CN111815483A - Efficient ordering method and device - Google Patents
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention discloses an efficient ordering method and device, which comprises a processor module, a membership card ordering module, an APP ordering program and a bar counter ordering module, wherein the control end of the processor module is connected with a camera, the camera captures a face signal, the processor module calls a database face judgment after receiving the signal, the processor module classifies the bar counter ordering module, the APP ordering program and the membership card ordering module after target identification, the bar counter ordering module corresponds to a new client crowd, the APP ordering program corresponds to a young crowd, the membership card ordering module corresponds to a membership card crowd, the processor module is connected with a power supply module through a DuPont line, the signal input end of the processor module is connected with a database, the signal input end of the database is connected with an OpenCV module, and the signal input end of the OpenCV module is connected with the camera, the three modes of the invention greatly improve the efficiency.
Description
Technical Field
The invention relates to ordering equipment and a method, in particular to efficient ordering method and efficient ordering equipment.
Background
People are concentrated on one time during work and eating time is concentrated on one time, so that crowding of a dining room is caused, accidents are caused, dining efficiency is influenced, and queuing is easy. The rapid development of national economy in China, the living standard of people is continuously improved, and the acceleration of the life rhythm prompts more and more people to order food when going out. However, the traditional catering industry in China is urgent to be improved in informationization due to the poor and desirable service quality and the complex ordering procedure. The service quality and the working efficiency of the catering industry can be improved through an informatization means, the cost can be reduced, and the income can be increased.
The current ordering machine is not intelligent, along with the rapid development of the mobile internet technology, all trades are changing over the world, the catering industry is no exception, the novel ordering and meal taking mode based on the internet is gradually replacing the traditional meal supply mode which needs to consume a large amount of queuing time and ordering time to complete meal, active face recognition and wireless communication cannot be carried out, so an efficient ordering method and device are urgently needed, the face recognition technology and the intelligent ordering mode cannot be combined, and the ordering crowd is not classified very low.
Disclosure of Invention
The invention aims to provide an efficient ordering method and device to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an efficient ordering method and device, which comprises a processor module, a membership card ordering module, an APP ordering program and a bar counter ordering module, the control end of the processor module is connected with a camera which captures a human face signal, the processor module calls a database for human face discrimination after receiving the signal, the processor module is classified into the bar counter ordering module, the APP ordering program and the membership card ordering module after target identification, the bar counter ordering module corresponds to a new customer crowd, the APP ordering program corresponds to a young crowd, the membership card ordering module corresponds to a membership card crowd, the processor module is connected with a power supply module through a DuPont line, the signal input end of the processor module is connected with a database, the signal input end of the database is connected with an OpenCV module, and the signal input end of the OpenCV module is connected with the camera.
The signal output end of the processor module is connected with a voice broadcasting module and a touch display screen, and voice and text prompt and output are convenient to carry out. The camera signal input end is connected with a human face, and the processor module signal output end judges that new client groups, young groups and membership card groups exist, so that classification is convenient. New customer crowd corresponds to the bar counter and orders, just new customer crowd uses cash and two-dimensional code to sweep the sign indicating number payment, solves new customer crowd's demand of ordering. The young crowd is correspondingly APP food ordering, the young crowd is network payment, and the young crowd is suitable for network payment. The membership card crowd corresponds to be a shelves mouth to take a meal, and the membership card crowd deducts money for the inside of the membership card to pay, and more conveniently corresponds to the membership card crowd. The power supply module comprises a voltage reduction module, a rectification module and a filtering module, the voltage reduction module is connected with the rectification module through a signal output end, and the filtering module is connected with the signal output end of the rectification module, so that power can be conveniently supplied to the system. The processor module comprises a memory, a central processing unit, an interrupt system and a system analysis unit, wherein the signal output end of the memory is connected with the central processing unit, the signal output end of the central processing unit is connected with the interrupt system, and the signal output end of the interrupt system is connected with the system analysis unit, so that the system can conveniently judge. The APP that young crowd corresponds orders and shows dish kind and classification, and APP automatic display after ordering takes meal the window, and young crowd's efficiency of ordering increases. And S1, opening the camera to acquire the picture for graying. And S2, recording the facial information of the membership card crowd into a database. And S3, moving the rotation position of the camera, and carrying out face detection by the camera. And S4, the camera moves the OpenCV module to perform recognition. S5, through judging that the people ordering food are young people, the processor module feeds back information to the touch display screen and carries out voice broadcast to inform the people of ordering food by APP. When the processor module judges that the people ordering food is new customer people, the processor module feeds back information to the touch display screen and carries out voice broadcast to inform the people of going to the bar counter to order food, and when the processor module judges that the people ordering food is member card people, the processor module feeds back information to the touch display screen and carries out voice broadcast to inform the people of going to the mouth of a file to take food.
