CN210776801U - Intelligent meal fee pricing system based on tableware feature recognition - Google Patents
Intelligent meal fee pricing system based on tableware feature recognition Download PDFInfo
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Abstract
The utility model relates to an intelligence meal pricing system based on tableware feature recognition, this intelligence meal pricing system is including holding tableware, image acquisition equipment and the meal of treating the settlement cooked food checkout equipment, and the meal checkout equipment is connected to image acquisition equipment. The image of the preset characteristic region of the tableware is acquired by the image acquisition device region, the acquired image of the preset characteristic region of the tableware is sent to the meal fee checkout equipment, the meal fee checkout equipment performs image identification on the images sent by the image acquisition device to accurately identify the type and the number of the tableware of each tableware, the meal fee checkout equipment calls the price of dishes of the tableware of corresponding type, and finally the total meal fee to be paid for all dishes to be settled is obtained, so that the cash register work of a restaurant is greatly facilitated, and the cash register efficiency and the intelligent cash register degree are improved.
Description
Technical Field
The utility model relates to a silver field is received in the food and beverage, especially relates to an intelligence meal pricing system based on tableware feature recognition.
Background
In the current cashier process in the catering industry, restaurant personnel mainly register through a traditional cash register or register-receiving operation is carried out through a scanning identification cash-receiving mode based on an RFID chip.
However, the existing cash register for the meal fee has the following problems: the traditional cash register is adopted to collect cash, the labor cost is required to be occupied, the familiarity of a cashier on dishes is greatly depended on, once a new dish is pushed out or the cashier is replaced, the situation that serious queuing occurs when the fees are settled due to inaccurate pricing is very easy to occur; the cashing mode based on the scanning and identifying of the RFID chip needs to be specially processed for tableware, and the RFID chip is implanted in the tableware in advance, so that the cashing mode has the problems of high operation cost and limited popularization degree.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that an intelligence meal pricing system based on tableware feature recognition is provided to above-mentioned prior art.
The utility model provides a technical scheme that above-mentioned technical problem adopted does: intelligent meal fee pricing system based on tableware feature recognition, its characterized in that includes:
the tableware is used for containing dishes to be settled selected by the dinning objects;
the image acquisition equipment is used for acquiring the preset characteristic region image of the tableware to obtain the preset characteristic region image information of the tableware;
and the meal fee settlement equipment is connected with the image acquisition equipment, and a tableware sample preset characteristic area image information database is stored in the meal fee settlement equipment and used for identifying the type of dishes to be settled, the quantity of various kinds of tableware, the unit price of the dishes corresponding to the various kinds of tableware and calculating to obtain the total meal fee to be paid by the dinning object.
In the intelligent meal pricing system based on tableware feature identification, the preset feature area is the bottom of tableware, the bottom of the tableware is provided with an identification mark for representing the tableware, and the acquisition end of the image acquisition device is positioned below the identification mark.
Further, the intelligent meal fee pricing system based on tableware feature recognition further comprises a tray for containing tableware, and the position, corresponding to the recognition mark at the bottom of the tableware, on the tray is a transparent area.
The intelligent food fee pricing system based on tableware characteristic recognition further comprises a workbench for placing the tray, a pressure sensor for detecting the pressure of the tray is arranged on the workbench, and the pressure sensor is connected with a food fee checkout device; or the intelligent meal pricing system based on tableware feature recognition further comprises an alarm prompting device connected with the meal payment equipment.
Optionally, in the intelligent meal pricing system based on tableware feature identification, the meal fee checkout device is provided with a display screen and is connected with a bill printing device; or the meal fee checkout equipment is provided with a network communication device connected with an external network, and the meal fee checkout equipment is connected with a payment code scanner and a server end for managing the intelligent meal fee pricing system.
