CN109919672A - Intelligent method of ordering, system, terminal of ordering, canteen maker and storage medium - Google Patents
Intelligent method of ordering, system, terminal of ordering, canteen maker and storage medium Download PDFInfo
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- CN109919672A CN109919672A CN201910152132.9A CN201910152132A CN109919672A CN 109919672 A CN109919672 A CN 109919672A CN 201910152132 A CN201910152132 A CN 201910152132A CN 109919672 A CN109919672 A CN 109919672A
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Abstract
The present invention provides a kind of intelligent method of ordering, specifically includes: terminal of ordering detect user order signal when, recognition of face is carried out to user；Face recognition result is sent to intelligent recommendation subsystem by terminal of ordering；Intelligent recommendation subsystem carries out data analysis according to face recognition result, generates corresponding canteen and recommends inventory；Terminal of ordering shows that the canteen that intelligent recommendation subsystem returns recommends inventory；Terminal of ordering receive order instruct when, carry out electronic payment service；After confirmation electronics is ordered and paid successfully, terminal of ordering, which generates and sends corresponding canteen to canteen maker, makes inventory；Wherein, canteen maker makes inventory according to canteen and makes canteen.The present invention also provides a kind of intelligent meal ordering system, terminal of ordering, canteen maker and storage mediums.The present invention solves that existing food service industry intelligent level is lower, and the dining of user is caused to experience bad and catering service provider the higher technical problem of operation cost.
Description
Technical field
The present invention relates to food and beverage sevice field more particularly to a kind of intelligent method of ordering, systems, order terminal, canteen system
Make machine and storage medium.
Background technique
Currently, although prior restaurant service industry has been incorporated into the multiple technologies means such as meal ordering system, mobile payment,
The sector is still difficult to decrease to artificial degree of dependence.
By taking the coffee service of cafe as an example: the process of ordering of current most of caves mainly includes: user see menu,
Single-point coffee, user are using bank card or barcode scanning payment, barista according to coffees such as Order creation coffee, user's queuings under user
Coffee, user hear call out the numbers after take the processes such as coffee.Order in coffee process existing, orders coffee to the whole process for taking coffee from user
It is substantially all by being accomplished manually.User will filter out the drink for meeting oneself taste from many and diverse menu, need to take out bank
Card or the payment of mobile phone barcode scanning, and the long period to be waited to take coffee with papery voucher at the scene, time-consuming and experience is bad；Meanwhile
Cafe needs to employ a large amount of manpower training and production coffee, expends time human cost, leads to the operation cost of cafe
It is higher.
In other words, for food service industry, man efficiency is lower, at high cost, while service quality is difficult to pass through
Limited manual service is highly improved and improves.Therefore, food service industry how is reduced as far as possible for artificial
Height relies on, and the dining experience for improving user has become urgent problem to be solved with the operation cost for reducing catering service provider.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The main purpose of the present invention is to provide a kind of intelligent method of ordering and device, electronic equipment, storage mediums, it is intended to
Solve that existing food service industry intelligent level is lower, cause the dining of user experience bad and catering service provider operation at
This higher technical problem.
To achieve the above object, the present invention provides a kind of intelligent method of ordering, the described method comprises the following steps:
Terminal of ordering detect user order signal when, to user carry out recognition of face；
Face recognition result is sent to intelligent recommendation subsystem by terminal of ordering；Wherein, intelligent recommendation subsystem is according to institute
It states face recognition result and carries out data analysis, generate corresponding canteen and recommend inventory；
Terminal of ordering shows that the canteen that intelligent recommendation subsystem returns recommends inventory；
Terminal of ordering receive order instruct when, carry out electronic payment service；
After confirmation electronics is ordered and paid successfully, terminal of ordering generates and sends corresponding canteen production to canteen maker
Inventory；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
Preferably, it is described order terminal detect user order signal when, to user carry out recognition of face the step of,
It specifically includes:
Terminal of ordering is in the portrait image for receiving user, signal of ordering described in triggering；
According to the signal of ordering, recognition of face is carried out to user, to obtain the identity information of user, be confirmed whether to exist
Default payment application carries out the binding of face information to user.
