CN109035633A - A kind of menu push method and system based on image recognition - Google Patents
A kind of menu push method and system based on image recognition Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 47
- 235000013305 food Nutrition 0.000 claims abstract description 33
- 238000012545 processing Methods 0.000 claims abstract description 16
- 235000013311 vegetables Nutrition 0.000 claims description 23
- 235000012054 meals Nutrition 0.000 claims description 14
- 230000000694 effects Effects 0.000 claims description 12
- 235000013361 beverage Nutrition 0.000 abstract description 5
- 235000021108 sauerkraut Nutrition 0.000 description 14
- 235000002568 Capsicum frutescens Nutrition 0.000 description 8
- 241000209094 Oryza Species 0.000 description 8
- 235000007164 Oryza sativa Nutrition 0.000 description 8
- 235000015228 chicken nuggets Nutrition 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 235000015277 pork Nutrition 0.000 description 8
- 235000009566 rice Nutrition 0.000 description 8
- 235000021186 dishes Nutrition 0.000 description 4
- 235000009508 confectionery Nutrition 0.000 description 2
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- 210000000056 organ Anatomy 0.000 description 2
- 235000003563 vegetarian diet Nutrition 0.000 description 2
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- 238000007796 conventional method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 230000035622 drinking Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
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- 238000012216 screening Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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Abstract
The menu push method and system based on image recognition that the invention discloses a kind of, which comprises step S1, the image data of acquisition dining guest, and recognition of face processing is carried out to the image data of acquisition, identify the face characteristic data of dining guest;The face characteristic data of step S2, the dining guest that will identify that are matched with the record in customer's portrait analysis library, generate corresponding personalized menu according to matching result;The personalized menu of generation is exported display by terminal device by step S3;Step S4 receives lower single payment request, and enters step S5 after paying successfully;Step S5 draws a portrait in the customer and deposits record dining guest this dining information in analysis library and drawn a portrait analysis library with updating the customer, and the present invention can promote the efficiency of service and accuracy of food and drink person, effectively save the food and beverage sevice time.
Description
Technical field
The present invention relates to Catering Management technical field, more particularly to a kind of menu push method based on image recognition and
System.
Background technique
Traditional orders generally by the way of artificial, i.e., records the content that guest is put by paper pen by waiter, this
Kind tradition needs attendant back and forth between each dining table using the mode of ordering of paper pen, transmits menu and simultaneously records guest's needs
Menu, order is finally sent to information desk and kitchen and carries out standby dish.
Universal with mobile technology, people's lives rhythm is also more and more fast, traditional artificial mode of ordering without
Method meets requirement of the people to efficiency.Recently occur ordering dishes using handheld device, it is similar with conventional method, only by paper
The order of matter is changed to be recorded by handheld device, and tradition and the mode of ordering using handheld device need to be remembered by attendant
Record will appear undermanned or slow situation of serving in addition the sequence of artificial standby dish is chaotic when eating peak period, thus
Client is caused to feel discontented because the waiting time is too long.
Meanwhile when guest orders dishes, due to weeding out the old and bring forth the new for dining room, people often face increasingly thicker menu,
The vegetable to match with the personal diet information of eater is selected in the numerous vegetables of quantity, and it is many to generally require user's browsing
The vegetable that user does not need, while the choosing meal duration and choosing meal difficulty of eater are also increased, in addition guest is often when ordering dishes
Due in the selection being entangled with, it is also necessary to expend the regular hour, the working efficiency further resulted in dining room reduces, and shows
In some catering systems, there are no a menu push systems that accurate menu can be pushed to different guests, to improve meal
The efficiency of service and service quality in the Room, and improve the dining experience of guest.
On the other hand, in current catering field, the production such as camera, recognition of face and POS hardware device is also used
Product, but in current catering field monitor that pick-up lens is still only merely the effect of monitoring, face identification system, at present
It is more to be only used for gate inhibition's identification;Food and drink POS hardware device is also only prior restaurant service, can not be provided in conjunction with user data
The marketing program of effect, current above-mentioned three is respectively independent, cannot be effective although certain help can be played to restaurant management
The time for saving food and beverage sevice, and effective marketing program cannot be provided in real time, and obtain user in real time according to analyzing, with
Achieve the purpose that precisely to be on sale throughout.