Compared with the prior art, the utility model has the advantages of: the utility model discloses an among the intelligent expense pricing system based on tableware feature recognition, the identification mark that will be used for the sign to predetermine the characteristic region sets up the bottom at the tableware, and be located on the tray and be transparent region with the corresponding position of identification mark, ensure from this that image acquisition device's collection end can go to gather the identification mark of tray transparent region top in the below of tray, then utilize the identification mark who gathers to discern the tableware kind accurately by tableware checkout equipment, transfer the cooked food unit price of corresponding kind tableware, finally obtain the total expense of the required payment of cooked food in the tray, the receipts silver work in dining room has greatly been made things convenient for, cashier's efficiency and intelligent degree have been improved.
Drawings
FIG. 1 is a schematic diagram of an intelligent meal pricing system based on tableware feature recognition in the embodiment of the present invention;
fig. 2 is a schematic flow chart of an intelligent meal fee pricing method based on tableware feature recognition in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments.
As shown in fig. 1, the present embodiment provides an intelligent tariff pricing system based on tableware feature recognition. Specifically, the intelligent meal fee pricing system comprises:
the tableware 1 is used for containing dishes to be settled selected by dinning objects; the tableware 1 is a common dish or dish holding utensil;
the image acquisition equipment 2 is used for acquiring the preset characteristic region image of the tableware 1 to obtain the preset characteristic region image information of the tableware; wherein, the preset characteristic region in the embodiment is the bottom of the tableware, the bottom of the tableware 1 has an identification mark 100 for representing the tableware, and the collecting end 20 of the image collecting device 2 is located below the identification mark 100; the image pickup device 2 here employs a CCD camera or a CMOS camera or an industrial camera, and the image pickup device 2 is connected to the meal checkout device 3 using a USB cable or a network cable.
The meal fee payment device 3 is connected with the image acquisition device 2, and a tableware sample preset characteristic area image information database is stored in the meal fee payment device 3 and used for identifying the type of dishes to be paid, the quantity of various dishes, the price of the dishes corresponding to various dishes and calculating the total meal fee to be paid by the dining object. The image acquisition device 2 and the meal fee checkout device 3 can realize data communication by adopting a USB or TP/ICP connection mode, and the image acquisition device sends acquired image information data to the meal fee checkout device for processing.
After the intelligent meal fee pricing system is applied to a restaurant, each type of tableware contains a single-unit dish, and after a consumer selects a plurality of tableware containing different dishes, when payment is needed, the image acquisition equipment 2 is used for acquiring the identification mark image at the bottom of each tableware 1 to obtain the characteristic area image information of each tableware; then, the image acquisition device 2 sends the acquired image information of the preset characteristic region corresponding to each tableware to the meal fee checkout device 3; the meal fee checkout device 3 matches the preset characteristic region image information of each tableware sent by the image acquisition device 2 with a tableware sample preset characteristic region image information database stored in the meal fee checkout device, and further obtains the tableware type of each tableware and the dish unit price corresponding to the tableware type, so that the total meal fee of the dishes to be paid by the dinning object is obtained according to the relationship between the quantity of different types of tableware and the dish unit price corresponding to the tableware type.
It should be noted that the identification technology based on image information belongs to the prior art, and is already mature at present. For example, the face payment which is popular at present is realized by matching and recognizing a currently acquired face image of a user and a legally stored face image of the user, and once the currently acquired face image of the user is consistent with the stored face image of the user, the recognition is determined to be successful. Of course, the existing license plate recognition gate at the entrance of a cell, the gate installed in a garage and based on license plate recognition and the like are based on image recognition technology and are very mature technologies. Therefore, it is very easy for a software programmer to realize the image recognition of the characteristic region of the tableware on the computer software program level, and no substantial change needs to be made to the existing image recognition program.
In order to facilitate the user to select and use the actual meal payment requirement of a plurality of dishes at the same time, the intelligent meal pricing system of the embodiment further comprises a tray 4 for containing tableware, and the position, corresponding to the identification mark at the bottom of the tableware 1, on the tray 4 is a transparent area. By providing the transparent region on the tray, it can be ensured that the image capturing device 2 can accurately capture the identification mark on the bottom of the tableware through the transparent region of the tray. Here, the identification mark is a shape or a color or an image or a text or a symbol or any combination of a shape, a color, an image, a text and a symbol. Preferably, the tray 4 is entirely transparent.
