CN208938166U - A kind of dining room payment system based on recognition of face - Google Patents
A kind of dining room payment system based on recognition of face Download PDFInfo
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- CN208938166U CN208938166U CN201821995200.5U CN201821995200U CN208938166U CN 208938166 U CN208938166 U CN 208938166U CN 201821995200 U CN201821995200 U CN 201821995200U CN 208938166 U CN208938166 U CN 208938166U
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Abstract
The utility model provides a kind of dining room payment system based on recognition of face, comprising: subsystem of ordering, payment subsystem, all-in-one machine and communication unit, payment subsystem includes face characteristic library and Charging Detail Record unit；All-in-one machine includes: shell, control unit, the first authentication unit and display unit；User is ordered food by the subsystem of ordering, and generates information of ordering, after being proved to be successful by the first authentication unit, the payment subsystem is deducted fees accordingly according to information of ordering；The utility model is directed to the registration user in dining room, traditional IC card can be replaced completely to consume, can be with save the cost；Brush face just completes entire payment process, really realizes a people one " card ", recognition of face is more efficient, accurate, conveniently, can fundamentally prevent the wrong brush in traditional dining room means of payment, more people consumption one blocks, and avoids managerial confusion.
Description
Technical field
The utility model relates to electronic field more particularly to a kind of dining room payment systems based on recognition of face.
Background technique
In some large and medium-sized enterprises, public institution (such as hospital, school), factory, business premises or industrial park,
It is designed with internal dining room, facilitates the life of employee, provides welfare for employee.Most of the payment system in existing dining room is to pass through
First supplement the payment management mode of brush IC card payment with money.It is mainly employee and a small number of visitors or outer in the consumer group in dining room
Carry out personnel.For employee, employing unit has the welfare of various criterion；It, will be by enterprise or list for the visitor of public affair reception
It is received by dining standard position；For other visitors, visitor oneself is needed to pay dining expense.
Currently, in actual use, the dinning card of employee, which is easy to appear, to be falsely used or for brush, the more people's consumption of a card,
To waste the welfare that employee gives in employing unit.For belonging to the visitor of public affair reception, host organization is desired with accurately
Ground records have dinner personnel and reception department, avoids public affair reception from being abused, causes unnecessary extravagance and waste.And oneself is paid
The visitor's consumption taken, it would be desirable that capable of having dinner, it is quick and conveniently to pay.It is existing meeting therefore, it is necessary to a kind of new means of payment
On the basis of having payment function, it can fundamentally prevent other people and falsely use or for brush dinning card phenomenon, to avoid wasting, save
About cost, payment flow mode are more accurate, convenient and quick.
Utility model content
In view of the foregoing deficiencies of prior art, the utility model provides a kind of dining room payment system based on recognition of face
System, to solve the above technical problems.
Dining room payment system provided by the utility model based on recognition of face, comprising:
It orders subsystem, payment subsystem, all-in-one machine and communication unit, it is described to order subsystem and payment subsystem passes through
Communication unit is connect with all-in-one machine；
The payment subsystem includes Charging Detail Record unit and the face characteristic library for storing face characteristic information；
The all-in-one machine includes:
Shell, control unit, the first authentication unit and display unit；
First authentication unit includes: man face image acquiring subelement and recognition of face subelement；Described control unit
It is set to enclosure interior with recognition of face subelement, the display unit is set to hull outside；Man face image acquiring
The output end of unit is connect with recognition of face subelement input terminal, and described control unit is connect with recognition of face subelement, described
The input terminal of display unit and the output end of control unit connect.
Further, the subsystem of ordering includes information receiving unit for obtaining the information of ordering of user, for root
Strong point meal information generates the meal list transmission unit of pantry list, and the meal list receiving unit for receiving pantry list；
The information receiving unit includes for carrying out touching the graphical module ordered and/or for receiving user speech
The voice module ordered.
Further, the subsystem of ordering further includes automatic pantry unit, and the automatic pantry unit includes pantry control
Device, carrier module and delivery module, the pantry controller selects the carrier module for holding corresponding vegetable according to pantry single choice, and controls
The carrier module is transmitted to designated position by delivery module processed.
