CN211149511U - Unmanned cafeteria system - Google Patents
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- CN211149511U CN211149511U CN201922017903.1U CN201922017903U CN211149511U CN 211149511 U CN211149511 U CN 211149511U CN 201922017903 U CN201922017903 U CN 201922017903U CN 211149511 U CN211149511 U CN 211149511U
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Abstract
The utility model provides an unmanned cafeteria system relates to food and beverage service technical field, can realize self-service settlement and payment, promotes user experience to reduce the human resource cost. The specific technical scheme is as follows: when a target user reaches a restaurant entrance, user identity recognition equipment acquires identity information comprising a payment account of the target user; after a target user enters a restaurant, monitoring all behavior information of the target user from entering the restaurant to leaving the restaurant in real time by the monitoring equipment, and sending a monitoring picture containing all behavior information of the target user to the server; the server identifies at least one of the shape of each container, the color of the container, the type of the commodities to be sold and the number of the commodities to be sold taken by the target user according to the monitoring picture sent by the monitoring equipment, and calculates the total consumption amount of all the commodities taken according to corresponding price information; the settlement device deducts the amount of money same as the total consumption amount from the payment account number of the target user.
Description
Technical Field
The disclosure relates to the technical field of catering services, in particular to an unmanned cafeteria system.
Background
At present, in the catering industry, weighing type cafeterias are commonly used in colleges and enterprises, customers select dishes according to their own preferences, and service personnel weigh and punch a card to deduct fees after the selection is finished. However, there are many problems in weighing cafeterias, in that the prices of all dishes are the same, manual weighing requires queuing, congestion may occur during peak hours, and in addition, the cost of human resources for enterprises is increased.
SUMMERY OF THE UTILITY MODEL
The embodiment of the disclosure provides an unmanned cafeteria system, which can realize self-service settlement and payment, improve user experience and reduce human resource cost. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided an unmanned cafeteria system in which a plurality of cabinets are provided, the unmanned cafeteria system comprising: the system comprises user identity identification equipment, a video monitoring system, settlement equipment, a server and a memory, wherein the server is respectively in communication connection with the user identity identification equipment, the video monitoring equipment, the settlement equipment and the memory;
the video monitoring system comprises a plurality of monitoring devices, the monitoring devices are arranged at the top and the periphery of the restaurant, commodities to be sold are placed in each dining cabinet, and part or all of the commodities to be sold are placed in containers with different shapes and/or different colors; at least one of price information for each commodity to be sold, price information for each color of container, and price information for each shape of container is stored in the memory.
In one embodiment, when a target user reaches a restaurant entrance, a user identification device acquires identity information including a payment account of the target user; after a target user enters a restaurant, monitoring all behavior information of the target user from entering the restaurant to leaving the restaurant in real time by the monitoring equipment, and sending a monitoring picture containing all behavior information of the target user to the server; the server identifies at least one of the shape of each container taken by the target user, the color of each container, the type of the commodities to be sold and the number of the commodities to be sold according to the monitoring picture sent by the monitoring equipment, and calculates the total consumption amount of all the taken commodities according to corresponding price information; the settlement device deducts the amount of money same as the total consumption amount from the payment account number of the target user.
According to the method and the device, the consumption amount is automatically calculated through the prestored price information based on the color and the shape of the container of the commodity to be sold taken by the user and the type and the number of the commodity to be sold, so that the problem that the price of the existing dishes is the same is solved; meanwhile, the user identity information and the payment account are bound with each other, and consumption settlement is completed by code scanning consumption or password-free automatic deduction after the user takes the food, so that the consumption operation of the user is greatly facilitated.
In one embodiment, the unmanned cafeteria system further comprises: the entrance guard's device, entrance guard's device sets up the access & exit at the dining room, and entrance guard's device guides the user to get into or leave the dining room when detecting the user, entrance guard's device will unmanned cafeteria forms a closed place.
In one embodiment, the video surveillance system is also used to count the traffic in the restaurant and to monitor the consumption of each item for sale.
In one embodiment, the unmanned cafeteria system further comprises: the management terminal is in communication connection with the server; the management terminal inquires and accesses the server and the memory in real time to acquire various information of the restaurant, and carries out remote processing on abnormal conditions sent by the server.