Preferably, the signal of ordering according to, to user carry out recognition of face, with obtain user identity information,
It is confirmed whether presetting the step of payment application carries out the binding of face information to user, specifically includes:
According to the signal of ordering, recognition of face is carried out to user, to obtain the identity information of user；
According to the identity information of user, judge whether user is new visitor；
If user is new visitor, face information is sent to default payment application and binds inquiry instruction, to be confirmed whether
The binding of face information is carried out to user in default payment application；
If the binding of face information is carried out to user in default payment application, to default payment application tune
The user's portrait information for taking family；
When the user for receiving user draws a portrait information, corresponding face recognition result is generated, for intelligent recommendation subsystem
System carries out data analysis and canteen is recommended.
Preferably, if the user is new visitor, face information is sent to default payment application and binds inquiry instruction,
To be confirmed whether after the step of default payment application carries out the binding of face information to user, further includes:
If not carrying out the binding of face information to user in default payment application, the portrait image of user is obtained,
To extract the macroscopic features information of user；
According to the macroscopic features information of user, corresponding face recognition result is generated, for the progress of intelligent recommendation subsystem
Data analysis and canteen are recommended.
In addition, to achieve the above object, order terminal the present invention also provides one kind, comprising:
Face identification unit, for detect user order signal when, to user carry out recognition of face；And it will
Face recognition result is sent to intelligent recommendation subsystem；Wherein, intelligent recommendation subsystem is carried out according to the face recognition result
Data analysis generates corresponding canteen and recommends inventory；
Canteen recommends inventory generation unit, recommends inventory for recommending inventory to generate corresponding canteen according to the canteen；
Electronic payment service unit, for order terminal receive order instruct when, carry out electronic payment service；
Inventory transmission unit is corresponded to for generating and sending to canteen maker after confirmation electronics is ordered and paid successfully
Canteen make inventory；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
In addition, to achieve the above object, the present invention also provides a kind of intelligent method of ordering, which comprises
Canteen maker makes inventory according to canteen and makes canteen；Wherein, terminal of ordering is generated and is sent out to canteen maker
Send the canteen production inventory.
In addition, to achieve the above object, the present invention also provides a kind of canteen maker, the canteen maker is used for basis
Canteen makes inventory and makes canteen；Wherein, terminal of ordering, which generates and sends the canteen to canteen maker, makes inventory.
In addition, to achieve the above object, the present invention also provides a kind of intelligent meal ordering system, the system comprises: it orders end
End, intelligent recommendation subsystem, canteen maker；Wherein,
Order terminal, for detect user order signal when, recognition of face is carried out to user；
It orders terminal, is also used to for face recognition result to be sent to intelligent recommendation subsystem；Wherein, intelligent recommendation subsystem
System generates corresponding canteen and recommends inventory for carrying out data analysis according to the face recognition result；
It orders terminal, is also used to that inventory is recommended to generate corresponding canteen according to the canteen to recommend inventory；
Order terminal, be also used to receive order instruct when, carry out electronic payment service；
After confirmation electronics is ordered and paid successfully, terminal of ordering is also used to send corresponding canteen system to canteen maker
Make inventory；Wherein, canteen maker makes canteen for making inventory according to canteen.
In addition, to achieve the above object, the present invention also provides a kind of storage medium, being stored with intelligence on the storage medium
It orders program, the intelligence is ordered the step of realizing intelligent method of ordering as described above when program is executed by processor.
In addition, to achieve the above object, the present invention also provides a kind of storage medium, being stored with intelligence on the storage medium
It orders program, the intelligence is ordered the step of realizing intelligent method of ordering as described above when program is executed by processor.
