CN104021506A - Intelligent restaurant ordering management system and intelligent restaurant ordering management method based on human face recognition technology - Google Patents
Intelligent restaurant ordering management system and intelligent restaurant ordering management method based on human face recognition technology Download PDFInfo
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Abstract
The invention discloses an intelligent restaurant ordering management system based on a human face recognition technology. The intelligent restaurant ordering management system comprises intelligent devices such as a database module, a data processing module, a wireless communication module, an intelligent ordering table in which a touch screen is embedded, a tableware device in which various sensors are embedded, and a cellphone; the intelligent restaurant ordering management system is characterized in that the human face recognition technology, automatic closed-loop feedback control theory and data digging are combined with the intelligent restaurant ordering management system, and the surrounding temperature and humidity of a member are regulated by use of the automatic closed-loop feedback control theory; the identity of the member is identified by use of the human face recognition technology and the basic information of the member is stored; the data digging technology is used for analyzing the data in database and helping the member order food; as a result, a food material buyer can supplement food materials reasonably, and highly targeted service information can be pushed.
Description
Technical field
The present invention relates to a kind of intelligent restaurant based on face recognition technology order management system and method, belong to Catering Management field.
Background technology
Along with developing rapidly of Theory of Automatic Control and electronic technology, tableware can embedded various types of sensors, by closed-loop control system and pid algorithm can be efficiently, rapidly, control as the factor such as temperature, humidity exactly, make it to be stabilized in the direction numerical range of artificial regulation.
The system of face recognition technology comprises man face image acquiring and detection, facial image pre-service, facial image feature extraction and matching and recognition.Recognition of face naturality and the feature of not discovered by tested individuality make it gradually by extensively should with all kinds of systems that discriminate one's identification.As recognition of face antitheft door, the attendance checking system of recognition of face etc.
Data mining generally refers to from a large amount of data and is hidden in the wherein process of information by algorithm search.Its model algorithm is now mature on the whole, its main process comprise data cleansing, data integration, data-switching, data mining, pattern comment help, the representation of knowledge.
Nowadays, seldom have face recognition technology, automatic closed loop evolution of feedback controlling theory, data mining and the intelligent restaurant management system of ordering is combined.Utilize face recognition technology can identify accurately and efficiently membership, be all management can implement basic; Utilize automatic closed loop evolution of feedback controlling theory, can create the food environment for a certain name member the most comfortable; Utilize data mining analysis data, not only can predict recent buying food materials kind and quantity, and can predict vegetable and taste that member has a preference for, improve service quality.
Summary of the invention
The invention provides a kind of intelligent restaurant based on face recognition technology managing method of ordering, filled up the blank that face recognition technology, automatic closed loop evolution of feedback controlling theory, data mining technology combine with bus scheduling.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:
A kind of intelligent restaurant based on face recognition technology management system of ordering, comprise service management system and client terminal, between described service management system and client terminal, be connected by radio communication, described service management system comprises face recognition module, database module, data processing module, wireless communication module; Described client terminal comprises Intelligent table and intelligent mobile terminal; Described face recognition module is based on face recognition technology, and the user's who scans head portrait is processed through corresponding, with the head portrait contrast of member in member database, the identity of authentication of users, and calls corresponding membership information; Described database module comprises member information database, consumer database, attendant's database, vegetable database; Described member information database content comprises member's the Back ground Information such as name, birthday, member's case information etc.; Described consumer database records member's subscription information and current consumption record, as the prediction of checkout consumption certificate and member's eating habit, produces corresponding total mark of consumption; Described attendant's data-base recording attendant's position, function, native place, wage, user evaluate the information such as the grade of service, additional premium; The information such as all menu names, classification, price, popularity and corresponding classical collocation set meal in described vegetable data-base recording dining room, carry out data processing for information being submitted to data processing module; Described data processing module, for the treatment of the current required inventory of executing the task, comprises the tasks such as the service operations that types of databases renewal and maintenance, user ask, and its result is submitted to wireless communication module the most at last; Described wireless communication module is for user end to server application service or the execution result of data processing module is sent to each client; Described Intelligent table comprises entertainment mode, the pattern of ordering, timing mode, charge mode and communication pattern; Described entertainment mode comprises game function and chat feature; The described pattern of ordering is for realizing person's meal or a system pantry; Member's health and fitness information that described system pantry can provide using member information database is as foundation, provide health diet to member, also can be according to consumer database member's consumption, in vegetable database, popularity vegetable is recommended, and comprehensive various situation generating recommendations lists are selected for member; Described timing mode is used for calculating member and waits meal and meal time, and result is submitted to billing function; The result that described charge mode is submitted to according to clocking capability, calculates the final consumption amount of money according to different situations; Described communication function is for comprising communicating by letter between the communication of service management system and client terminal and each client terminal and client terminal; Described intelligent mobile terminal adds non-member's Customer Information to membership information server by the form of sweeping Quick Response Code, and interpolation information comprises name, birthday, mobile-phone payment bill, health condition etc.Described system also comprises intelligent tableware, on described intelligent tableware equipment, is equipped with temperature sensor and humidity sensor; Described temperature sensor for monitor user ' body temp, humidity sensor for monitor user ' periphery humidity situation, according to automatic closed loop negative feedback theory, regulates temperature and humidity automatically; Described game function is divided into solitaire game and multiplayer.