Further, the man face image acquiring subelement includes sequentially connected image capture module, face acquisition module
With In vivo detection module, described image acquisition module is set to hull outside, the face acquisition module and In vivo detection module
It is set to enclosure interior.
Further, the display unit includes the first display module and the second display module, first display module
The display screen of display screen and the second display module is backwards to setting.
Further, further include the second authentication unit for carrying out secondary verifying when the first authentication unit authentication failed,
Second authentication unit includes IC card identification module, and the IC card identification module is connect with control unit.
Further, the recognition of face subelement includes face quality assessment modules, human face data contrast module and face
Feature database, the face quality assessment modules are connect with man face image acquiring subelement, the human face data contrast module and people
The connection of face feature database.
It further, further include input module for inputting payment cipher, the output end of the input module and control are single
The input terminal connection of member.
Further, the payment subsystem further includes the balance reminding module for being reminded when user balance deficiency
With the statistical module for counting user consumer record, generation statistical report form.
The utility model has the beneficial effects that the dining room payment system based on recognition of face in the utility model, for food
The registration user of hall, can replace completely traditional IC card to consume, can be with save the cost；Brush face just completes entire payment process,
Really realize a people one " card ", recognition of face is more efficient, accurate, conveniently, can fundamentally prevent traditional dining room means of payment
In wrong brush, more people consumption one card, avoid managerial confusion；Identification can be effectively reduced in the utility model
Error rate, ensure that the correctness of recognition of face consumption, and difference branch can be carried out for the different reception object in dining room
It pays, it is more accurate to record, while also effectively avoiding waste, easy to use.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the consumption and payment system in the utility model embodiment based on recognition of face.
Fig. 2 is that the external structure of the all-in-one machine of the consumption and payment system in the utility model embodiment based on recognition of face is shown
It is intended to.
Fig. 3 is the schematic illustration of the all-in-one machine of the consumption and payment in the utility model embodiment based on recognition of face.
Specific embodiment
Illustrate the embodiments of the present invention below by way of specific specific example, those skilled in the art can be by this theory
Content disclosed by bright book understands other advantages and effect of the utility model easily.The utility model can also be by addition
Different specific embodiments are embodied or practiced, and the various details in this specification can also be based on different viewpoints and answer
With carrying out various modifications or alterations under the spirit without departing from the utility model.It should be noted that the case where not conflicting
Under, the feature in following embodiment and embodiment can be combined with each other.
It should be noted that diagram provided in following embodiment only illustrates the basic of the utility model in a schematic way
Conception, only shown in schema then with related component in the utility model rather than component count when according to actual implementation, shape
And size is drawn, when actual implementation kenel, quantity and the ratio of each component can arbitrarily change for one kind, and its assembly layout
Kenel may also be increasingly complex.
As shown in Figure 1, the dining room payment system based on recognition of face in the present embodiment, comprising:
It orders subsystem, payment subsystem, all-in-one machine and communication unit, it is described to order subsystem and payment subsystem passes through
Communication unit is connect with all-in-one machine；
The payment subsystem includes Charging Detail Record unit and the face characteristic library for storing face characteristic information；
The all-in-one machine includes:
Shell, control unit, the first authentication unit and display unit；
First authentication unit includes: man face image acquiring subelement and recognition of face subelement；Described control unit
It is set to enclosure interior with recognition of face subelement, the display unit is set to hull outside；Man face image acquiring
The output end of unit is connect with recognition of face subelement input terminal, and described control unit is connect with recognition of face subelement, described
The input terminal of display unit and the output end of control unit connect.
In the present embodiment, user is ordered food by the subsystem of ordering, and generates information of ordering, and passes through the first verifying
After unit is proved to be successful, the payment subsystem is deducted fees accordingly according to information of ordering, the all-in-one machine in the present embodiment
Structure is as shown in Figure 3.