In one embodiment, the unmanned cafeteria system further comprises: the temperature sensor and the heat retainer are arranged at the bottom of each cupboard and are respectively connected with the server;
the temperature sensor sends the detected temperature of the cupboard to the server; the server detects whether the temperature of the cupboard meets a preset temperature range or not, and sends a heating instruction or a refrigerating instruction to the heat retainer when the temperature of the cupboard does not meet the preset temperature range; and the heat retainer heats according to the heating instruction or refrigerates according to the refrigerating instruction.
In one embodiment, the user identification equipment comprises a scanning device and an identification device, wherein the scanning device is in communication connection with the identification device;
scanning the identification code in the mobile terminal of the target user by the scanning device; and the identification device identifies the identification code to obtain the identification information of the target user.
In one embodiment, when the balance in the payment account of the target user is insufficient, the settlement device is used for scanning the payment two-dimensional code to deduct the fee, or scanning the face information of the user to deduct the fee from a third-party payment platform bound with the face information.
In one embodiment, price information of the product for sale, price information corresponding to the container of each color, and price information corresponding to the container of each shape stored in the memory are entered by data initialization.
In one embodiment, a target user sets the number of dinning people through a mobile terminal before dinning, and after acquiring the identity information of the target user, a user identity recognition system allows dinning people with the same number as the set number of dinning people to enter a restaurant together, wherein the dinning people comprise the target user; after all diners finish taking the meal, the server calculates the total consumption amount of all diners, and the settlement device deducts the sum of money which is the same as the total consumption amount of all diners from the payment account number of the target user.
In one embodiment, the unmanned cafeteria system further comprises: the display device is arranged in the settlement area and is in communication connection with the server;
and during settlement, the server sends consumption information of the target user to display equipment for displaying, wherein the consumption information comprises the type of the commodity to be sold selected by the target user, the corresponding price information and the total consumption amount.
In one embodiment, the unmanned cafeteria system further comprises: the dinner plate and the dinner plate scanning device are used by a user, and a bar code is arranged on the dinner plate;
when the user takes the dinner plate at dinner, the dinner plate scanning equipment scans the bar code arranged at the bottom of the dinner plate and sends the bar code to the server, and the server binds the identity information of the user with the dinner plate taken.
In one embodiment, the server matches the user identity information identified by the user identity identification device with the identity information stored in the memory, obtains historical dining information of the user, generates recommendation information of the user according to the historical dining information of the user and goods to be sold, and sends the recommendation information to the display device for display.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram of an unmanned cafeteria system according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an unmanned cafeteria system according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an unmanned cafeteria system according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
An embodiment of the present disclosure provides an unmanned cafeteria system, as shown in fig. 1, including: the system comprises user identification equipment 101, a video monitoring system 102, settlement equipment 103, a server 104 and a memory 105, wherein the server 105 is respectively in communication connection with the user identification equipment 101, the video monitoring system 102, the settlement equipment 103 and the server 104; the memory 105 may be built in the server 104, or may be provided separately from the server 104. According to the unmanned cafeteria system shown in fig. 1, specifically:
the video monitoring system comprises a plurality of monitoring devices, the monitoring devices are arranged at the top and the periphery of the restaurant, commodities to be sold are placed in each dining cabinet arranged in the unmanned self-service restaurant, and part or all of the commodities to be sold are placed in containers of different shapes and/or different colors; at least one of price information of each commodity to be sold, price information corresponding to containers of each color and price information corresponding to containers of each shape is stored in the memory;
when a target user reaches a restaurant entrance, user identity recognition equipment acquires identity information comprising a payment account of the target user; after a target user enters a restaurant, monitoring all behavior information of the target user from entering the restaurant to leaving the restaurant in real time by the monitoring equipment, and sending a monitoring picture containing all behavior information of the target user to the server; the server identifies at least one of the shape of each container, the color of each container, the type of the commodities to be sold and the number of the commodities to be sold taken by the target user according to the monitoring picture sent by the monitoring equipment, and calculates the total consumption amount of all the commodities taken according to corresponding price information; the settlement device deducts the amount of money same as the total consumption amount from the payment account number of the target user.