Summary of the invention
In order to overcome the deficiencies of the above existing technologies, purpose of the present invention is to provide a kind of dishes based on image recognition
Single method for pushing and system effectively save the food and beverage sevice time to promote the efficiency of service and accuracy of food and drink person.
In order to achieve the above object, the present invention proposes a kind of menu push method based on image recognition, comprising:
Step S1, the image data of acquisition dining guest, and recognition of face processing, identification are carried out to the image data of acquisition
The face characteristic data of dining guest out;
Step S2, the face characteristic data and customer's portrait for the dining guest that will identify that analyze the record progress in library
Match, corresponding personalized menu is generated according to matching result;
The personalized menu of generation is exported display by terminal device by step S3;
Step S4 receives lower single payment request, and enters step S5 after paying successfully;
Step S5 draws a portrait in the customer and deposits record dining guest this dining information in analysis library to update the Gu
Visitor's portrait analysis library.
Preferably, in step S2, if the face characteristic data of the dining guest identified and customer draw a portrait in analysis library
Data matched, then corresponding personalized menu is generated according to its history record of eating.
Preferably, it is drawn a portrait according to the customer and analyzes the corresponding personal food and drink preference information of dining guest in library to described
Personalized menu is ranked up.
Preferably, in step S2, while generating personalized menu, new product is released in restaurant or new vegetable of releasing is lived
When dynamic, the vegetable activity according to new product or newly released, which generates, recommends menu.
Preferably, it in step S2, when releasing new product or new release vegetable activity, is eaten according to the individual of dining guest
It drinks preference information and generates and recommend menu.
Preferably, in step S2, not having in analysis library if the customer draws a portrait can be with the face of the dining guest identified
Characteristic is able to matched data, then the personalized menu using default menu as the new dining guest.
Preferably, the default menu is businessman according to the pre-set menu of oneself characteristic, or according to all dining
The scoring of guest and menu that the high vegetable of scoring chosen generates.
Preferably, in step S3, while the personalized menu of generation is exported display by terminal device,
The recommendation menu is exported also by the terminal device and is shown.
Preferably, in step S5, if dining guest is patron, record is deposited into this lower unirecord and is drawn in the customer
As in corresponding dining guest's information, if dining guest is new customer, drawing a portrait and being analyzed in library in the customer in analysis library
New record is established, to record the face characteristic data and this lower single Transaction Information of the new customer.
In order to achieve the above objectives, the menu push system based on image recognition that the present invention also provides a kind of, comprising:
Recognition of face processing unit carries out people for acquiring the image data of dining guest, and to the image data of acquisition
Face identifying processing identifies the face characteristic data of dining guest;
Face characteristic matching unit, the face characteristic data of the dining guest for will identify that and customer draw a portrait and analyze library
In record matched, corresponding personalized menu is generated according to matching result;
Menu output unit, for the personalized menu of generation to be exported display by terminal device;
Lower single unit is paid, for receiving lower single payment request, and in starting customer's portrait analysis library after paying successfully
Updating unit is to deposit this dining information of record dining guest;
Customer draw a portrait analysis library updating unit, in the customer draw a portrait analysis library in deposit record dining guest this
Dining information, and analyze it, to update customer's portrait analysis library.
Compared with prior art, a kind of menu push method and system based on image recognition of the present invention pass through acquisition dining
The image data of guest carries out recognition of face processing to the image data of acquisition, identifies the face characteristic data of dining guest,
And the face characteristic data for the dining guest that will identify that are matched with the record in customer's portrait analysis library, are tied according to matching
Fruit generates corresponding personalized menu, and the personalized menu of generation is finally exported display by terminal device, the present invention
Food and drink shops personnel can be saved to order service time, improve efficiency of service, and advantageous Field Force carries out more accurately quotient
Product are promoted, while also saving the time of dining guest, improve the dining experience of dining guest.