The embodiment of the present invention proposes a kind of intelligent method of ordering, system, terminal of ordering, canteen maker and storage medium,
Terminal of ordering detect user order signal when, automatically to user carry out recognition of face, to obtain people corresponding to the user
Face recognition result；And then actual demand and choosing of the intelligent recommendation subsystem based on face recognition result analysis user for canteen
Preference is selected, and generates accurately canteen and recommends inventory, and then terminal of ordering shows relevant recommendation canteen.On terminal backstage of ordering
Automatically the electronic payment service carried out facilitates the payment of ordering of user.In addition, ordering after confirmation electronics is ordered and paid successfully
Terminal, which generates and sends corresponding canteen to canteen maker, makes inventory, and is made clearly by canteen maker according to the canteen
Single production canteen, realize order, canteen production it is unmanned and intelligent, avoid the poor efficiency of manual service, improve use
The dining at family is experienced, it helps reduces the operation cost of eating and drinking establishment.
Detailed description of the invention
Fig. 1 is the flow diagram of the first embodiment of the intelligent method of ordering of the present invention；
Fig. 2 is the flow diagram of the second embodiment of the intelligent method of ordering of the present invention；
Fig. 3 is the composition schematic diagram of terminal of the invention of ordering；
Fig. 4 is the composition schematic diagram of the intelligent meal ordering system of the present invention.
The object of the invention is realized, the embodiments will be further described with reference to the accompanying drawings for functional characteristics and advantage.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
It should be noted that the present invention intelligence method of ordering, system, terminal of ordering, canteen maker and storage medium are outstanding
It is suitable for coffee-type food service industries.Therefore, for convenience of for example, hereafter each embodiment is with coffee-type food and beverage sevice
Carry out concrete example.
The present invention provides a kind of intelligent method of ordering.
Referring to Figure 1, Fig. 1 is the flow diagram of the first embodiment of the intelligent method of ordering of the present invention.In the present embodiment
In, it the described method comprises the following steps:
Step S10, terminal of ordering detect user order signal when, to user carry out recognition of face；
Terminal of ordering specifically can be intelligent mobile terminal (such as smart phone, tablet computer) or eating and drinking establishment be arranged in
Terminating machine.In the specific implementation, it can be user to order food by the application program being pre-installed on intelligent mobile terminal
Or when browsing canteen menu, trigger signal of ordering.Alternatively, terminal of ordering is ordered based on the user's portrait image triggering received
Signal.According to the trigger signal, terminal of ordering carries out recognition of face to user, to obtain the identity information of user (as determination is
It is no for new visitor), be confirmed whether to carry out user the binding of face information in default payment application, and then generate and user
Corresponding face recognition result；The specific embodiment of step S10 please refers to hereafter other embodiments.
Face recognition result is sent to intelligent recommendation subsystem by step S20, terminal of ordering；Wherein, intelligent recommendation subsystem
System carries out data analysis according to the face recognition result, generates corresponding canteen and recommends inventory；
Face recognition result based on the accurate matching user that terminal of ordering obtains, intelligent recommendation subsystem carry out relevant
Data analysis, and predict that the canteen of user selects preference or demand according to data analysis result, it generates corresponding canteen and recommends clearly
It is single；And canteen recommendation inventory is sent to terminal of ordering.Wherein, intelligent recommendation subsystem, which specifically can be, has at data
It manages, the data platform of analysis and predictive ability, concrete type is not construed as limiting, and can be third party's data platform.
In this way, intelligent recommendation subsystem is based on accurate matched related data, predictor closes user's actual need and selection
The canteen of preference, and then generate corresponding canteen and recommend inventory.So that canteen recommendation is more accurate effectively, it is more in line with use
The actual demand and preference at family.
Step S30, terminal of ordering show that the canteen that intelligent recommendation subsystem returns recommends inventory；
Canteen recommendation inventory is back to terminal of ordering by intelligent recommendation subsystem.The display screen display canteen for terminal of ordering
Recommend inventory (or relevant PUSH message)；User can view recommended canteen in the display screen for terminal of ordering.