It should be noted that the container in which the goods to be sold are placed is used to indicate a container for holding a serving of food, and the container may be a dish, a bowl, or the like. In the embodiment of the present disclosure, the commodities to be sold include commodities to be sold that need to be held in a container (e.g., various processed dishes) and commodities to be sold that need not be held in a container (e.g., fruits such as apples and bananas, or directly edible vegetables), and of course, the commodities to be sold that need not be held in a container may be placed on the container. For the goods to be sold which need to be contained in the container or the goods to be sold which do not need to be contained in the container, at least one of the shape of the container, the color of the container and the type of the goods to be sold needs to be identified; for the commodities to be sold which are not required to be contained in the container, the type and the number of the commodities to be sold need to be identified, for example, when apples, bananas and eggs are taken, the type and the number of the commodities to be sold need to be identified.
In an embodiment of the present disclosure, a user identification device includes: a scanning device and a recognition device; the scanning device is used for scanning the identification code in the mobile terminal of the target user, and the identification device is used for identifying the identification code to obtain the identification information of the target user. It should be noted that the target user is any user who is ready to enter the restaurant for eating, the present disclosure is only an example of the target user to illustrate the eating process of the target user, and the target does not represent any limitation.
For example, the unmanned cafeteria has a professional application software (APP) matched for use, each user can download the special application software matched for use with the unmanned cafeteria into a mobile terminal (such as a mobile phone, a tablet computer and the like), and the user registers an account in the application software and associates the application software with payment software or a payment account; or each user can download payment software (such as WeChat/Paibao/cloud flash payment/bank APP) into the mobile terminal, a small program matched with the unmanned cafeteria for use is embedded into the payment software, and an account is registered in the payment software, so that the registration information and the payment information of each user can be bound, and the special application software (APP) or the payment software is internally provided with user registration information and electronic payment information, including user identity information, bank account information, payment passwords, human face characteristics, fingerprint information and the like. After registration is complete, the identity information for each user is stored in memory.
Taking application software as an example, application software (APP) in a mobile terminal of a user can generate a two-dimensional code, identity information and the like of the user are stored in the two-dimensional code, when a certain user needs to enter an unmanned cafeteria for dining, the two-dimensional code generated by the application software is over against a scanning part of user identity recognition equipment, the user identity recognition equipment decodes the two-dimensional code after scanning the code, a decoding result is transmitted to a server, if the two-dimensional code is identifiable and the identified identity information is matched with identity information stored in a memory in advance, the identity of the user is determined to be legal, and the user is allowed to enter the restaurant.
Of course, the user identification device may further include: face identification module, fingerprint identification module. When a user needs to enter a restaurant for dining, a face recognition module in the user identity recognition system can scan the face to acquire the face features of a target user and acquire the identity information of the target user according to the face features of the target user; or when the target user needs to enter the restaurant for dining, the fingerprint identification module in the user identity identification system acquires the fingerprint information of the target user, and acquires the identity information of the target user according to the fingerprint information of the target user.
According to the unmanned cafeteria system, when a user enters a restaurant to eat, the user identity recognition equipment at the entrance of the restaurant recognizes the identity information of the user and sends the identity information to the server for storage, the user takes a dinner plate to select a favorite commodity to be sold from the dining cabinet, after the user takes the commodity to be sold from the dining cabinet, the monitoring equipment sends a monitoring picture of the commodity to be sold taken by the user to the server, the server analyzes the monitoring picture to obtain at least one of the shape of a container taken by the user, the color of the container, the type of the commodity to be sold and the number of the commodity to be sold, further, the consumption amount of the commodity to be sold is obtained according to the price information stored in the memory, and the total consumption amount of all the taken commodities is calculated after the user finishes taking the meal; and when settlement is carried out, consumption information is sent to the mobile terminal of the target user, wherein the consumption information comprises but is not limited to the type and corresponding price information of the commodity to be sold selected by the user, the color of the container, the shape of the container, the total consumption amount and the like, so that the user can clearly know the consumption condition of the meal. When the user finishes taking the meal for settlement, the settlement equipment can directly deduct the amount of the meal from the payment account corresponding to the user.