In the present embodiment, in the present embodiment, it by carrying out Face datection and face characteristic extraction to facial image, obtains
To face characteristic information data, and by face characteristic storage into face characteristic library, in actual application, in conjunction with
Recognition of face, then the password of input is compared with user password, it is proved to be successful, deducts fees.Disappear by the way that Charging Detail Record unit is deductible
Take the amount of money, calculates remaining sum.Preferably, payment subsystem further includes that the remaining sum for being reminded when user balance deficiency mentions
Module of waking up and counting user consumer record, the statistical module for generating statistical report form.Spending amount is deducted by balance reminding module,
Remaining sum is calculated, when Sorry, your ticket has not enough value, can be reminded.Consumer record can be counted by statistical module, generates statistical tables and reports, it is raw
At of that month, last month detailed consumer record log, every consumer record can be inquired, while recording the people of brush face payment consumption at that time
Face information.
In the present embodiment, subsystem of ordering includes:
Information receiving unit obtains the information of ordering of user for carrying out human-computer interaction with user；The information receives single
Member includes for carrying out touching the graphical module ordered and/or the voice module ordered for receiving user speech；
The pantry list for generating pantry list according to information of ordering, and is sent to meal list and received by the single transmission unit of meal
Unit
The single receiving unit of meal, for receiving pantry list, so that pantry personnel carry out corresponding pantry；
It preferably, further include automatic pantry unit, automatic pantry unit includes pantry controller, carrier module and transmission mould
Block, the pantry controller select the carrier module for holding corresponding vegetable according to pantry single choice, and control delivery module and hold described
It carries module and is transmitted to designated position, the means of transportation that delivery module can be conventional using conveyer belt etc. can be in actual work
Carrier module is numbered or preset specific position accordingly, is established between vegetable by number or specific position
Mapping relations, pantry controller can select the carrier module of reference numeral or specific position according to meal single choice, and then pass through
Delivery module is transmitted to preassigned position, such as is transmitted to the opereating specification of pantry personnel, it is of course also possible to directly transmit
To the pick-up position of user.
In the present embodiment, recognition of face subelement includes: face quality assessment modules, for the facial image to acquisition
Quality evaluation is carried out, output quality evaluation facial image up to standard and optimal is demarcated, if the facial image of acquisition passes through
It is not up to standard after quality evaluation, then it feeds back to image capture module and resurveys；Facial Feature Analysis module, for calibration
Facial image carries out face characteristic extraction, obtains face characteristic information data；Human face data contrast module, the people for will acquire
Face characteristic information data is compared with the data in the face characteristic library in payment subsystem, obtains recognition result.Pass through people
Face quality assessment modules can carry out quality evaluation to collected sequence facial image, can be used for subsequent place to filter out
The facial image of reason is carrying out face characteristic extraction from the facial image filtered out, is obtaining face characteristic information data, then will
The face characteristic information data of acquisition are compared with the data in face characteristic library, so that it may obtain more accurate identification knot
Fruit.
In the present embodiment, further include input module, the password of number and letter composition can be inputted by input module,
Input module can use the keyboard input structure of entity, can also be using input structures such as touch screens.
In the present embodiment, payment process can carry out according to the actual situation, for example, in the payment process of an embodiment
In:
If the recognition result of the first authentication unit is registration user, user is reminded to input password, if password authentification is just
Really, then user information is shown by display unit, payment system is deducted fees, and shows this spending amount and remaining sum.If
The recognition result of first authentication unit is nonregistered user, then not can be carried out " brush face " consumption and payment.Preferably, work as password authentification
When mistake, different subsequent processing modes can be used, for example, can directly determine not can be carried out consumption, it is preferable that Ke Yicong
The top N user for selecting similarity to meet recognition threshold in face recognition result carries out password match, and password match is being just if it exists
True user, then display screen shows that the correct user information of password match, payment system are deducted fees, and shows this consumption gold
Volume and remaining sum；If all user passwords cannot match, consumption not can be carried out.
In the payment process of another embodiment:
User can be reminded to input password first；The user of registration is found by password match, is established and is identified small library, then
Recognition of face is carried out in small library；Face recognition result meets recognition threshold, selects the user of highest similarity for final identification knot
Fruit, then user information is shown by display unit, payment system is deducted fees, and shows this spending amount and remaining sum；Face
Recognition result is unsatisfactory for recognition threshold (i.e. recognition failures), not can be carried out brush face consumption and payment.