In existing eating and drinking establishment, user need voluntarily read menus, filtered out from many and diverse information and meet oneself taste
Drink；Such mode of ordering is time-consuming and experience is bad.In addition, user needs use to carry bank when being paid
Card carries out payment of swiping the card, and perhaps needs to be paid the bill or taken out using portable cash mobile phone open payment using journey
Sequence carries out barcode scanning payment, this few class means of payment equally expends time and manpower.
And in embodiments of the present invention, the recommendation canteen of the terminal of precisely predicting and order of intelligent recommendation subsystem is shown,
Facilitate user and choose suitable canteen, leaies through time spent by board and the energy of eating to reduce user oneself, hoist point
Meal efficiency.
Step S40, terminal of ordering receive order instruct when, carry out electronic payment service；
User is after the suitable canteen of determination, and ordering, terminal is ordered food；Correspondingly, finger of ordering is triggered in terminal of ordering
It enables.Terminal of ordering carries out electronic payment service according to instruction of ordering.Specifically, it can be and default payment described above called to answer
Use program；If user's payment software bound face information, the face information identified by step S10 is in the pre- of user-association
If payment application auto deduction, course of payment is not necessarily to user's waste motion；If user does not tie up in default payment application
Determine face information, then terminal of ordering guidance user scene open face obligation authority, so as to next time can directly brush face carry out it is noninductive
Payment.
In this way, it is postprandial in user's point, it is done directly e-payment, is paid under line without carrying out, saves step of paying in cash
Suddenly, it is greatly convenient for the user to use.The preferred refinement step schematic diagram of step S10 to S40 as described above refers to Fig. 2.
Step S50, after confirmation electronics is ordered and paid successfully, terminal of ordering is generated and is sent to canteen maker corresponding
Canteen makes inventory；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
Wherein, canteen maker is the machinery equipment for being arranged in canteen production scene, has the related function of production canteen
Energy.For example, the coffee maker that kitchen is arranged after cafe receives the canteen production inventory for terminal of ordering, according to the canteen system
Make inventory production coffee.Particularly, terminal of ordering makes the required waiting time that inventory calculates production canteen according to canteen；To
When canteen maker sends corresponding canteen production inventory, terminal of ordering is with the institute of voice or text mode display production canteen
Need to wait for duration.In this way, user can know the duration that needs are lined up, avoid user because can not know wait in line duration and
Anxiety is generated, the usage experience for promoting user is facilitated.
In the present embodiment, terminal of ordering detect user order signal when, automatically to user carry out recognition of face,
To obtain face recognition result corresponding to the user；And then intelligent recommendation subsystem is based on the face recognition result and analyzes user couple
In the actual demand and selection preference of canteen, and generates accurately canteen and recommend inventory, and then terminal of ordering shows relevant push away
Recommend canteen.The payment of ordering of user is facilitated in the electronic payment service that terminal backstage carries out automatically of ordering.In addition, in confirmation electricity
Son is ordered pay successfully after, terminal of ordering, which generates, simultaneously to be sent corresponding canteen to canteen maker and makes inventory, and by canteen system
Make machine and inventory production canteen made according to the canteen, realize order, canteen production it is unmanned and intelligent, avoid artificial
The poor efficiency of service improves the dining experience of user, it helps reduce the operation cost of catering service provider.
Based on the first embodiment of the intelligent method of ordering of the present invention described above, the intelligent method of ordering of the present invention is proposed
Second embodiment.Fig. 2 is referred to, Fig. 2 is the flow diagram of the intelligent method of ordering second embodiment of the present invention.
Wherein, step S10 is specifically included: step S11, and terminal of ordering triggers institute in the portrait image for receiving user
State signal of ordering；
The picture pick-up device that the picture pick-up device or terminating machine that eating and drinking establishment is arranged in carry takes the user into eating and drinking establishment
Portrait image after, portrait image is sent to terminal of ordering；Terminal of ordering triggers institute in the portrait image for receiving user
State signal of ordering；
Step S12 carries out recognition of face to user according to the signal of ordering, to obtain identity information, the confirmation of user
Whether the binding of face information has been carried out to user in default payment application.