Intelligent restaurant based on the face recognition technology management method of ordering, comprises the following steps:
Step 1, differentiates client's identity by recognition of face, and the membership information of Automatically invoked database module the inside; If client is non-member, can become member by mobile scanning terminal Quick Response Codes such as mobile phones, go to step two;
Whether step 2, determine member predetermined seats in a restaurant according to the booking situation of member in consumer database; If without booking situation and current without room, according to the maximum time calculating required stand-by period of user of every restriction, member can enjoy the service of wait during this period; Otherwise waiter will be correlated with, member delivers to corresponding seats in a restaurant, goes to step three;
Step 3, member selects service by Intelligent table; If the pattern of ordering enters step 4, if entertainment mode enters step 9, otherwise be service mode, attendant provides member required service, member can carry out selectivity scoring to attendant by touch-screen associated button, and automatic update service personnel database;
Step 4, is now the pattern of ordering, and user enters the interface of ordering; If user needs to recommend, system, according to customer consumption record, recalls user Chang Xuan vegetable; Use the association rule mining based on Apriori algorithm, vegetable and the taste of final prediction member preference, and the information such as the member's case providing according to member information database, remove the vegetable that is unfavorable for user's body health, finally release optimum vegetable or set meal and select for member; If user is unsatisfied with recommendation list or without system recommendation function, user can directly order in a traditional way, goes to step five;
Step 5, after user orders successfully, presses acknowledgement key system and starts timing, the meal stage such as enters, and wait is served, and goes to step six; If this stage, user experienced entertainment mode, go to step nine;
Step 6, the result that the service scenario that comprehensive member is suffered and clocking capability are submitted to, calculates in real time member and consumes the amount of money and discount; Go to step seven;
Step 7, the data that detect according to the embedded sensor of intelligent tableware send to Intelligent table, according to automatic closed loop negative feedback theory, automatically regulate member's peripheral temperature, humidity;
Step 8, upgrades member database and consumer database, records the information such as vegetable that member orders, total mark of consumption; After database update, determine the purchase volume of corresponding food materials according to list, jack-up generating report forms at the appointed time, automatically send and SMS notification Merchandising Manager, simultaneously in a certain stipulated time regularly by up-to-date vegetable information pushing to member, taking the important commemoration day of member as benchmark, a circumferential member sends the information such as preferential Securities, popularity cuisines in advance;
Step 9, selects to enter game function or chat feature after entertainment mode, if game two-player game need obtain the laggard row game of both sides' confirmation simultaneously, if solitaire game directly starts solitaire game;
Step 10, user exits rear recording user game records, upgrades member database.
The invention has the beneficial effects as follows: the present invention combines face recognition technology, automatic closed loop evolution of feedback controlling theory, data mining and the intelligent restaurant management system of ordering, utilize face recognition technology can identify accurately and efficiently membership, be all management can implement basic; Utilize automatic closed loop negative feedback control theory, can create the food environment for a certain name member the most comfortable; Utilize data mining analysis data, not only can predict recent buying food materials kind and quantity, and can predict vegetable and taste that member has a preference for, improve service quality.