Compared with the prior art, the invention has the beneficial effects that: an efficient ordering method mainly comprises the steps that a dining room is divided into three modules, the first module is a crowd for ordering food at a bar counter, people generally eat newly and infrequently or pass by the dining room for eating, the second module is that an APP ordering large screen in the dining room hall can click a manual ordering operation, the diners mainly comprise young people and can use new equipment, the third ordering method is that the diners with membership cards directly go to shelves for taking food, and the diners are fixed and generally eat frequently. The intelligent ordering system is an electronic ordering system integrating traditional menu and wireless ordering informatization, and greatly improves efficiency. The three modes are mainly used for reducing the pressure of ordering food at a counter and saving the time of ordering food, and the design of the background database adopts the design idea of a large database, so that the design can support multipoint operation and larger data storage. And the selection of the database management system is simple in operation.
Drawings
Fig. 1 is a schematic view of the overall structure of the present invention.
Fig. 2 is a block diagram of the operation of the present invention.
In the figure: 1-a camera; 2-a human face; 3-a bar counter ordering module; 4-new customer population; 5-a processor module; 6-a database; 7-APP ordering program; 8-a membership card ordering module; 9-membership card population; 10-young population; 11-OpenCV module; 12-a voice broadcast module; 13-touch display screen; 14-a memory; 15-a central processing unit; 16-an interrupt system; 17-a system analysis unit; 18-a power supply module; 19-a voltage reduction module; 20-a rectifying module; 21-a filtering module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: an efficient ordering method and device comprise a processor module 5, a membership card ordering module 8, an APP ordering program 7 and a bar counter ordering module 3, wherein the control end of the processor module 5 is connected with a camera, the camera captures a face 2 signal, the processor module 5 calls a database 6 for face discrimination after receiving the signal, the bar counter ordering module 3, the APP ordering program 7 and the membership card ordering module 8 are classified after the processor module 5 identifies a target, the bar counter ordering module 3 corresponds to a new customer crowd 4, the APP ordering program 7 corresponds to a young crowd 0, the membership card ordering module 4 corresponds to a membership card crowd 9, the processor module 5 is connected with a power supply module 18 through a DuPont wire, the signal input end of the processor module 5 is connected with the database 6, the signal input end of the database 6 is connected with an OpenCV module, the signal input end of the OpenCV module is connected with the camera.