The identification of the server according to the monitoring picture specifically comprises the following steps: if the server can identify the color of the container taken by the user, calculating the cost according to the price information corresponding to the color of the container; if the server can identify the shape of the container taken by the user, carrying out expense settlement according to the price information corresponding to the shape of the container; and if the server can identify the types and the number of the commodities to be sold in the container taken by the user, calculating the cost according to the price information corresponding to the commodities to be sold. In the disclosed embodiment, when the color of the container is recognized, the shape of the container and the type of the commodity to be sold do not need to be recognized; when the shape of the container is recognized, the color of the container and the type of the commodity to be sold do not need to be recognized; when the type of the commodity to be sold is identified, the color of the container and the shape of the container do not need to be identified; of course, the color of the container, the shape of the container, the type of the product to be sold, and the number of the products to be sold may be identified in combination, that is, two or three of the color of the container, the shape of the container, the type of the product to be sold, and the number of the products to be sold may be identified, which is implemented according to the actual situation, and the present disclosure does not limit this.
Note that price information of the product to be sold, price information corresponding to the container of each color, and price information corresponding to the container of each shape stored in the memory are entered by data initialization, because the daily dishes, fruits, and the like in the restaurant change, or the products to be sold stored in the containers of different colors change daily, or the price information corresponding to the containers of each shape changes or is adjusted depending on the price of the product to be sold, or the like.
In addition, the video monitoring system in the unmanned self-service restaurant system comprises a plurality of monitoring devices, and the video monitoring system not only can monitor all behavior information of the user from entering to leaving the restaurant, but also can monitor the flow of people in the restaurant, the consumption condition of each commodity to be sold and the like.
For example, after the user enters a restaurant, the monitoring device may perform video target recognition and tracking (or face recognition) on the user, perform tracking and recording on behavior information of the user, and monitor whether the user has abnormal behavior in real time. As another example, the monitoring device may monitor the flow of people in the whole restaurant, and when it is detected that the flow of people exceeds a preset threshold, send people flow saturation information to the server, and the server controls the opening and closing of the access control device according to the people flow saturation information, or push the people flow saturation information to the display device, so that the user avoids peak dining time and reasonably selects dining time. In another exemplary embodiment, the monitoring device may monitor the consumption of each commodity to be sold in the whole restaurant, so that kitchen staff can conveniently check the consumption of the dishes in real time by monitoring the display screen, the mobile terminal and the like, so as to replenish the dishes in time.
Based on the above-mentioned unmanned cafeteria system shown in fig. 1, referring to fig. 2, the unmanned cafeteria system may further include: a door guard 106, a management terminal 107, a display device 108, a temperature sensor (not shown in fig. 2), and a warmer (not shown in fig. 2).
The entrance guard device 106 is provided at an entrance of a restaurant, and guides a user to enter or leave the restaurant when the user is detected. By arranging the access control device, the unmanned cafeteria can form a relative closed space. For example, referring to fig. 3, the unmanned cafeteria is provided with an entrance and an exit, the entrance and the exit are respectively provided with an entrance guard device, the entrance guard device at the entrance of the user is provided with a sensing device, such as an infrared sensor, etc., and when the user enters the cafeteria, the entrance guard device senses that someone has passed through the entrance guard and then automatically closes the entrance guard. When the user finishes settlement and leaves the restaurant, the entrance guard device at the exit of the user senses that a person approaches the entrance guard device from the inside of the restaurant, the entrance guard device can be automatically opened, and after the user leaves the restaurant, the entrance guard device senses that the person passes through the entrance guard and then is automatically closed. When the user enters the restaurant, a video surveillance system (such as the camera 102 shown in FIG. 3) located at the top or around the restaurant video tracks the user.
In an embodiment of the present disclosure, the user identification device may be disposed in front of the access control apparatus, that is, the user identification information is obtained first, the server matches the user identification information identified by the user identification device with the identity information pre-stored in the memory, and when the user identification is verified to be legal, the access control apparatus is opened to allow the user to enter the restaurant.