Terminal of ordering carries out the specific method of recognition of face it is not limited here to user.Terminal recognition of ordering goes out shooting figure
After the facial image of user as in, the feature extraction of facial image is carried out, and by the facial image feature and database of extraction
In the facial image feature of registered client matched；If successful match is extracted and corresponds to registered client in database
Identity information.The identity information may include the information such as name, gender, the age of client.
Step S12 is specifically included as a preferred implementation manner:
Step S121 carries out recognition of face to user, to obtain the identity information of user according to the signal of ordering；
Step S122 judges whether user is new visitor according to the identity information of user；
According to the identity information of user, it can be determined that user is new visitor or frequent customer.If the facial image feature extracted
With the facial image characteristic matching success of the registered client in database, then illustrate that user is frequent customer；It generates and corresponds at this time
Face recognition result, and face recognition result is sent to intelligent recommendation subsystem.Otherwise, illustrate that user is new visitor.
Step S123 sends face information to default payment application and binds inquiry instruction if user is new visitor, with
It is confirmed whether to carry out user the binding of face information in default payment application；
Default payment application includes all kinds of application programs for having network payment function, such as Alipay, wechat, each silver
Row Web bank program etc..If carrying out the binding of face information to user in default payment application, the user is illustrated
Opened the noninductive payment function based on facial image of default payment application.
Step S124, if the binding of face information is carried out to user in default payment application, to default payment
User's portrait information of application program calling and obtaining user；
For example, user does not order coffee in cafe, but paid after its consumption using default payment application
Corresponding user's portrait information can be generated.The user draws a portrait information for portraying user personal consumption relevant to coffee theme
Preference profiles specifically can be all kinds of label informations, as literature and art is young, like sweet food, likes caffe american.
Step S125 generates corresponding face recognition result, when the user for receiving user draws a portrait information for intelligence
Subsystem is recommended to carry out data analysis and canteen recommendation.
After step S124, step S125 is executed.That is, user's portrait information that intelligent recommendation subsystem passes through user
It carries out data analysis and canteen is recommended.
In addition, step S126 can also be performed after step S123: if not default payment application to user into
The binding of row face information then obtains the portrait image of user, to extract the macroscopic features information of user；
For example, user does not order coffee in cafe, do not open yet default payment application based on facial image
Noninductive payment function；At this point, shooting the portrait image of user directly in cafe.In turn, the portrait image of user is carried out
Image recognition, to extract the macroscopic features information of user.Macroscopic features information can specifically include but be not limited to following one kind
It is or a variety of: gender, age, current emotional, hair style, dress ornament.
Step S127 generates corresponding face recognition result according to the macroscopic features information of user, for intelligent recommendation
System carries out data analysis and canteen is recommended.
After step S126, step S127 is executed.That is, intelligent recommendation subsystem passes through the outer of the live user obtained
Looks characteristic information carries out data analysis and canteen is recommended.
In addition, after step s 122, step S128 can also be performed: if user is frequent customer, from presetting database
The middle user's portrait information for obtaining user and record of ordering；
After step S128, step S129 is executed: according to the user of user portrait information and record of ordering, generating corresponding
Face recognition result, so that intelligent recommendation subsystem carries out data analysis and canteen recommendation.
That is, intelligent recommendation subsystem carries out data analysis and canteen by the user's portrait information and record of ordering of user
Recommend.
Three kinds as above preferred refinement schemes can accurately match three classes user, and generate corresponding recognition of face knot
Fruit is conducive to provide precisely effective data to intelligent recommendation subsystem, and then the canteen for improving intelligent recommendation subsystem is recommended
Precision.
When executing step S20, accordingly with three kinds of preferred refinement schemes of above-mentioned steps S12, intelligent recommendation subsystem
System executes the analysis of following three types data:
A1, it is if user is new visitor, and has carried out the binding of face information in default payment application to user, then intelligent
Subsystem is recommended to carry out data analysis based on user's portrait information of user；Based on data analysis result, corresponding canteen is generated
Recommend inventory.