Detailed description of the invention
Fig. 1 is a kind of step flow chart of the menu push method based on image recognition of the present invention;
Fig. 2 is a kind of system architecture diagram of the menu push system based on image recognition of the present invention;
Fig. 3 is the flow chart of the menu push based on image recognition in the specific embodiment of the invention.
Specific embodiment
Below by way of specific specific example and embodiments of the present invention are described with reference to the drawings, those skilled in the art can
Understand further advantage and effect of the invention easily by content disclosed in the present specification.The present invention can also pass through other differences
Specific example implemented or applied, details in this specification can also be based on different perspectives and applications, without departing substantially from
Various modifications and change are carried out under spirit of the invention.
Fig. 1 is a kind of step flow chart of the menu push method based on image recognition of the present invention.As shown in Figure 1, this hair
A kind of bright menu push method based on image recognition, comprising:
Step S1, the image data of acquisition dining guest, and recognition of face processing, identification are carried out to the image data of acquisition
The face characteristic data of dining guest out.It, can be by obtaining dining guest's using camera in the specific embodiment of the invention
Image or video flowing, camera may be disposed at the top of each dining table in Counter service top or dining room, when dining guest is in clothes
When business sales counter is lined up or enter dining room when dining table side takes a seat, the camera being disposed above carries out figure to dining guest
Picture or video flowing acquisition first determine whether it with the presence or absence of face, if there is people then to the image of acquisition or video flowing
Face, then further progress face characteristic extracts, such as the position letter of the position of each face, size and each major facial organ
Breath.Since face recognition technology has been existing mature technology, what the present invention utilized is also existing face recognition technology, herein
It will not go into details.
Step S2, the face characteristic data and customer's portrait for the dining guest that will identify that analyze the record progress in library
Match, corresponding personalized menu is generated according to matching result.In the present invention, to pre-establish, i.e., often customer draws a portrait analysis library
After a dining guest completes checkout, then can customer Yu draw a portrait and deposit the related data of record dining guest in analysis library and (generate and go through
History dining records), it is also stored in analysis library preferably, customer draws a portrait and the correspondence of the acquisition dining is recorded and analyzed according to its dining
The personal food and drink preference information of guest.Here personal food and drink preference information may include style of cooking preference information, taste preference information,
Any one in dieting food information and vegetarian diet meat preference information, spending limit or more persons.
Specifically, step S2 further comprises:
Step S200, if the face characteristic data of the dining guest identified are able to the data in customer's portrait analysis library
Matching then illustrates that dining guest is patron, then being eaten to record according to its history generates corresponding personalized menu.Citing comes
It says, if Xiao Wang is the patron in this restaurant, then draws a portrait in the customer and analyze the face characteristic data for having Xiao Wang in library, it is corresponding
Xiao Wang then have its history dining record, such as " 2018/6/12, Triratna meal, 25 yuan ", " 2018/6/13, the Fish with Chinese Sauerkraut, 30 yuan ",
" 2018/6/14, spicy chicken nugget, 26 yuan ", " 2018/6/15, Sichuan-style pork portioned rice bowl, 20 yuan ", " 2018/6/16, the Fish with Chinese Sauerkraut, 30
Member " etc..When one day, Xiao Wang comes the Counter service in this restaurant again, and the camera above Counter service can then collect Xiao Wang
Image, recognition of face processing is carried out to the image of Xiao Wang, after identifying its face characteristic data, then can customer Yu draw a portrait analysis
Matching obtains the history dining record of Xiao Wang in library, generates corresponding personalized menu, such as " Triratna according to history dining note
Meal, 25 yuan, the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan ".Preferably, may be used also in step S200
To be ranked up according to the corresponding personal food and drink preference information of dining guest in customer portrait analysis library to personalized menu,
Such as customer draws a portrait to analyze to be eaten in library according to it and records and analyzes the personal food and drink preference information of the correspondence dining guest obtained
There is " Sichuan cuisine ", " spending limit is 20-30 member " etc. then in step S200, then can be ranked up the vegetable of personalized menu
" the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan, Triratna meal, 25 yuan " as follows.