In one embodiment, a target user can set the number of dinning people through a mobile terminal before dinning, and after the user identity recognition equipment acquires the identity information of the target user, the user identity recognition equipment allows the dinning people with the same number as the set number of dinning people to enter a restaurant together, wherein the dinning people comprise the target user; after all diners finish taking the meal, the server calculates the total consumption amount of all diners, and the settlement device deducts the sum of money which is the same as the total consumption amount of all diners from the payment account number of the target user. If the target user sets the number of dinning people in the mobile terminal to be 4, the user identity recognition device recognizes the two-dimensional code of the mobile terminal of the target user, the two-dimensional code comprises the identity information of the target user and the number of dinning people, the access control device allows 4 dinning people to carry out dinning according to the number of dinning people, the consumption amount of each dinning person is charged according to the description, and the total consumption amount of all dinning people is deducted from the payment account number of the target user.
In addition, the memory can store the dining information of each dining person, and the dining information comprises each dining time, selected commodities and the like, so that after a user enters the dining room, the server matches the user identity information identified by the user identity identification device with the identity information stored in the memory to obtain historical dining information of the user, generates recommended information of the user according to the historical dining information of the user and the current commodities to be sold, and sends the recommended information to the display device for display. Of course, if the user downloads the application program of the unmanned cafeteria, the recommendation information may also be sent to the terminal device corresponding to the user. It should be noted that there may be a plurality of display devices of the unmanned cafeteria, and the display screen corresponding to the recommendation information may be independently set around the user identification device or may be built in the user identification device.
For the temperature sensor and the heat retainer, the temperature sensor and the heat retainer are arranged at the bottom of the dining cabinet and are respectively connected with the server; the temperature sensor is used for detecting the temperature of the dining cabinet and sending the temperature to the server; the server is used for detecting whether the temperature of the cupboard meets a preset temperature range or not, and sending a heating instruction or a refrigerating instruction to the heat retainer when the temperature of the cupboard does not meet the preset temperature range; the heat retainer is used for heating according to the heating instruction or refrigerating according to the refrigerating instruction. In this way, the temperature sensor and the heat retainer can keep the commodity to be sold within a preset range. For example, if the commodity to be sold in the container of the meal cabinet is hot dishes, the temperature sensor sends a heating instruction to the heat retainer when detecting that the temperature of the meal cabinet is lower than a preset temperature, and the heat retainer heats according to the heating instruction until the preset temperature range is met; if the commodities to be sold in the container of the cupboard are beef and mutton rolls, ice cream and other commodities, the temperature sensor sends a refrigeration instruction to the heat retainer when detecting that the temperature of the cupboard is higher than a preset temperature, and the heat retainer refrigerates according to the refrigeration instruction until the preset temperature range is met.
And for the management terminal, the management terminal is in communication connection with the server and is used for inquiring and accessing the server and the memory so as to acquire various information of the restaurant. The management terminal can be a smart phone, a Pad, a PC, a notebook computer and the like. For example: the management terminal can download the APP of the unmanned self-service restaurant, and inquire which commodities to be sold on the same day and the unit price information of each commodity to be sold through the access server and the memory, and inquire whether the passenger flow of the current restaurant is saturated or not. Of course, if the user of the management terminal is a manager, the manager can remotely handle the restaurant abnormal condition sent by the server through the management terminal.
The display equipment can be independent or built in the settlement equipment, and when the user finishes taking meals to settle accounts, the server sends the consumption information of the user to the display equipment to display, so that the user can know the consumption condition in time.
Based on the unmanned cafeteria, a user downloads a professional application program of the unmanned cafeteria to the mobile terminal, and the user registers an account in the application software and associates the account with payment software or a payment account, wherein the registered account comprises user identity information, fingerprint information, facial features and the like.
Before the user enters the restaurant to eat, the number of dining people is set in the application program in the mobile terminal. In the embodiment of the present disclosure, one two-dimensional code is default to correspond to one diner, and if the two-dimensional code needs to correspond to multiple diners, the number of the diners needs to be set in the application program.