For example, intelligent recommendation subsystem, which is based on user's user's portrait information relevant to coffee theme, carries out canteen recommendation.
Wherein, user's portrait information is that the user applies journey using default payment after other caves or the consumption of other consumption places
Sequence, which carries out payment, can generate corresponding user's portrait information.
B1, it is if user is new visitor, and does not carry out the binding of face information in default payment application to user, then intelligent
Subsystem is recommended to carry out data analysis based on the macroscopic features information of user；Based on data analysis result, corresponding canteen is generated
Recommend inventory.
For example, recommending the coffee category that there is stronger spirit to improve effect if the expression of user is more tired out；If user
Face is sweat more, then recommends cold coffee category.
C1, if user is frequent customer, intelligent recommendation subsystem based on the user of user draw a portrait information and ordering record into
The analysis of row data；Based on data analysis result, generates corresponding canteen and recommend inventory.
For example, information is to like milk, like hot drink if the user of user draws a portrait, and nearly one month coffee consumer record
Mainly latte then recommends latte.
In the present embodiment, terminal of ordering independently completes the recognition of face to the user that has dinner, the face based on collection in worksite
Image accurately judges whether user is new visitor, and is confirmed whether when judging user for new visitor in default payment application
Program carries out the binding of face information to user, to obtain accurate user data.In turn, intelligent recommendation subsystem is based on essence
Quasi- matched related data, predictor closes user's actual need and selects the canteen of preference, and then generates corresponding canteen and recommend
Inventory.So that canteen recommendation is more accurate effectively, it is more in line with the actual demand and preference of user.In addition, based on default
Payment application carries out the confirmation of the face information binding of user as a result, realizing the noninductive payment that user orders, and improves branch
Pay the usage experience of efficiency and user.
Accordingly with above-mentioned intelligent method of ordering, it orders terminal the present invention also provides one kind.It is provided in this embodiment to order
Terminal can mutually be compareed with above-mentioned intelligent method of ordering.As shown in figure 3, the terminal M1 that orders includes:
Face identification unit M10, for detect user order signal when, to user carry out recognition of face；And
Face recognition result is sent to intelligent recommendation subsystem；Wherein, intelligent recommendation subsystem according to the face recognition result into
The analysis of row data generates corresponding canteen and recommends inventory；
Canteen recommends inventory generation unit M11, clear for recommending inventory to generate corresponding canteen recommendation according to the canteen
It is single；
Electronic payment service unit M12, for order terminal receive order instruct when, carry out electronic payment service；
Inventory transmission unit M13, for generating after confirmation electronics is ordered and paid successfully and to the transmission pair of canteen maker
The canteen production inventory answered；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
Terminal of ordering of the invention can push accurately canteen to user and recommend inventory, and realize convenient noninductive electricity
Sub- payment services save ordering and taking for user so that user does not need the complicated very long point list of experience, payment waiting process
Be engaged in the time, improve the convenient degree for consumption of ordering, realize order, canteen production it is unmanned and intelligent.
In addition, the present invention also provides a kind of storage mediums.
Intelligent program of ordering is stored on the storage medium, the intelligence is ordered when program is executed by processor and realized such as
The step of upper described in any item intelligent method of ordering.
The specific embodiment of the unmanned food and beverage sevice equipment of the present invention and storage medium is respectively implemented with above-mentioned intelligent method of ordering
Example is essentially identical, and therefore not to repeat here.
In addition, the present invention also provides a kind of intelligent method of ordering.As shown in Figure 1, intelligence method of ordering of the present invention further includes
Following steps:
Step S60, canteen maker make inventory according to canteen and make canteen；Wherein, terminal of ordering generates and to canteen
Maker sends the canteen and makes inventory；
Step S60 can be executed after above step S50.After terminal of ordering generates canteen production inventory, by pre-
Canteen production inventory is sent to canteen maker equipped with line/wireless transmission method, can specifically use HTTP (HyperText
Transfer Protocol, hypertext transfer protocol) protocol realization canteen production inventory transmission.The type of canteen maker
With no restriction, such as coffee machine, flour stranding machine, soy bean milk making machine etc..
