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 PDF

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Publication number
CN109035633A
CN109035633A CN201810756299.1A CN201810756299A CN109035633A CN 109035633 A CN109035633 A CN 109035633A CN 201810756299 A CN201810756299 A CN 201810756299A CN 109035633 A CN109035633 A CN 109035633A
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menu
dining
customer
guest
portrait
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郑俊彦
杨子霆
陈奕璋
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SHANGHAI GMEGA ELECTRONICS Co Ltd
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SHANGHAI GMEGA ELECTRONICS Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07GREGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00Cash registers
    • G07G1/12Cash registers electronically operated

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  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
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  • General Business, Economics & Management (AREA)
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  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Cash Registers Or Receiving Machines (AREA)

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

A kind of menu push method and system based on image recognition
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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CN110188226A (en) * 2019-04-29 2019-08-30 苏宁易购集团股份有限公司 A kind of customer portrait generation method and device based on recognition of face
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CN109919672A (en) * 2019-02-28 2019-06-21 深圳前海微众银行股份有限公司 Intelligent method of ordering, system, terminal of ordering, canteen maker and storage medium
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CN110163650A (en) * 2019-04-10 2019-08-23 南京诺博灵信息科技有限公司 A kind of food and drink shops marketing method
CN110188226A (en) * 2019-04-29 2019-08-30 苏宁易购集团股份有限公司 A kind of customer portrait generation method and device based on recognition of face
CN110135957A (en) * 2019-05-20 2019-08-16 梁志鹏 A kind of vegetable recommended method, device and the storage medium of intelligent restaurant healthy diet
CN110263956A (en) * 2019-05-20 2019-09-20 平安科技(深圳)有限公司 Dining method, apparatus and computer readable storage medium based on recognition of face
CN110298724A (en) * 2019-05-22 2019-10-01 深圳壹账通智能科技有限公司 It orders recommended method, device, computer equipment and storage medium
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CN110675201A (en) * 2019-10-11 2020-01-10 北京百度网讯科技有限公司 Service information processing method and device
CN114761988A (en) * 2020-03-03 2022-07-15 松下知识产权经营株式会社 Control method, information terminal, program, and recording medium
CN111967942A (en) * 2020-08-20 2020-11-20 渭南双盈未来科技有限公司 Intelligent shopping method
CN116529747A (en) * 2021-08-04 2023-08-01 松下知识产权经营株式会社 Control method and information providing method

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