Preferably, it in step S200, while generating personalized menu, releases new product in restaurant or releases vegetable and live
When dynamic, recommendation menu can also be generated.Such as when new product Fish Filets in Hot Chili Oil are released in this restaurant, then generated according to history dining record
While personalized menu, also generate recommend menu, the recommendation menu then include " Fish Filets in Hot Chili Oil, 26 ".Preferably, when releasing new product
Or when releasing new vegetable activity, generated according to personal food and drink preference information and recommend menu, such as the personal meal of dining guest
Drinking preference is " Sichuan cuisine ", " spending limit is 20-30 member ", it is assumed that the new product of release is " sweet and sour spareribs, 40 yuan ", does not meet the use
Eat guest personal food and drink preference, then be not added into recommendation menu, and if release new product be " Fish Filets in Hot Chili Oil, 28 yuan ", then accord with
The personal food and drink preference for closing dining guest, then be added into recommendation menu.
Step S201 does not have to be able to the face characteristic data of the dining guest identified if customer draws a portrait in analysis library
Matched data then illustrate that dining guest is new customer, then the personalized dish using default menu as the new dining guest
It is single, i.e., to new customer using the menu suggested design of default.Preferably, the default menu can be businessman according to oneself characteristic
Pre-set menu is also possible to the dish that the high vegetable of the scoring chosen according to the scoring of all dining guests generates
Single, invention is not limited thereto.
The personalized menu of generation is exported display by terminal device by step S3.In the specific embodiment of the invention
In, the terminal device can be terminal POS machine, i.e., the personalized menu of the dining guest of generation is shown in terminal in time
In POS machine, so that attendant quickly assists dining guest to order food, by taking Xiao Wang as an example, when in exporting it on terminal POS machine
When personalized menu, i.e., " the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan, Triratna meal, 25 yuan ", if small
The vegetable " the Fish with Chinese Sauerkraut, 30 yuan " of its hobby of Wang Xiang point, then attendant can rapidly assist Xiao Wang to select its ideal vegetable
" the Fish with Chinese Sauerkraut, 30 yuan ", is greatly saved the time of attendant and Xiao Wang, improves the efficiency of food and beverage sevice.Preferably, in step
In rapid S3, while the personalized menu of generation is exported display by terminal device, menu will be recommended also by end
End equipment output display, i.e., it is when the recommendation menu of generation " Fish Filets in Hot Chili Oil, 28 yuan ", recommendation menu and the personalized menu of generation is equal
In being shown on terminal POS machine, then Xiao Wang can soon see the new product for meeting its preference, to decide whether to select new product
It is attempted.
Step S4 receives lower single payment request, and enters step S5 after pay successfully, with deposit record dining guest this
Dining information.
Step S5 draws a portrait in the customer and deposits this dining information of record dining guest in analysis library, such as when dining
Between, this lower unirecord is then deposited record in corresponding dining guest's information, if new if patron by vegetable and price
Customer then establishes new record, records the face characteristic data and this lower single transaction record of the new customer.
Fig. 2 is a kind of system architecture diagram of the menu push system based on image recognition of the present invention.As shown in Fig. 2, this hair
A kind of bright menu push system based on image recognition, comprising:
Recognition of face processing unit 201 is carried out for acquiring the image data of dining guest, and to the image data of acquisition
Recognition of face processing, identifies the face characteristic data of dining guest.It, can be by utilizing camera shooting in the specific embodiment of the invention
Head obtains the image or video flowing of dining guest, and camera may be disposed at the upper of each dining table in above Counter service or dining room
Side, when eating guest and being taken a seat in dining table side when Counter service is lined up or into dining room, the camera shooting that is disposed above
Head carries out image to dining guest or video flowing acquires, and then to the image of acquisition or video flowing, first determines whether it deposits
In face, if there is face, then further progress face characteristic is extracted, such as the position of each face, size and each main
The location information of face organ.Since face recognition technology has been existing mature technology, what the present invention utilized is also existing
Face recognition technology, it will not be described here.