In existing eating and drinking establishment, the cook for generally requiring profession carries out canteen production.In the present embodiment, it realizes
Inventory automated production canteen is made according to canteen by canteen maker, is participated in without cook, to reduce cook
Employ and train expenditure, be advantageously implemented canteen production high standardization, help to improve the unmanned degree of food and beverage sevice,
It cuts operating costs.
Accordingly with above-mentioned intelligent method of ordering, the present invention also provides a kind of canteen makers.Meal provided in this embodiment
Food maker can mutually be compareed with above-mentioned intelligent method of ordering.As shown in Figure 1, the canteen maker according to canteen for making
Inventory makes canteen；Wherein, terminal of ordering, which generates and sends the canteen to canteen maker, makes inventory.
The type of canteen maker with no restriction, such as coffee machine, flour stranding machine, soy bean milk making machine etc..Canteen maker can be real
The automated production of existing canteen is participated in without cook, so that reduces cook employs and train expenditure, is conducive to reality
The high standardization of existing canteen production, helps to improve the unmanned degree of food and beverage sevice, cuts operating costs.
In addition, the present invention also provides a kind of storage mediums.
Intelligent program of ordering is stored on the storage medium, the intelligence is ordered when program is executed by processor and realized such as
The step of upper described in any item intelligent method of ordering.
The specific embodiment of the unmanned food and beverage sevice equipment of the present invention and storage medium is respectively implemented with above-mentioned intelligent method of ordering
Example is essentially identical, and therefore not to repeat here.
In addition, the present invention also provides a kind of intelligent meal ordering systems.As shown in figure 4, the system comprises: terminal of ordering M1,
Intelligent recommendation subsystem M2, canteen maker M3；Wherein,
Terminal of ordering M1, for detect user order signal when, to user carry out recognition of face；
Terminal of ordering M1 is also used to for face recognition result to be sent to intelligent recommendation subsystem M2；Wherein, intelligent recommendation
System M2 generates corresponding canteen and recommends inventory for carrying out data analysis according to the face recognition result, and to end of ordering
It holds M1 to send the canteen and recommends inventory；
Terminal of ordering M1 is also used to that inventory is recommended to generate corresponding canteen according to the canteen to recommend inventory；
Terminal of ordering M1, be also used to receive order instruct when, carry out electronic payment service；
After confirmation electronics is ordered and paid successfully, terminal of ordering M1 is also used to send corresponding meal to canteen maker M3
Food production inventory；Wherein, canteen maker M3 makes canteen for making inventory according to canteen.
The specific embodiment of intelligence meal ordering system of the present invention and each embodiment of above-mentioned intelligent method of ordering are essentially identical, herein
It does not repeat.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, same or similar part may refer to each other between each embodiment.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so describing fairly simple, related place is referring to method item parts
Explanation.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of intelligence method of ordering, which is characterized in that the described method comprises the following steps:
Terminal of ordering detect user order signal when, to user carry out recognition of face；
Face recognition result is sent to intelligent recommendation subsystem by terminal of ordering；Wherein, intelligent recommendation subsystem is according to the people
Face recognition result carries out data analysis, generates corresponding canteen and recommends inventory；
Terminal of ordering shows that the canteen that intelligent recommendation subsystem returns recommends inventory；
Terminal of ordering receive order instruct when, carry out electronic payment service；
After confirmation electronics is ordered and paid successfully, terminal of ordering generates and sends corresponding canteen production clearly to canteen maker
It is single；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
2. intelligence method of ordering as described in claim 1, which is characterized in that the terminal of ordering is detecting ordering for user
When signal, to user carry out recognition of face the step of, specifically include:
Terminal of ordering is in the portrait image for receiving user, signal of ordering described in triggering；
According to the signal of ordering, recognition of face is carried out to user, to obtain the identity information of user, be confirmed whether default
Payment application carries out the binding of face information to user.