Of course, as a modification, the intelligent meal pricing system of the embodiment further includes a workbench 5 for placing the tray 4, the workbench 5 is provided with a pressure sensor 6 for detecting the pressure of the tray, and the pressure sensor 6 is connected to the meal payment device 3. Through the arrangement, after a user places the tray for containing tableware on the workbench, the pressure sensor 6 can detect the increase and change of pressure, and after the pressure sensor sends a detected pressure change signal to the meal fee settlement device, the meal fee settlement device can enable the image acquisition device to acquire the identification marks at the bottoms of the tableware in the tray.
In addition, the intelligent meal fee pricing system of the embodiment may further include an alarm prompting device 7 connected to the meal fee checkout device 3, so that when the meal fee checkout device does not timely identify the tableware on the tray, the alarm prompting device 7 gives an alarm prompt to remind staff of the restaurant. Once the tray is taken away and the meal checkout device does not receive the payment due, the meal checkout device commands the alarm prompting means to make an alarm prompt. The alarm prompting device 7 can adopt an acoustic alarm prompting mode, a luminous alarm prompting mode or an acousto-optic simultaneous alarm prompting mode.
In order to more clearly display the settlement information and print the settlement list, the meal checkout device 3 also has a display screen 8, and the meal checkout device 3 is connected with a bill printing device 9. The display screen 8 can display the price of the dishes in each tableware and the total cost to be paid one by one so as to facilitate the checking of consumers or workers.
In order to meet the actual demand of the current internet payment, the meal checkout device 3 of the present embodiment has a network communication device 10 connected to an external network, and the meal checkout device 3 is connected to a payment code scanner 11 and a server 12 managing the smart meal pricing system. After the user provides the payment code for payment, the payment code scanner 11 scans the payment code of the user, thereby completing the code-scanned payment. The server side 12 can call the information processed by the meal checkout device 3 in time so as to execute the subsequent data processing process.
Of course, the display screen 8 in this embodiment may also display the collection code to the consumer, so that the consumer can conveniently scan the collection code by using the mobile terminal to complete the payment of the meal fee. The intelligent meal fee pricing system of the embodiment can also be provided with a biological characteristic identification device 13 connected with the meal fee checkout device 3, and the meal fee checkout device 3 can be connected with an account opening management party platform to which the user opens the payment account. For example, if the user opens an account with a bank to complete daily consumption payment, the platform of the account opening manager is the bank management platform to which the bank account belongs; if the user opens a non-bank third-party payment account to complete daily consumption payment, the account opening management platform is the third-party payment management platform to which the third-party payment account belongs.
In order to make the scheme of the intelligent tariff pricing system in the embodiment be understood as a whole, referring to fig. 2, the embodiment further provides an intelligent tariff pricing method based on tableware feature recognition. Specifically, the intelligent dining fee pricing method based on tableware feature recognition comprises the following steps:
step 1, carrying out image acquisition on preset characteristic regions of various tableware samples with preset number of types, and respectively obtaining preset characteristic region image information of the tableware samples corresponding to each type of tableware samples; wherein, the tableware is a common utensil for holding dishes, bowls, dishes and the like; the number of the preset types can be adjusted according to the specific situation of the type of the tableware;
for example, assuming that there are four kinds of dishes in this embodiment, i.e., the number of the preset kinds is 4 here, the preset characteristic region is set as the bottom of the dish, and the bottom of the dish has an identification mark for characterizing the kind of dish; the four tableware samples are respectively a tableware sample A, a tableware sample B, a tableware sample C and a tableware sample C, and preset characteristics of the four tableware samples can be obtained by respectively carrying out image acquisition on preset characteristic areas (namely, identification marks at the bottoms of the tableware) of the four tableware samplesRegion image information. Specifically, the preset characteristic region image information of the four tableware samples is the preset characteristic region image information S of the tableware samplesTableware sample AAnd the tableware sample preset characteristic region image information STableware sample BAnd the tableware sample preset characteristic region image information STableware sample CAnd tableware sample preset characteristic region image information STableware sample D；