Face characteristic matching unit 202, the face characteristic data and customer's portrait point of the dining guest for will identify that
Record in analysis library is matched, and generates corresponding personalized menu according to matching result.In the present invention, customer, which draws a portrait, analyzes
Library is to pre-establish, i.e., after each dining guest completes checkout, then can deposit record dining guest in customer's Yu portrait analysis library
Related data (i.e. generation history dining record), is also stored in analysis library according to its dining record point preferably, customer draws a portrait
Analyse the personal food and drink preference information of the correspondence dining guest obtained.Here personal food and drink preference information may include style of cooking preference
Any one in information, taste preference information, dieting food information and vegetarian diet meat preference information, spending limit or more persons.
Specifically, face characteristic matching unit 202 further comprises:
First matching result processing unit draws a portrait in the face characteristic data of the dining guest identified and customer and analyzes library
In data when being matched, then illustrate that dining guest is patron, then generate corresponding according to its history record of eating
Property menu.For example, it if Xiao Wang is the patron in this restaurant, then draws a portrait in the customer and analyzes the people for having Xiao Wang in library
Face characteristic, corresponding Xiao Wang's then has its history dining record, such as " 2018/6/12, Triratna meal, 25 yuan ", " 2018/6/
13, the Fish with Chinese Sauerkraut, 30 yuan ", " 2018/6/14, spicy chicken nugget, 26 yuan ", " 2018/6/15, Sichuan-style pork portioned rice bowl, 20 yuan ",
" 2018/6/16, the Fish with Chinese Sauerkraut, 30 yuan " etc..When one day, Xiao Wang comes the Counter service in this restaurant again, above Counter service
Camera can then collect the image of Xiao Wang, carry out recognition of face processing to the image of Xiao Wang, identify its face characteristic data
Afterwards, then can customer's Yu matching in analysis library of drawing a portrait obtain the history dining record of Xiao Wang, according to history eat note generate it is corresponding
Personalized menu, such as " Triratna meal, 25 yuan, the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan ".Preferably
Ground, in step S200, the corresponding personal food and drink preference information of dining guest in the analysis library that can also be drawn a portrait according to the customer
Personalized menu is ranked up, such as customer draws a portrait to analyze to be eaten in library according to it and records and analyzes the correspondence of acquisition dining visitor
The personal food and drink preference information of people has " Sichuan cuisine ", " spending limit is 20-30 member " etc., then, then can be to individual character in step S200
Change menu vegetable be ranked up it is following " the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan, Triratna meal,
25 yuan ".
Preferably, the first matching result processing unit is released new product in restaurant or is pushed away while generating personalized menu
Out when vegetable activity, recommendation menu can also be generated.Such as it when new product Fish Filets in Hot Chili Oil are released in this restaurant, then eats according to history
Record generate personalized menu while, also generate recommend menu, the recommendation menu then include " Fish Filets in Hot Chili Oil, 26 ".Preferably, working as
When releasing new product or releasing new vegetable activity, is generated according to personal food and drink preference information and recommend menu, such as dining guest
Personal food and drink preference be " Sichuan cuisine ", " spending limit be 20-30 member ", it is assumed that the new product of release is " sweet and sour spareribs, 40 yuan ", no
The personal food and drink preference for meeting dining guest, then be not added into recommendation menu, and if release new product be " Fish Filets in Hot Chili Oil, 28
Member ", then meet the personal food and drink preference of dining guest, be then added into recommendation menu.
Second matching result processing unit, customer Yu draw a portrait analysis library in do not have can with identify dining guest face
When characteristic is able to matched data, then illustrate that dining guest is new customer, then using default menu as the new dining
The personalized menu of guest, i.e., to new customer using the menu suggested design of default.Preferably, the default menu can be quotient
It is high to be also possible to the scoring chosen according to the scoring of all dining guests according to the pre-set menu of oneself characteristic for family
The menu that vegetable generates, invention is not limited thereto.