As shown in Fig. 2, in this example it is shown that unit include the first display module 1 and the second display module 2, it is described
The display screen of the display screen of first display module 1 and the second display module 2 is backwards to being arranged, using the first display module 1 and second
Display module 2 carries out shuangping san, is set backwards by the display screen of the display screen and the second display module 2 of the first display module 1
It sets, consumer can be made to see a screen, staff sees a screen, it is preferable that can be to set between display module back and shell
It is equipped with movable part, by using the mode of flexible connection, in order to carry out angular adjustment.
In the present embodiment, further include the second verifying for carrying out secondary verifying when the first authentication unit authentication failed
Unit, second authentication unit include IC card identification module, and the IC card identification module is connect with control unit.
In the present embodiment, In vivo detection module includes three-dimensional image pickup device, binocular camera shooting device, near-infrared detection apparatus
Or the combination of one or more of action command living body detection device, In vivo detection module are mainly used to the image of detection acquisition
It whether is true man, to prevent malicious person from forging and stealing other people biological characteristic for authentication, by In vivo detection function,
Judge whether the biological characteristic submitted comes from lived individual, action command living body detection device can use recognition of face skill
The current In vivo detection technology of art is generally by the way of instruction action cooperation, such as face turns left, turns right, opens one's mouth, blinks, and refers to
Cooperation mistake is enabled then to be considered to forge deception.Only infrared detecting device be based on optical flow method and realize, without instruct cooperation, detection at
Power is higher.According to optical flow method, determined respectively using the time domain variation and correlation of the pixel intensity data in image sequence
" movement " of location of pixels.Three-dimensional image pickup device can use 3D camera shooting face, obtain the 3D of corresponding human face region
Data, and be further analyzed based on these data, finally judge that this face is from living body or non-living body.It is based on
The 3D human face data of living body and non-living body selects the feature of most discrimination to train classifier, utilizes trained classification
Device distinguishes living body and non-living body.The feature of selection had both included global information, also contained local information, such feature
Be conducive to the stability and robustness of algorithm.Binocular camera is special based on skin material specific to multispectral technology and face
Sign.Under the irradiation of multispectral light source, collected real human face material and various forgery face materials can be in special cameras
It is middle apparent difference occur.This species diversity can be quantified by image processing techniques and machine learning method.Utilize depth
Mode of learning allows computer that can independently judge whether sample to be detected is real human face, to reach the work of prosthetic supervision
The purpose that physical examination is surveyed.
The processors such as control unit, pantry controller in the present embodiment can be general processor, including central processing
Device (Central Processing Unit, abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；Also
It can be digital signal processor (Digital Signal Processing, abbreviation DSP), specific integrated circuit
(Application Specific Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-
Programmable Gate Array, abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic
Device, discrete hardware components.
Note that indicating signal with line in the respective figure of embodiment, some lines are thicker, to indicate more structures
There is arrow at one or more ends of signal path (constituent signal path) and/or some lines, to indicate
Main information flow direction, these marks are not intended to be limited, in fact, one or more example embodiments is combined to use this
A little lines help more easily to connect circuit or logic unit, and any representative signal (being determined by design requirement or preference) is real
May include on border can any one direction transmit and can with the signaling plan of any appropriate type realize one
A or multiple signals.
Unless specified otherwise herein, common object otherwise is described using ordinal adjectives " first ", " second " etc., only indicated
The different instances of same object are referred to, and are not intended to imply that the object described in this way must be using given sequence, either
Temporally, spatially, sequence ground or any other mode.
Specification refers to expression knot to " embodiment ", " one embodiment ", " some embodiments " or " other embodiments "
Closing a particular feature, structure, or characteristic that illustrates of embodiment includes at least some embodiments, but needing not be whole embodiments.
Being not necessarily all referring to for identical embodiment occur in " embodiment ", " one embodiment ", the multiple of " some embodiments ".If
Specification describe component, feature, structure or characteristic " can with ", " perhaps " or " can " included the then particular elements, spy
Sign, structure or characteristic " can with ", " perhaps " or " can " included that then the particular elements, feature, structure or characteristic are not required
Included.If specification or claim refer to " one " element, not indicate only have an element.If specification or power
Benefit requires to refer to " one is other " element, it is not excluded that there are more than one other element.