based on the above-described feature region image information for the four tableware samples which have been obtained, the feature region image information S is preset from the four tableware samples obtainedTableware sample A、STableware sample B、STableware sample CAnd STableware sample DForming a tableware sample preset characteristic area image information database S; the tableware sample preset characteristic region image information database S formed here is limited to the characteristic region image information of the preset characteristic regions (at the identification marks of the bottom of the tableware) which can be used for characterizing the tableware A, the tableware B, the tableware C and the tableware D; the tableware sample A and the tableware A belong to the same type of tableware;
in restaurant business occasions, a variety of dishes are usually provided, and it is required to preset that each tableware can only be used for containing dishes with the same unit price, namely, each tableware corresponds to one dish unit price, the same kind of tableware can contain different dishes, but the contained dish unit prices are required to be the same. Specifically, the table of relationship between the tableware category and the dish price constructed in advance here can be shown as the following table:
| kind of tableware | Corresponding unit price of dish |
| Tableware A | PriceA |
| Tableware B | PriceB |
| Tableware C | PriceC |
| Tableware D | PriceD |
For example, if a dish A contains dish W1, the Price of the dish in the dish A is 1 PriceA(ii) a By analogy, if one dish A contains dish W1 and the other dish A contains dish W2, the total Price of the dishes contained in the two dishes A is 2 PriceA(ii) a That is, the price is calculated for the meal fee of the dishes, and the type of the dishes and the number of the dishes are only considered without considering what dishes are contained in the dishes;
step 4, acquiring preset characteristic area image information of tableware containing dishes and tableware to be settled;
when the restaurant staff fill dishes into each tableware and are selected by the dining objects, the selected dishes are called dishes to be settled;
for example, when a restaurant worker puts dish W1 on dish a and a meal object selects dish W1, dish W1 is called dish to be settled W1;
if the user A selects a plurality of dishes and uses two dishes A, B and C respectively, the dishes selected by the user A are neededWhen the account is settled, the bottom areas of the two dishware A, the two dishware B and the two dishware C are respectively subjected to image acquisition, so that two pieces of characteristic area image information S aiming at the dishware A are obtainedTableware ACharacteristic region image information S for one dish BTableware BAnd characteristic region image information S for one tableware CTableware C；
It should be noted that, in the present embodiment, the image information of the preset characteristic region of the tableware referred to in step 4 may also be obtained by first acquiring an entire image and then segmenting the image as follows. Specifically, the method further comprises the following steps between the step 4 and the step 3:
firstly, acquiring images of all preset characteristic areas for containing dishes to be settled to obtain an integral image of all the preset characteristic areas for containing the dishes to be settled;
in an actual catering situation, a dining object often selects a plurality of dishes, for example, dish W1 to be settled, dish W2 to be settled and dish W3 to be settled, and corresponding dishes are dish a, dish B and dish C, respectively, so that at this time, image acquisition for a preset feature area is not performed for each dish taken by the dining object, but instead, an overall image S1, that is, an overall image of the preset feature area of the dishes is obtained by directly using an industrial video detection method for all dishes (dish a, dish B and dish C) taken by the dining object. The tableware preset characteristic region overall image simultaneously comprises preset characteristic region image information of tableware A, preset characteristic region image information of tableware B and preset characteristic region image information of tableware C;
and then, segmenting the whole tableware preset feature area image to respectively obtain segmented sub-images of preset feature area image information for each tableware containing dishes to be settled, and taking the segmented sub-images as the corresponding tableware preset feature area image information for containing the dishes to be settled so as to shift to the step 4.