Menu output unit 203, for the personalized menu of generation to be exported display by terminal device.In this hair
In bright specific embodiment, the terminal device can be terminal POS machine, i.e., by the personalized menu of the dining guest of generation and
When be shown on terminal POS machine, so as to attendant quickly assist dining guest order food, by taking Xiao Wang as an example, when in terminal
When exporting its personalized menu in POS machine, i.e., " the Fish with Chinese Sauerkraut, 30 yuan, spicy chicken nugget, 26 yuan, Sichuan-style pork portioned rice bowl, 20 yuan, Triratna
Meal, 25 yuan ", if Xiao Wang wants to select the vegetable " the Fish with Chinese Sauerkraut, 30 yuan " of its hobby, then attendant rapidly can assist Xiao Wang to select
Its ideal vegetable " the Fish with Chinese Sauerkraut, 30 yuan ", is greatly saved the time of attendant and Xiao Wang, improves the effect of food and beverage sevice
Rate.Preferably, while the personalized menu of generation is exported display by terminal device, will be pushed away in step S3
It recommends menu and exports display also by terminal device, i.e., when the recommendation menu of generation " Fish Filets in Hot Chili Oil, 28 yuan ", by the recommendation menu of generation
With personalized menu in being shown on terminal POS machine, then Xiao Wang can soon see the new product for meeting its preference, with certainly
It is fixed whether new product to be selected to be attempted.
Lower single unit 204 is paid, for receiving lower single payment request, and in starting customer's portrait analysis after paying successfully
Library updating unit is to deposit this dining information of record dining guest.
Customer, which draws a portrait, analyzes library updating unit 205, and record dining guest's sheet is deposited in library for drawing a portrait to analyze in the customer
Secondary dining information, and analyze it, to update customer's portrait analysis library, when this dining information is for example eaten
Between, vegetable and price, specifically, if patron, customer's portrait analysis library updating unit 205 then deposits this lower unirecord
It records in corresponding dining guest's information, if new customer, pays lower single unit 204 and then establish new record, record the new customer
Face characteristic data and this lower single transaction record, the customer draws a portrait analysis library updating unit 205 can also be according to newly-increased
Record the personal food and drink preference information of dining guest is analyzed again, it is inclined with the personal food and drink for updating dining guest
Good information.
Fig. 3 is the flow chart of the menu push based on image recognition in the specific embodiment of the invention.As shown in figure 3, this hair
The bright menu push process based on image recognition is as follows:
Recognition of face pick-up lens is arranged in step S1 above Counter service, connects face identification unit, as dining customer
It when Counter service is lined up, is imaged using the pick-up lens, is passed to face identification unit and carries out record storage image
After data, recognition of face is carried out, identifies the face characteristic in the image.
Step S2, carries out the matching of customer's data, i.e., customer Yu, which draws a portrait, analyzes screening or newly-built customer's data in library;
Step S3 generates personalized menu according to matching result, and is sent to dining room POS (Pointofsales) hardware
End.Specifically, the face characteristic that will identify that and customer data in analysis library of drawing a portrait match, if old dining client,
Then analyze the dining image of customer, gender, spending limit, the meal time, hobby, when daily temperature etc., eaten and recorded according to history
Common menu is combined, generates personalized menu, and be sent to dining room POS (Pointofsales) hardware end, if new dining
User is then sent to POS (Pointofsales) using the recommendation dining schemes generation personalized menu of default menu and default
Hardware end;
After step S4, dining room POS (Pointofsales) hardware end receives personalized menu, POS can be changed
(Pointofsales) hardware end reduces display, is opened by counter service personnel in POS (Pointofsales) screen point, is customer
It is single to carry out point, or recommends dining scheme to dining customer instantly.
Step S5, when dining customer's point list completes after closing, dining room POS (Pointofsales) hardware end will eat client
Point list message, the amount of money of checking out, be back to customer and draw a portrait analysis library updating unit, carry out data typing and update.