Brief description of the drawings
Fig. 1 is structural representation of the present invention.
Fig. 2 is the process flow diagram of the inventive method.
Embodiment
Below in conjunction with Figure of description, the invention will be further described.Following examples are only for technical scheme of the present invention is more clearly described, and can not limit the scope of the invention with this.
Fig. 1 is a kind of structural drawing of the dining room management system based on face recognition technology
As shown in Figure 1, a kind of intelligent restaurant based on face recognition technology management system of ordering, comprise service management system and client terminal, between described service management system and client terminal, be connected by radio communication, described service management system comprises face recognition module, database module, data processing module, wireless communication module; Described client terminal comprises Intelligent table and intelligent mobile terminal;
Described face recognition module is based on face recognition technology, and the user's who scans head portrait is processed through corresponding, with the head portrait contrast of member in member database, the identity of authentication of users, and calls corresponding membership information;
Described database module comprises member information database, consumer database, attendant's database, vegetable database; Described member information database content comprises member's the Back ground Information such as name, birthday, member's case information etc.; Described consumer database records member's subscription information and current consumption record, as the prediction of checkout consumption certificate and member's eating habit, produces corresponding total mark of consumption; Described attendant's data-base recording attendant's position, function, native place, wage, user evaluate the information such as the grade of service, additional premium; The information such as all menu names, classification, price, popularity and corresponding classical collocation set meal in described vegetable data-base recording dining room, carry out data processing for information being submitted to data processing module;
Described data processing module, for the treatment of the current required inventory of executing the task, comprises the tasks such as the service operations that types of databases renewal and maintenance, user ask, and its result is submitted to wireless communication module the most at last;
Described wireless communication module is for user end to server application service or the execution result of data processing module is sent to each client;
Described Intelligent table comprises entertainment mode, the pattern of ordering, timing mode, charge mode and communication pattern; Described entertainment mode comprises game function and chat feature; Described game function is divided into solitaire game and multiplayer.The described pattern of ordering is for realizing person's meal or a system pantry; Member's health and fitness information that described system pantry can provide using member information database is as foundation, provide health diet to member, also can be according to consumer database member's consumption, in vegetable database, popularity vegetable is recommended, and comprehensive various situation generating recommendations lists are selected for member; Described timing mode is used for calculating member and waits meal and meal time, and result is submitted to billing function; The result that described charge mode is submitted to according to clocking capability, calculates the final consumption amount of money according to different situations; Described communication function is for comprising communicating by letter between the communication of service management system and client terminal and each client terminal and client terminal;
Described intelligent mobile terminal adds non-member's Customer Information to membership information server by the form of sweeping Quick Response Code, and interpolation information comprises name, birthday, mobile-phone payment bill, health condition etc.
Described system also comprises intelligent tableware, on described intelligent tableware equipment, is equipped with temperature sensor and humidity sensor; Described temperature sensor for monitor user ' body temp, humidity sensor for monitor user ' periphery humidity situation, according to automatic closed loop negative feedback theory, regulates temperature and humidity automatically.
Fig. 2 is a kind of process flow diagram of the dining room managing method based on face recognition technology.
