CN114267139A - Intelligent POS machine system based on Internet of things, control method thereof and electronic equipment - Google Patents
Intelligent POS machine system based on Internet of things, control method thereof and electronic equipment Download PDFInfo
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- CN114267139A CN114267139A CN202111520126.8A CN202111520126A CN114267139A CN 114267139 A CN114267139 A CN 114267139A CN 202111520126 A CN202111520126 A CN 202111520126A CN 114267139 A CN114267139 A CN 114267139A
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- 238000007639 printing Methods 0.000 claims abstract description 9
- 238000010801 machine learning Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 3
- 238000007651 thermal printing Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 9
- 230000006855 networking Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 8
- 238000007781 pre-processing Methods 0.000 description 5
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- 238000005303 weighing Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 235000013311 vegetables Nutrition 0.000 description 2
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Abstract
Compared with the prior art, the intelligent POS machine system based on the Internet of things and the control method and the control equipment thereof disclosed by the application have the following steps: obtaining external commodity information; counting the external commodity information to generate payment order data; acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server; receiving payment success data of an external payment server; and displaying a payment success prompt and printing order data. The technical scheme that this application relates to, compare in prior art, its can be very big improvement commodity approve the speed among the sales process, improve the security of online payment, in addition, the intelligent POS machine system and the electronic equipment based on thing networking that this application relates to have above-mentioned beneficial effect equally.
Description
Technical Field
The application relates to the technical field of POS machines, in particular to a control method of an intelligent POS machine system based on the Internet of things; the intelligent POS machine system based on the Internet of things is also disclosed; it also relates to an electronic device.
Background
With the development of socio-economic, the traditional retail industry is undergoing great revolution, in the past, consumer consumers generally use paper money, while today's offline payment is very popular, and the payment system of the traditional retail store faces great challenges.
In the prior art, after a cashier needs to audit the articles of a consumer one by one, the cashier needs to input the codes of the commodities and select the prices of the commodities in the auditing process, and the process is complicated, so that the consumption experience of the consumer is greatly influenced.
Therefore, how to provide a control method for an intelligent POS system based on the internet of things, which can greatly improve the speed in the process of commodity approval and sale and improve the security of online payment, has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In order to solve the technical problem, the application provides a control method of an intelligent POS machine system based on the Internet of things, which can greatly improve the speed of the commodity approval and sale process and improve the safety of online payment.
The technical scheme provided by the application is as follows:
the application provides a control method of an intelligent POS machine system based on the Internet of things, which comprises the following steps: obtaining external commodity information; counting the external commodity information to generate payment order data; acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server; receiving payment success data of an external payment server; and displaying a payment success prompt and printing order data.
Further, in a preferred mode of the present invention, the method further includes the steps of: and acquiring commodity weight data and recording the data into the external commodity information.
Further, in a preferred aspect of the present invention, the acquiring the product weight data and including in the external product information: identifying the type data of the prior commodity and acquiring the weight data of the prior commodity; identifying the type data of the following commodities and acquiring the weight data of the following commodities; the weight data for the following commodity is obtained by subtracting the weight of the preceding commodity from the total weight of the preceding and following commodities.
Further, in a preferred mode of the present invention, the identifying preceding/succeeding article type data includes the steps of: acquiring commodity image data; importing the commodity image data into a machine learning model, and outputting the identified commodity type data; the machine learning model is trained from known training set data and test set data.
Further, in a preferred mode of the present invention, the machine learning model is stored in a POS host control module or an external recognition server.
Further, in a preferred mode of the present invention, the method further includes: and the payment password data acquisition mode can be selected through the display of the customer touch display screen module.
Further, in a preferred mode of the present invention, the method further includes: and sending out prompt sound for selecting the payment secret code data acquisition mode through a POS machine intelligent audio module.