The signal output end of the processor module 5 is connected with a voice broadcasting module 2 and a touch display screen 3, and voice and text prompt and output are conveniently carried out. The camera signal input part is connected with a human face 2, and the signal output part of the processor module 5 judges that a new client crowd 4, a young crowd 0 and a membership card crowd 9 exist, so that classification is convenient. New customer crowd 4 corresponds to the bar counter and orders, just new customer crowd 4 uses cash and two-dimensional code to sweep the sign indicating number payment, solves new customer crowd's demand of ordering. The young crowd 0 corresponds to APP ordering, the young crowd 0 is network payment, and the young crowd is suitable for network payment. The membership card crowd 9 corresponds to be a shelves mouth to take a meal, and the membership card crowd 9 deducts money for the inside of the membership card to pay, and is more convenient to correspond to the membership card crowd. The power supply module 18 comprises a voltage reduction module 19, a rectification module 20 and a filtering module 21, the signal output end of the voltage reduction module 19 is connected with the rectification module 20, and the signal output end of the rectification module 20 is connected with the filtering module 21, so that power can be conveniently supplied to the system. The processor module 5 comprises a memory 4, a central processing unit 5, an interrupt system 6 and a system analysis unit 7, wherein the signal output end of the memory 4 is connected with the central processing unit 5, the signal output end of the central processing unit 5 is connected with the interrupt system 6, and the signal output end of the interrupt system 6 is connected with the system analysis unit 7, so that the system can conveniently judge. APP ordering that young crowd 0 corresponds shows dish kind and classification, and APP ordering back automatic display takes meal window, and young crowd's efficiency of ordering increases. And S, opening the camera to obtain the picture for graying. And S2, inputting the facial information of the membership card crowd 9 into the database 6. And S3, moving the rotation position of the camera, and carrying out face detection by the camera. And S4, the camera moves the OpenCV module to perform recognition. S5, through judging that the people ordering food is young crowd 0, the processor module 5 feeds back information to the touch display screen 13 and carries out voice broadcast to inform the people of ordering food by APP. When the processor module 5 judges that the crowd ordering food is the new customer crowd 4, the processor module 5 feeds back information to the touch display screen 23 and carries out voice broadcast to inform the crowd of going to the bar counter to order food, and when the processor module 5 judges that the crowd ordering food is the membership card crowd 9, the processor module 5 feeds back information to the touch display screen 13 and carries out voice broadcast to inform the crowd of going to the gate to take food.
The working principle is as follows: firstly, the ordering system performs autonomous circular motion, and the power box performs power supply systems of all the modules. And opening the camera to acquire the picture for graying. The member population facial information is entered into the database 6, the information is taken by the camera 1, and the processor analyses each pixel and its surrounding pixels, draws an arrow according to the intensity, the pointing direction of the arrow representing the direction of the pixel becoming darker, and if we operate each pixel repeatedly, the final pixel is replaced by the arrow. These arrows, called gradients, can show the flow of the image from light to dark, then encode the processed picture and complete the entry of the database from the name of the person who authored the code. The following method classifications were then made:
1. the camera carries out face detection. The camera 1 invokes the OpenCV module 30 for recognition. Through judging that the crowd of ordering food is young crowd, the processor module feeds back information to the touch display screen and carries out voice broadcast to inform the crowd of ordering food by APP, and this is the second module, and the dining room hall has the APP big screen of ordering food to click manual ordering food, and this kind of eater is mainly some young people, can use new equipment.
2. When the neural network judges that the food ordering crowd is a new customer crowd, the processor module 5 feeds back information to the touch display screen and carries out voice broadcast to inform the crowd of going to the bar counter to order food, namely, the second module is the new customer crowd ordering food at the bar counter and informs the crowd of going to the bar counter to order food.
3. When judging that the crowd of ordering is the member card crowd, processor module 5 feedback information is to touch display screen and carry out voice broadcast and inform this kind of crowd to go the shelves mouth and take the meal, and this is the third kind module, and the order is the eater that has the member card, directly goes the shelves mouth and takes the meal, is fixed eater usually. .
