is also connected with gate driving device.
4. according to a kind of ticket-checking system based on big data and recognition of face as claimed in claim 2, it is characterised in that: the center
Processing unit module is also connected with voice prompt device.
5. a kind of ticket-checking system based on big data and recognition of face according to claim 2, it is characterised in that: in described
Central Processing Unit module is connected with the control button controlled manually gate, and the control button is arranged on cabinet.
6. a kind of ticket-checking system based on big data and recognition of face according to claim 2, it is characterised in that: the figure
As evaluation module includes sequentially connected dimension taxon, preliminary assessment unit and quality estimation unit.
7. a kind of ticket-checking system based on big data and recognition of face according to claim 2, it is characterised in that: further include
It is electrically connected the display screen of controller, display screen is installed on the lower section of camera.
8. a kind of ticket-checking system based on big data and recognition of face according to claim 2, it is characterised in that: the case
It is additionally provided with card reader of ID card on body, further includes identity document identification module, the card reader of ID card, identity in the host
Certificate identification module, central processing unit module are sequentially connected.
9. a kind of ticket-checking system based on big data and recognition of face according to claim 8, it is characterised in that: the master
Machine further includes people-card contrast module, and the people-card contrast module is connect with central processing unit module.
10. a kind of ticket-checking system based on big data and recognition of face according to claim 9, it is characterised in that: described
Host further includes card-ticket contrast module, and the card-ticket contrast module is connect with central processing unit module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821693816.7U CN208752683U (en) | 2018-10-18 | 2018-10-18 | A kind of ticket-checking system based on big data and recognition of face |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821693816.7U CN208752683U (en) | 2018-10-18 | 2018-10-18 | A kind of ticket-checking system based on big data and recognition of face |
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| Publication Number | Publication Date |
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| CN208752683U true CN208752683U (en) | 2019-04-16 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201821693816.7U Expired - Fee Related CN208752683U (en) | 2018-10-18 | 2018-10-18 | A kind of ticket-checking system based on big data and recognition of face |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111524242A (en) * | 2020-04-15 | 2020-08-11 | 福建九天达信息科技股份有限公司 | Ticket business system for swiping face to enter park in travel industry and use method thereof |
| CN113823002A (en) * | 2021-09-23 | 2021-12-21 | 上海哔哩哔哩科技有限公司 | Ticket checking method and device |
-
2018
- 2018-10-18 CN CN201821693816.7U patent/CN208752683U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111524242A (en) * | 2020-04-15 | 2020-08-11 | 福建九天达信息科技股份有限公司 | Ticket business system for swiping face to enter park in travel industry and use method thereof |
| CN113823002A (en) * | 2021-09-23 | 2021-12-21 | 上海哔哩哔哩科技有限公司 | Ticket checking method and device |
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| Date | Code | Title | Description |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190416 |
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| CF01 | Termination of patent right due to non-payment of annual fee |