For example, in the image S1 for obtaining the wholeThe image S1 needs to be segmented to obtain the segmented sub-images of the image information of the preset feature area for each dish and tableware to be settled, i.e. the segmented sub-images obtained after the segmentation are SA、SBAnd SCThen the divided sub-picture SAAs the tableware preset characteristic region image information of the tableware A, the sub-image S after the division is takenBAs the tableware preset characteristic region image information of the tableware B, the sub-image S after the division is carried outCThe tableware preset characteristic region image information is used as tableware C;
step 5, matching and identifying the obtained tableware preset characteristic region image information with the tableware sample preset characteristic region image information in the tableware sample preset characteristic region image information database:
when the characteristic region image information of the tableware is matched with the preset characteristic region image information of any tableware sample, turning to step 6; otherwise, sending out an alarm prompt;
specifically, in the present embodiment, the characteristic region image information S of the tableware is obtainedTableware ARespectively comparing the preset characteristic region image information with the tableware sample preset characteristic region image information in the tableware sample preset characteristic region image information database S (S)Tableware sample A、STableware sample B、STableware sample CAnd STableware sample D) Matching identification is carried out, and the characteristic region image information S is obtained through matching identification and hypothesis identificationTableware AImage information S of preset characteristic region of tableware sampleTableware sample AIf the matching is consistent, the image information S of the characteristic region is determinedTableware AThe corresponding tableware type is tableware A; similarly, the collected characteristic region images S of other tableware are sequentially subjected to image recognitionTableware BAnd STableware CMatching identification is carried out, and the characteristic region image information S is obtained through matching identification and hypothesis identificationTableware BImage information S of preset characteristic region of tableware sampleTableware sample BMatching consistent characteristic region image information STableware CImage information S of preset characteristic region of tableware sampleTableware sample CIf the matching is consistent, then the image information S of the characteristic region is determinedTableware AThe corresponding tableware type is tableware B and characteristic region image information STableware CThe corresponding tableware type is tableware C, and then the step 6 is carried out; if no matched and consistent tableware sample preset characteristic area image information is found, the situation shows that the current tableware has a plurality of pieces of tableware which are used by the restaurant in a scheduled mode, or even if the tableware used by the restaurant in a scheduled mode is covered by the identification mark at the bottom of the tableware, an alarm prompt is sent to prompt staff of the restaurant;
step 6, counting to obtain the number of the tableware which is matched with the preset characteristic area image information of any tableware sample;
through matching identification aiming at the characteristic region image information, the characteristic region image information S preset with the tableware sample can be obtainedTableware sample AThe number of the matched tableware is 2, and the matched tableware is matched with the image information S of the preset characteristic region of the tableware sampleTableware sample BThe number of the matched tableware is 1, and the matched tableware is matched with the image information S of the preset characteristic region of the tableware sampleTableware sample CThe number of the matched tableware is 1, and the matched tableware is matched with the image information S of the preset characteristic region of the tableware sampleTableware sample DThe number of matched tableware is 0;
step 7, calling a dish unit price corresponding to any one tableware sample from the tableware dish price relationship list;
presetting characteristic region image information S for tableware sampleTableware sample AThe matched tableware A is treated as follows:
the dish unit Price corresponding to the tableware A is extracted by extracting the dish unit Price from the established tableware dish Price relation list, namely the dish unit Price used by the tableware A is PriceA；
according to the method, dishes which are selected by the user and need to be checked can be obtainedIn the method, the number of the tableware A is 2, the number of the tableware B is 1, and the number of the tableware C is 1; correspondingly, the Price of the dish corresponding to the tableware A is PriceAThe Price of the dish corresponding to the tableware B is PriceBAnd the Price of the dish corresponding to the tableware C is PriceC；
And 9, obtaining the total meal fee to be paid by the dinning object according to the quantity of the obtained various tableware and the unit price of the dishes corresponding to the various tableware.
In this embodiment, it can be known through identification that the current meal object to be settled uses 2 dishes a, 1 dish B, and 1 dish C, and the unit Price of the dish corresponding to each dish is already obtained, so that through statistical calculation, the total meal fee to be paid by the user object is obtained as Price:
Price＝2*PriceA+1*PriceB+1*PriceC。
in order to more accurately acquire the image information of the characteristic region of the tableware, in the intelligent meal fee pricing method of the embodiment, the tableware in the embodiment is placed on the tray, and the position on the tray corresponding to the identification mark at the bottom of the tableware is a transparent region. The transparent area on the tray can be used for image acquisition aiming at the preset characteristic area of the tableware.