The three modes can reduce the pressure of ordering food at the counter, can save the time of ordering food, and increase the efficiency of ordering food, and the APP software adopts C + + to adopt the object-oriented design technology, abstracts the result data of the order of the code scanner into the categories of message record, consumption details and the like, and stores the categories in the database table. The APP part of core functions are to provide evaluation of each consumption by the user and also have a point exchange function, so that the enthusiasm of the user for participating in evaluation is stimulated and improved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An efficient ordering method and device are characterized in that: comprises a processor module (5), a membership card ordering module (8), an APP ordering program (7) and a bar counter ordering module (3), wherein the control end of the processor module (5) is connected with a camera (1), the camera (1) captures a face (2) signal, the processor module (5) calls a database (6) for face discrimination after receiving the signal, the bar counter ordering module (3), the APP ordering program (7) and the membership card ordering module (8) are classified after target identification of the processor module (5), the bar counter ordering module (3) corresponds to a new client crowd (4), the APP ordering program (7) corresponds to a young crowd (10), the membership card ordering module (41) corresponds to a membership card crowd (9), the processor module (5) is connected with a power supply module (18) through a DuPont cable, the signal input end of the processor module (5) is connected with a database (6), the signal input end of the database (6) is connected with an OpenCV module (11), and the signal input end of the OpenCV module (11) is connected with the camera (1).
2. The efficient food ordering method and device as claimed in claim 1, wherein: the signal output end of the processor module (5) is connected with a voice broadcasting module (12) and a touch display screen (13).
3. The efficient food ordering method and device as claimed in claim 1, wherein: the camera (1) signal input part is connected with a human face (2), and the processor module (5) signal output part judges that a new client crowd (4), a young crowd (10) and a membership card crowd (9) exist.
4. An efficient food ordering method and device as claimed in claim 1 or 3, characterized in that: new customer crowd (4) are corresponding to the bar counter and have an order, just new customer crowd (4) use cash and two-dimensional code to sweep the sign indicating number payment.
5. An efficient food ordering method and device as claimed in claim 1 or 3, characterized in that: the young (10) is corresponding to an APP meal order and the young (10) is paid for on-line.
6. An efficient food ordering method and device as claimed in claim 1 or 3, characterized in that: the membership card crowd (9) correspondingly takes meals for shelves, and the membership card crowd (9) deducts money for the inside of the membership card and pays.
7. The efficient food ordering method and device as claimed in claim 1, wherein: the power supply module (18) comprises a voltage reduction module (19), a rectification module (20) and a filtering module (21), the signal output end of the voltage reduction module (19) is connected with the rectification module (20), and the signal output end of the rectification module (20) is connected with the filtering module (21).
8. The efficient food ordering method and device as claimed in claim 1, wherein: the processor module (5) comprises a memory (14), a central processing unit (15), an interrupt system (16) and a system analysis unit (17), wherein a signal output end of the memory (14) is connected with the central processing unit (15), a signal output end of the central processing unit (15) is connected with the interrupt system (16), and a signal output end of the interrupt system (16) is connected with the system analysis unit (17).
9. The efficient food ordering method and device as claimed in claim 1, wherein: the APP ordering that young crowd (10) correspond shows dish kind and classification, and the APP automatic display after ordering takes a meal the window.
10. The efficient food ordering method and device as claimed in claim 1, wherein:
s1, opening the camera (1) to obtain a picture for graying;
s2, inputting the face information of the membership card crowd (9) into a database (6);
s3, moving the rotation position of the camera (1), and carrying out face detection by the camera;
s4, the camera (1) moves the OpenCV module (11) to recognize;
s5, by judging that the food ordering crowd is a young crowd (10), the processor module (5) feeds back information to the touch display screen (23) and carries out voice broadcast to inform the crowd of carrying out APP food ordering;
judge the crowd of ordering as new customer crowd (4) when processor module (5), processor module (5) feedback information gets to touch-sensitive display screen (23) and carries out voice broadcast and inform this type of crowd to go the bar counter and order, judge the crowd of ordering as membership card crowd (9) when processor module (5), processor module (5) feedback information gets to touch-sensitive display screen (23) and carries out voice broadcast and inform this type of crowd to go the grade mouth and take the meal.
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- 2020-08-12 CN CN202010807350.4A patent/CN111815483A/en active Pending
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