Although having been incorporated with specific embodiment of the utility model the utility model is described, before
The description in face, many replacements of these embodiments, modification and variation will be apparent for those of ordinary skills
's.The embodiments of the present invention be intended to cover fall into all such replacements within the broad range of appended claims,
Modifications and variations.
The above embodiments are only illustrative of the principle and efficacy of the utility model, and not for limitation, this is practical new
Type.Any person skilled in the art can all carry out above-described embodiment under the spirit and scope without prejudice to the utility model
Modifications and changes.Therefore, such as those of ordinary skill in the art without departing from the revealed essence of the utility model
All equivalent modifications or change completed under mind and technical idea, should be covered by the claim of the utility model.
Claims (9)
1. a kind of dining room payment system based on recognition of face characterized by comprising
It orders subsystem, payment subsystem, all-in-one machine and communication unit, it is described to order subsystem and payment subsystem passes through communication
Unit is connect with all-in-one machine；
The payment subsystem includes Charging Detail Record unit and the face characteristic library for storing face characteristic information；
The all-in-one machine includes:
Shell, control unit, the first authentication unit and display unit；
First authentication unit includes: man face image acquiring subelement and recognition of face subelement；Described control unit and people
Face identification subelement is set to enclosure interior, and the display unit is set to hull outside；The man face image acquiring subelement
Output end connect with recognition of face subelement input terminal, described control unit is connect with recognition of face subelement, the display
The input terminal of unit and the output end of control unit connect.
2. the dining room payment system according to claim 1 based on recognition of face, which is characterized in that the subsystem of ordering
Information receiving unit including the information of ordering for obtaining user, the meal single-shot for generating pantry list according to information of ordering are sent
Unit, and the meal list receiving unit for receiving pantry list；
The information receiving unit includes for carrying out touching the graphical module ordered and/or order for receiving user speech
Voice module.
3. the dining room payment system according to claim 2 based on recognition of face, which is characterized in that the subsystem of ordering
It further include automatic pantry unit, the automatic pantry unit includes pantry controller, carrier module and delivery module, the pantry
Controller selects the carrier module for holding corresponding vegetable according to pantry single choice, and controls delivery module and be transmitted to the carrier module
Designated position.
4. the dining room payment system according to claim 1 based on recognition of face, which is characterized in that the facial image is adopted
Collection subelement includes sequentially connected image capture module, face acquisition module and In vivo detection module, and described image acquires mould
Block is set to hull outside, and the face acquisition module and In vivo detection module are set to enclosure interior.
5. the dining room payment system according to claim 1 based on recognition of face, which is characterized in that the display unit packet
The first display module and the second display module are included, the display screen of first display module and the display screen of the second display module are carried on the back
To setting.
6. the dining room payment system according to claim 1 based on recognition of face, which is characterized in that further include for when the
The second authentication unit of secondary verifying is carried out when one authentication unit authentication failed, second authentication unit includes IC card identification mould
Block, the IC card identification module are connect with control unit.
7. the dining room payment system according to claim 1 based on recognition of face, which is characterized in that recognition of face
Unit includes face quality assessment modules and human face data contrast module, the face quality assessment modules and man face image acquiring
Subelement connection, the human face data contrast module are connect with face characteristic library.
8. -7 any dining room payment system based on recognition of face according to claim 1, which is characterized in that further include using
In the input module of input payment cipher, the output end of the input module and the input terminal of control unit are connected.
9. the dining room payment system according to claim 8 based on recognition of face, which is characterized in that the payment subsystem
Further include balance reminding module for being reminded when user balance deficiency and for counting user consumer record, generate system
Count the statistical module of report.
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| CN201821995200.5U CN208938166U (en) | 2018-11-29 | 2018-11-29 | A kind of dining room payment system based on recognition of face |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110599639A (en) * | 2019-08-13 | 2019-12-20 | 深圳市天彦通信股份有限公司 | Identity verification method and related product |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110599639A (en) * | 2019-08-13 | 2019-12-20 | 深圳市天彦通信股份有限公司 | Identity verification method and related product |
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