As shown in Figure 2, a kind of intelligent restaurant based on face recognition technology management system of ordering, utilizes said system, comprises the following steps:
Step 1, differentiates client's identity by recognition of face, and the membership information of Automatically invoked database module the inside; If client is non-member, can become member by mobile scanning terminal Quick Response Codes such as mobile phones, go to step two;
Whether step 2, determine member predetermined seats in a restaurant according to the booking situation of member in consumer database; If without booking situation and current without room, according to the maximum time calculating required stand-by period of user of every restriction, member can enjoy the service of wait during this period; Otherwise waiter will be correlated with, member delivers to corresponding seats in a restaurant, goes to step three;
Step 3, member selects service by Intelligent table; If the pattern of ordering enters step 4, if entertainment mode enters step 9, otherwise be service mode, attendant provides member required service, member can carry out selectivity scoring to attendant by touch-screen associated button, and automatic update service personnel database;
Step 4, is now the pattern of ordering, and user enters the interface of ordering; If user needs to recommend, system, according to customer consumption record, recalls user Chang Xuan vegetable; Use the association rule mining based on Apriori algorithm, vegetable and the taste of final prediction member preference, and the information such as the member's case providing according to member information database, remove the vegetable that is unfavorable for user's body health, finally release optimum vegetable or set meal and select for member; If user is unsatisfied with recommendation list or without system recommendation function, user can directly order in a traditional way, goes to step five;
Step 5, after user orders successfully, presses acknowledgement key system and starts timing, the meal stage such as enters, and wait is served, and goes to step six; If this stage, user experienced entertainment mode, go to step nine;
Step 6, the result that the service scenario that comprehensive member is suffered and clocking capability are submitted to, calculates in real time member and consumes the amount of money and discount; Go to step seven;
Step 7, the data that detect according to the embedded sensor of intelligent tableware send to Intelligent table, according to automatic closed loop negative feedback theory, automatically regulate member's peripheral temperature, humidity;
Step 8, upgrades member database and consumer database, records the information such as vegetable that member orders, total mark of consumption; After database update, determine the purchase volume of corresponding food materials according to list, jack-up generating report forms at the appointed time, automatically send and SMS notification Merchandising Manager, simultaneously in a certain stipulated time regularly by up-to-date vegetable information pushing to member, taking the important commemoration day of member as benchmark, a circumferential member sends the information such as preferential Securities, popularity cuisines in advance;
Step 9, selects to enter game function or chat feature after entertainment mode, if game two-player game need obtain the laggard row game of both sides' confirmation simultaneously, if solitaire game directly starts solitaire game;
Step 10, user exits rear recording user game records, upgrades member database.
A kind of intelligent restaurant of face recognition technology management method of ordering, after database update in described step 8, determine the purchase volume of corresponding food materials according to list, jack-up generating report forms at the appointed time, automatically send and SMS notification Merchandising Manager, simultaneously in a certain stipulated time regularly by up-to-date vegetable information pushing to member, taking the important commemoration day of member as benchmark, a circumferential member sends the information such as preferential Securities, popularity cuisines in advance.
The present invention combines face recognition technology, automatic closed loop evolution of feedback controlling theory, data mining and the intelligent restaurant management system of ordering.Utilize face recognition technology can identify accurately and efficiently membership, this be all management can implement basic; Utilize automatic closed loop evolution of feedback controlling theory, can create the food environment for a certain name member the most comfortable; Utilize data mining analysis data, not only can predict recent buying food materials kind and quantity, and can predict vegetable and taste that member has a preference for, improve service quality.
More than show and described ultimate principle of the present invention, principal character and advantage.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that in above-described embodiment and instructions, describes just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (6)
1. the intelligent restaurant based on the face recognition technology management system of ordering, it is characterized in that: comprise service management system and client terminal, between described service management system and client terminal, be connected by radio communication, described service management system comprises face recognition module, database module, data processing module, wireless communication module; Described client terminal comprises Intelligent table and intelligent mobile terminal;
Described face recognition module is based on face recognition technology, and the user's who scans head portrait is processed through corresponding, with the head portrait contrast of member in member database, the identity of authentication of users, and calls corresponding membership information;
Described database module comprises member information database, consumer database, attendant's database, vegetable database; Described member information database content comprises member's the Back ground Information such as name, birthday, member's case information etc.; Described consumer database records member's subscription information and current consumption record, as the prediction of checkout consumption certificate and member's eating habit, produces corresponding total mark of consumption; Described attendant's data-base recording attendant's position, function, native place, wage, user evaluate the information such as the grade of service, additional premium; The information such as all menu names, classification, price, popularity and corresponding classical collocation set meal in described vegetable data-base recording dining room, carry out data processing for information being submitted to data processing module;
Described data processing module, for the treatment of the current required inventory of executing the task, comprises the tasks such as the service operations that types of databases renewal and maintenance, user ask, and its result is submitted to wireless communication module the most at last;
Described wireless communication module is for user end to server application service or the execution result of data processing module is sent to each client;
Described Intelligent table comprises entertainment mode, the pattern of ordering, timing mode, charge mode and communication pattern; Described entertainment mode comprises game function and chat feature; The described pattern of ordering is for realizing person's meal or a system pantry; Member's health and fitness information that described system pantry can provide using member information database is as foundation, provide health diet to member, also can be according to consumer database member's consumption, in vegetable database, popularity vegetable is recommended, and comprehensive various situation generating recommendations lists are selected for member; Described timing mode is used for calculating member and waits meal and meal time, and result is submitted to billing function; The result that described charge mode is submitted to according to clocking capability, calculates the final consumption amount of money according to different situations; Described communication function is for comprising communicating by letter between the communication of service management system and client terminal and each client terminal and client terminal;
Described intelligent mobile terminal adds non-member's Customer Information to membership information server by the form of sweeping Quick Response Code, and interpolation information comprises name, birthday, mobile-phone payment bill, health condition etc.