When a user enters a restaurant for eating, the user identity recognition equipment recognizes the two-dimensional code generated by the application software, analyzes the two-dimensional code to obtain user identity information, and after the server checks the user identity, the entrance guard device at the entrance is opened to allow the users with the same number as the number of eating people in the application program to enter the restaurant. In the embodiment of the disclosure, when the user identification device identifies the two-dimensional code of the user, the time point for identifying the two-dimensional code is recorded, meanwhile, the video monitoring system also performs video target identification and tracking on the user entering the restaurant in real time, the time point is recorded while the target identification and tracking is performed, and the server binds the target user (possibly one or more people) in the video image with the user marked by the two-dimensional code according to the time point, so that the user behavior is always tracked and recorded by using a video image technology, and the behavior of the user for taking dishes is associated with the two-dimensional code.
When a user takes a commodity to be sold from a dining cabinet in the taking process, the monitoring equipment sends a monitoring picture of the commodity to be sold taken by the user to the server, and records the time for taking the container by the user; in addition, the video monitoring system can track videos of the user in real time, so that the user can know that the user takes the commodity to be sold from a certain dining cabinet at a certain time through an image processing technology, and the server records the commodity to be sold taken by the user into a consumption list of the user. Meanwhile, the server analyzes the monitoring picture to obtain the shape of the container taken by the user, the color of the container, the type of the goods to be sold and the number of the goods to be sold, further, the consumption amount of the goods to be sold is obtained according to the price information stored in the memory, the total consumption amount of all the taken goods is calculated after the user finishes taking, and the consumption information is sent to the mobile terminal of the user, wherein the consumption information comprises but is not limited to the type of the goods to be sold selected by the user and the corresponding price information, the color of the container, the shape of the container, the total consumption amount and the like, and therefore the user can clearly know the consumption condition of the meal. When the user finishes taking the meal for settlement, the settlement equipment can directly deduct the amount of the meal from the payment account corresponding to the user.
Certainly, if the balance on the payment account of the user is insufficient, the payment two-dimensional code corresponding to the user can be scanned to deduct the fee, the face features of the user can also be scanned to deduct the fee from a third-party payment platform bound with the face features, and the settlement device sends the payment information to the server after acquiring the payment information of the user. Further, the user may use a coupon, a discount roll, or the like, and the total amount the user needs to pay is the sum of the products of the unit prices of the various commodities and the taken weight minus the amount of the coupon and/or the amount of the discount.
The embodiment of the disclosure provides an unmanned cafeteria system, which automatically calculates the consumption amount through the prestored price information based on the color and shape of a container of goods to be sold taken by a user and the type and number of the goods to be sold, thereby solving the problem that the price of the existing dishes is the same; meanwhile, the user identity information and the payment account are bound with each other, and consumption settlement is completed by code scanning consumption or password-free automatic deduction after the user takes the food, so that the consumption operation of the user is greatly facilitated.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. An unmanned cafeteria system, said unmanned cafeteria having a plurality of cabinets disposed therein, comprising: the system comprises user identity identification equipment, a video monitoring system, settlement equipment, a server and a memory, wherein the server is respectively in communication connection with the user identity identification equipment, the video monitoring equipment, the settlement equipment and the memory;
the video monitoring system comprises a plurality of monitoring devices, the monitoring devices are arranged at the top and the periphery of the restaurant, commodities to be sold are placed in each cupboard, and part or all of the commodities to be sold are placed in containers with different shapes and/or different colors; at least one of price information for each commodity to be sold, price information for each color of container, and price information for each shape of container is stored in the memory.
2. The unmanned cafeteria system of claim 1,
when a target user reaches a restaurant entrance, user identity recognition equipment acquires identity information comprising a payment account of the target user; after a target user enters a restaurant, monitoring all behavior information of the target user from entering the restaurant to leaving the restaurant in real time by the monitoring equipment, and sending a monitoring picture containing all behavior information of the target user to the server; the server identifies at least one of the shape of each container taken by the target user, the color of each container, the type of the commodities to be sold and the number of the commodities to be sold according to the monitoring picture sent by the monitoring equipment, and calculates the total consumption amount of all the taken commodities according to corresponding price information; the settlement device deducts the amount of money same as the total consumption amount from the payment account number of the target user.
3. The unmanned cafeteria system of claim 1, further comprising: the entrance guard's device, entrance guard's device sets up the access & exit at the dining room, and entrance guard's device guides the user to get into or leave the dining room when detecting the user, entrance guard's device will unmanned cafeteria forms a closed place.