3. intelligence method of ordering as claimed in claim 2, which is characterized in that the signal of ordering according to, to user into
Row recognition of face, to obtain the identity information of user, be confirmed whether to carry out face letter to user in default payment application
It the step of binding of breath, specifically includes:
According to the signal of ordering, recognition of face is carried out to user, to obtain the identity information of user；
According to the identity information of user, judge whether user is new visitor；
If user is new visitor, face information is sent to default payment application and binds inquiry instruction, to be confirmed whether to exist
Default payment application carries out the binding of face information to user；
If carrying out the binding of face information to user in default payment application, use is transferred to default payment application
User's portrait information at family；
Receive user user draw a portrait information when, generate corresponding face recognition result, for intelligent recommendation subsystem into
The analysis of row data and canteen are recommended.
4. intelligence method of ordering as claimed in claim 3, which is characterized in that if the user is new visitor, to default payment
Application program sends face information and binds inquiry instruction, to be confirmed whether to carry out face to user in default payment application
After the step of binding of information, further includes:
If not carrying out the binding of face information to user in default payment application, the portrait image of user is obtained, to mention
Take the macroscopic features information at family；
According to the macroscopic features information of user, corresponding face recognition result is generated, so that intelligent recommendation subsystem carries out data
Analysis and canteen are recommended.
The terminal 5. one kind is ordered characterized by comprising
Face identification unit, for detect user order signal when, to user carry out recognition of face；And by face
Recognition result is sent to intelligent recommendation subsystem；Wherein, intelligent recommendation subsystem carries out data according to the face recognition result
Analysis generates corresponding canteen and recommends inventory；
Canteen recommends inventory generation unit, recommends inventory for recommending inventory to generate corresponding canteen according to the canteen；
Electronic payment service unit, for order terminal receive order instruct when, carry out electronic payment service；
Inventory transmission unit, for generating and sending corresponding meal to canteen maker after confirmation electronics is ordered and paid successfully
Food production inventory；Wherein, canteen maker makes inventory according to the canteen and makes canteen.
6. a kind of intelligence method of ordering, which is characterized in that the described method includes:
Canteen maker receives the canteen production inventory that terminal of ordering generates and sends, and makes inventory production meal according to the canteen
Food.
7. a kind of canteen maker, which is characterized in that the canteen maker, which is used to make inventory according to canteen, makes canteen；Its
In, terminal of ordering, which generates and sends the canteen to canteen maker, makes inventory.
8. a kind of intelligence meal ordering system, which is characterized in that the system comprises: terminal of ordering, intelligent recommendation subsystem, canteen system
Make machine；Wherein,
Order terminal, for detect user order signal when, recognition of face is carried out to user；
It orders terminal, is also used to for face recognition result to be sent to intelligent recommendation subsystem；Wherein, intelligent recommendation subsystem is used
In carrying out data analysis according to the face recognition result, generates corresponding canteen and recommend inventory；
It orders terminal, is also used to that inventory is recommended to generate corresponding canteen according to the canteen to recommend inventory；
Order terminal, be also used to receive order instruct when, carry out electronic payment service；
After confirmation electronics is ordered and paid successfully, terminal of ordering is also used to send corresponding canteen production to canteen maker clear
It is single；Wherein, canteen maker makes canteen for making inventory according to canteen.
9. a kind of storage medium, which is characterized in that be stored with intelligence on the storage medium and order program, the intelligence is ordered journey
The step of intelligent method of ordering according to any one of claims 1 to 4 is realized when sequence is executed by processor.
10. a kind of storage medium, which is characterized in that be stored with intelligent program of ordering on the storage medium, the intelligence is ordered
The step of intelligent method of ordering as claimed in claim 6 is realized when program is executed by processor.
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