In conclusion a kind of menu push method and system based on image recognition of the present invention pass through acquisition dining guest's
Image data carries out recognition of face processing to the image data of acquisition, identifies the face characteristic data of dining guest, and will know
Not Chu face characteristic data and the customer record in analysis library of drawing a portrait of dining guest match, generated according to matching result
The personalized menu of generation is finally exported display by terminal device by corresponding personalized menu, and the present invention can save
Province food and drink shops personnel order service time, improve efficiency of service, and advantageous Field Force carries out more accurately product promotion,
The time for also saving dining guest simultaneously improves the dining experience of dining guest.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.Any
Without departing from the spirit and scope of the present invention, modifications and changes are made to the above embodiments by field technical staff.Therefore,
The scope of the present invention, should be as listed in the claims.
Claims (10)
1. a kind of menu push method based on image recognition, comprising:
Step S1, the image data of acquisition dining guest, and recognition of face processing is carried out to the image data of acquisition, identify use
The face characteristic data of meal guest;
The face characteristic data of step S2, the dining guest that will identify that are matched with the record in customer's portrait analysis library,
Corresponding personalized menu is generated according to matching result;
The personalized menu of generation is exported display by terminal device by step S3;
Step S4 receives lower single payment request, and enters step S5 after paying successfully;
Step S5 draws a portrait in the customer and deposits record dining guest this dining information in analysis library and drawn with updating the customer
As analysis library.
2. a kind of menu push method based on image recognition as described in claim 1, it is characterised in that: in step S2,
If the face characteristic data of the dining guest identified are matched with the data in customer's portrait analysis library, according to its history
Dining record generates corresponding personalized menu.
3. a kind of menu push method based on image recognition as claimed in claim 2, it is characterised in that: according to the customer
The corresponding personal food and drink preference information of dining guest is ranked up the personalized menu in portrait analysis library.
4. a kind of menu push method based on image recognition as claimed in claim 3, it is characterised in that: in step S2,
While generating personalized menu, in restaurant release new product or it is new release vegetable activity when, the dish according to new product or newly released
Product activity, which generates, recommends menu.
5. a kind of menu push method based on image recognition as claimed in claim 4, it is characterised in that: in step S2,
When releasing new product or new release vegetable activity, the recommendation dish is generated according to the personal food and drink preference information of dining guest
It is single.
6. a kind of menu push method based on image recognition as described in claim 1, it is characterised in that: in step S2,
In analysis library there is no that matched data can be able to the face characteristic data of the dining guest identified if the customer draws a portrait, adopt
Use default menu as the personalized menu of the new dining guest.
7. a kind of menu push method based on image recognition as claimed in claim 6, it is characterised in that: the default menu
It is businessman according to the pre-set menu of oneself characteristic, or the dish that the scoring chosen according to the scoring of all dining guests is high
The menu that product generate.
8. a kind of menu push method based on image recognition as claimed in claim 5, it is characterised in that: in step S3,
While the personalized menu of generation is exported display by terminal device, by the recommendation menu also by the end
End equipment output display.
9. a kind of menu push method based on image recognition as described in claim 1, it is characterised in that: in step S5,
If dining guest is patron, record corresponding dining guest in customer portrait analysis library is deposited into this lower unirecord and is believed
In breath, if dining guest is new customer, draws a portrait to analyze in library in the customer and establish new record, to record the new customer's
Face characteristic data and this lower single Transaction Information.
10. a kind of menu push system based on image recognition, comprising:
Recognition of face processing unit carries out face knowledge for acquiring the image data of dining guest, and to the image data of acquisition
Other places reason, identifies the face characteristic data of dining guest;
Face characteristic matching unit, the face characteristic data of the dining guest for will identify that and customer draw a portrait in analysis library
Record is matched, and generates corresponding personalized menu according to matching result;
Menu output unit, for the personalized menu of generation to be exported display by terminal device;
Lower single unit is paid, is updated for receiving lower single payment request, and after paying successfully in starting customer's portrait analysis library
Unit is to deposit this dining information of record dining guest;
Customer draws a portrait analysis library updating unit, deposits this dining of record dining guest in analysis library for drawing a portrait in the customer
Information, and analyze it, to update customer's portrait analysis library.
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