4. The unmanned cafeteria system of claim 1, further comprising: the management terminal is in communication connection with the server;
the management terminal inquires and accesses the server and the memory in real time to acquire various information of the restaurant, and carries out remote processing on abnormal conditions sent by the server.
5. The unmanned cafeteria system of claim 1, further comprising: the temperature sensor and the heat retainer are arranged at the bottom of each cupboard and are respectively connected with the server;
the temperature sensor sends the detected temperature of the cupboard to the server; the server detects whether the temperature of the cupboard meets a preset temperature range or not, and sends a heating instruction or a refrigerating instruction to the heat retainer when the temperature of the cupboard does not meet the preset temperature range; and the heat retainer heats according to the heating instruction or refrigerates according to the refrigerating instruction.
6. The unmanned cafeteria system of claim 1, wherein said user identification device comprises a scanning means and an identification means, said scanning means and said identification means being communicatively connected;
the scanning device scans the identification code in the mobile terminal of the target user; and the identification device identifies the identification code to obtain the identification information of the target user.
7. The unmanned cafeteria system of claim 1, wherein when the balance in the payment account of the target user is insufficient, the settlement device scans the payment two-dimensional code to deduct the fee, or scans the face information of the user to deduct the fee from a third party payment platform bound with the face information.
8. The unmanned cafeteria system of claim 1, wherein price information of goods for sale, price information corresponding to containers of each color, price information corresponding to containers of each shape stored in said memory are entered by data initialization.
9. The unmanned cafeteria system of claim 1, wherein the target user sets the number of diner people through the mobile terminal before diner, the user identification system allows the same number of diner people as the set number of diner people to enter the restaurant together after acquiring the identity information of the target user, the diner people including the target user; after all diners finish taking the meal, the server calculates the total consumption amount of all diners, and the settlement device deducts the sum of money which is the same as the total consumption amount of all diners from the payment account number of the target user.
10. The unmanned cafeteria system of claim 1, further comprising: the display device is arranged in the settlement area and is in communication connection with the server;
and during settlement, the server sends consumption information of the target user to display equipment for displaying, wherein the consumption information comprises the type of the commodity to be sold selected by the target user, the corresponding price information and the total consumption amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922017903.1U CN211149511U (en) | 2019-11-20 | 2019-11-20 | Unmanned cafeteria system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110889784A (en) * | 2019-11-20 | 2020-03-17 | 西安同瑞恒达电子科技有限公司 | Unmanned cafeteria system |
| CN112102113A (en) * | 2020-09-08 | 2020-12-18 | 北京首钢自动化信息技术有限公司 | Dining processing method, server, medium and computer equipment |
| CN112842282A (en) * | 2021-01-07 | 2021-05-28 | 林喜国 | Temperature measurement control method, device and system and computer readable storage medium |
| CN112906513A (en) * | 2021-02-03 | 2021-06-04 | 拉扎斯网络科技（上海）有限公司 | Dining resource information processing method, device and equipment |
| CN113822567A (en) * | 2021-09-17 | 2021-12-21 | 武汉虹信技术服务有限责任公司 | Dining room autonomous dining entrance control method and system |
| CN114333169A (en) * | 2022-01-05 | 2022-04-12 | 伍晓弘 | Method for centralized making and dispersed selling of hot instant food |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110889784A (en) * | 2019-11-20 | 2020-03-17 | 西安同瑞恒达电子科技有限公司 | Unmanned cafeteria system |
| CN112102113A (en) * | 2020-09-08 | 2020-12-18 | 北京首钢自动化信息技术有限公司 | Dining processing method, server, medium and computer equipment |
| CN112842282A (en) * | 2021-01-07 | 2021-05-28 | 林喜国 | Temperature measurement control method, device and system and computer readable storage medium |
| CN112906513A (en) * | 2021-02-03 | 2021-06-04 | 拉扎斯网络科技（上海）有限公司 | Dining resource information processing method, device and equipment |
| CN113822567A (en) * | 2021-09-17 | 2021-12-21 | 武汉虹信技术服务有限责任公司 | Dining room autonomous dining entrance control method and system |
| CN114333169A (en) * | 2022-01-05 | 2022-04-12 | 伍晓弘 | Method for centralized making and dispersed selling of hot instant food |
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