In addition, after counting the total meal fee that needs to be paid by the subject, the intelligent meal fee pricing method based on tableware feature recognition according to the embodiment further includes, after step 9:
step a1, sending a prompt for paying the total meal fee to the meal object;
step a2, whether the payment item of the total meal is received is judged:
when the payment items of the total meal fee are received, the step 4 is carried out; otherwise, sending out an alarm reminding that the dining expense is not paid in time. It should be noted that the payment of the total meal fee can be paid by cash payment or IC card payment or code scanning payment or based on biometric identification. The biometric-based mode can be a face recognition payment (i.e. face brushing payment) or a fingerprint recognition payment. When the payment item of the total meal fee is not received, the conditions of payment problem, accidental departure of diner personnel or local fault and the like may occur, and in this case, an alarm prompt that the meal fee is not timely paid needs to be sent out to prompt restaurant staff to make response treatment.
In order to accurately meter the total meal fee of a meal object and avoid the occurrence of a metering fault, the intelligent meal fee metering method based on tableware feature recognition in the embodiment further sends an alarm prompt when detecting that the tableware appears in the image acquisition area and the acquired image information of the feature area of the tableware cannot be matched and recognized within a preset time period, so that a worker can make subsequent judgment processing. The preset time period here may be set to 2 seconds. Once intelligent meal fee pricing cannot be achieved due to power failure or other faults, restaurant personnel adopt manual meal fee pricing, and payers can complete payment of meal fees by cash or other modes. Of course, if some diners cover the identification mark on the bottom of the tableware in an intentional or unintentional manner, a situation that "the tableware is detected in the image acquisition area and the acquired characteristic area image information of the tableware is not matched and identified within a preset time period" also occurs, and at this time, an alarm prompt is also made.
Although the preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. Intelligent meal fee pricing system based on tableware feature recognition, its characterized in that includes:
the tableware (1) is used for containing dishes to be settled selected by dinning objects;
the image acquisition equipment (2) is used for acquiring a preset characteristic region image of the tableware (1) to obtain preset characteristic region image information of the tableware;
and the meal fee checkout device (3) is connected with the image acquisition device (2).
2. The intelligent dining pricing system based on tableware feature recognition according to claim 1, characterized in that the preset feature area is the bottom of tableware, the bottom of the tableware (1) is provided with an identification mark (100) for characterizing the tableware, and the collecting end (20) of the image collecting device (2) is positioned below the identification mark (100).
3. The intelligent dining pricing system based on tableware characteristic identification according to claim 2, characterized in that further comprises a tray (4) for containing the tableware (1), and the position on the tray (4) corresponding to the identification mark (100) at the bottom of the tableware (1) is a transparent area.
4. The intelligent dining pricing system based on tableware characteristic identification according to claim 2 or 3, characterized in that the identification mark (100) is a shape or color or image or text or symbol or any combination of shape, color, image, text and symbol.
5. An intelligent dining pricing system based on tableware characteristic identification according to claim 3, characterized in that, the system further comprises a workbench (5) for placing the tray (4), a pressure sensor (6) for detecting the pressure of the tray is arranged on the workbench (5), and the pressure sensor (6) is connected with a dining fee checkout device (3).
6. An intelligent dinner fee pricing system based on tableware characteristic identification according to claim 3, characterized by further comprising an alarm prompting device (7) connected with the dinner fee checkout device (3).
7. The intelligent tableware feature recognition-based meal pricing system according to any one of claims 1-3, characterized in that the meal fee checkout device (3) is provided with a display screen (8), and a bill printing device (9) is connected to the meal fee checkout device (3).
8. The intelligent tableware feature recognition-based meal pricing system according to any one of claims 1-3, 5 and 6, characterized in that the meal payment checkout device (3) is provided with a network communication device (10) connected with an external network, and the meal payment checkout device (3) is connected with a payment code scanner (11) and a server side (12) for managing the intelligent meal pricing system.
9. The intelligent tableware feature recognition-based meal pricing system according to claim 8, characterized in that, the system is further provided with a biometric identification device (13) connected with a meal checkout device (3), and the meal checkout device (3) can be connected with an account opening management platform to which a user opens a payment account.
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