2. a kind of intelligent restaurant based on face recognition technology according to claim 1 management system of ordering, is characterized in that: described system also comprises intelligent tableware, on described intelligent tableware equipment, is equipped with temperature sensor and humidity sensor; Described temperature sensor for monitor user ' body temp, humidity sensor for monitor user ' periphery humidity situation, is sent to user's intelligent mobile terminal.
3. a kind of intelligent restaurant based on face recognition technology according to claim 1 management system of ordering, is characterized in that: described game function is divided into solitaire game and multiplayer.
4. the management method of ordering of the intelligent restaurant based on face recognition technology, is characterized in that utilizing the system described in claim 1, comprises the following steps:
Step 1, differentiates client's identity by recognition of face, and the membership information of Automatically invoked database module the inside; If client is non-member, can become member by mobile scanning terminal Quick Response Codes such as mobile phones, go to step two;
Whether step 2, determine member predetermined seats in a restaurant according to the booking situation of member in consumer database; If without booking situation and current without room, according to the maximum time calculating required stand-by period of user of every restriction, member can enjoy the service of wait during this period; Otherwise waiter will be correlated with, member delivers to corresponding seats in a restaurant, goes to step three;
Step 3, member selects service by Intelligent table; If the pattern of ordering enters step 4, if entertainment mode enters step 9, otherwise be service mode, attendant provides member required service, member can carry out selectivity scoring to attendant by touch-screen associated button, and automatic update service personnel database;
Step 4, is now the pattern of ordering, and user enters the interface of ordering; If user needs to recommend, system, according to customer consumption record, recalls user Chang Xuan vegetable; Use the association rule mining based on Apriori algorithm, vegetable and the taste of final prediction member preference, and the information such as the member's case providing according to member information database, remove the vegetable that is unfavorable for user's body health, finally release optimum vegetable or set meal and select for member; If user is unsatisfied with recommendation list or without system recommendation function, user can directly order in a traditional way, goes to step five;
Step 5, after user orders successfully, presses acknowledgement key system and starts timing, the meal stage such as enters, and wait is served, and goes to step six; If this stage, user experienced entertainment mode, go to step nine;
Step 6, the result that the service scenario that comprehensive member is suffered and clocking capability are submitted to, calculates in real time member and consumes the amount of money and discount; Go to step seven;
Step 7, the data that detect according to the embedded sensor of intelligent tableware send to Intelligent table, according to automatic closed loop negative feedback theory, automatically regulate member's peripheral temperature, humidity;
Step 8, upgrades member database and consumer database, records the information such as vegetable that member orders, total mark of consumption;
Step 9, selects to enter game function or chat feature after entertainment mode;
Step 10, user exits rear recording user game records, upgrades member database.
5. the intelligent restaurant of a kind of face recognition technology according to claim 3 management method of ordering, it is characterized in that: in described step 9, if game two-player game need obtain the laggard row game of both sides' confirmation simultaneously, if solitaire game directly starts solitaire game.
6. the intelligent restaurant of a kind of face recognition technology according to claim 3 management method of ordering, it is characterized in that: after the database update in described step 8, determine the purchase volume of corresponding food materials according to list, jack-up generating report forms at the appointed time, automatically send and SMS notification Merchandising Manager, simultaneously in a certain stipulated time regularly by up-to-date vegetable information pushing to member, taking the important commemoration day of member as benchmark, a circumferential member sends the information such as preferential Securities, popularity cuisines in advance.
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