The application also provides an intelligent POS machine system based on the Internet of things, including: the first acquisition module is used for acquiring external commodity information; the first generation module is used for counting the external commodity information and generating payment order data; the second acquisition and sending module is used for acquiring payment secret order data and uploading the payment order data and the payment secret order data to an external payment server; a first receiving module for receiving payment success data of an external payment server; and the first control module is used for displaying a payment success prompt and printing order data.
The application also provides an intelligent POS machine system based on thing networking, and this system includes: a POS machine main control module; the face recognition module is in signal connection with the POS machine master control module and is used for acquiring the payment secret code data; the two-dimensional code scanning module is in signal connection with the POS machine master control module and is used for acquiring the payment secret code data; the touch panel is in signal connection with the POS machine main control module; the customer touch display screen module is in signal connection with the POS machine main control module; the thermal printing control module is in signal connection with the POS machine main control module; the POS machine intelligent audio module is in signal connection with the POS machine main control module; the electronic scale module is in signal connection with the POS machine main control module; and the POS machine intelligent power supply module is in signal connection with the POS machine main control module.
The present application also provides an electronic device, including: a processor, a memory; the memory is used for storing a computer program for executing the control method of the intelligent POS machine system based on the Internet of things in the first technical scheme; the processor is used for executing the computer program of the control method of the intelligent POS machine system based on the Internet of things in the first technical scheme.
Compared with the prior art, the control method of the intelligent POS machine system based on the Internet of things comprises the following steps: obtaining external commodity information; counting the external commodity information to generate payment order data; acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server; receiving payment success data of an external payment server; and displaying a payment success prompt and printing order data. The technical scheme that this application relates to, compare in prior art, it can improve the efficiency of making change, improves the security that money and money were deposited.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic view of a control method of an intelligent POS system based on the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic overall flow chart of a control method of an intelligent POS machine system based on the internet of things according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating the process of identifying weight data of an article according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating the process of identifying the type of merchandise according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an intelligent POS system based on the internet of things according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all 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 application.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly disposed on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "first," "second," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "plurality" or "a plurality" means two or more unless specifically limited otherwise.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the practical limit conditions of the present application, so that the modifications of the structures, the changes of the ratio relationships, or the adjustment of the sizes, do not have the technical essence, and the modifications, the changes of the ratio relationships, or the adjustment of the sizes, are all within the scope of the technical contents disclosed in the present application without affecting the efficacy and the achievable purpose of the present application.
As shown in fig. 1 to 5, a method for controlling an intelligent POS system based on an internet of things according to an embodiment of the present application includes the following steps: obtaining external commodity information; counting the external commodity information to generate payment order data; acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server; receiving payment success data of an external payment server; and displaying a payment success prompt and printing order data.
The embodiment of the invention provides a control method of an intelligent POS machine system based on the Internet of things, which specifically comprises the following steps: obtaining external commodity information; counting the external commodity information to generate payment order data; acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server; receiving payment success data of an external payment server; and displaying a payment success prompt and printing order data. Generating payment order data according to the acquired external commodity information; the remote deduction is realized by uploading the obtained payment secret code data and the payment order data to an external payment server, such as a WeChat/Payment treasure, after the payment success data is received, a payment success prompt is displayed, the order data is printed, and finally the approval sales work of the commodity is realized in one go. Compared with the prior art, the technical scheme can greatly improve the speed of the commodity approval and sale process and improve the safety of online payment.
Specifically, in the embodiment of the present invention, the method further includes the following steps: and acquiring commodity weight data and recording the data into the external commodity information.
Specifically, in the embodiment of the present invention, the acquiring the weight data of the commodity, and the counting the external commodity information includes: identifying the type data of the prior commodity and acquiring the weight data of the prior commodity; identifying the type data of the following commodities and acquiring the weight data of the following commodities; the weight data for the following commodity is obtained by subtracting the weight of the preceding commodity from the total weight of the preceding and following commodities.
It should be noted that, in this embodiment, by matching the commodity type identification and the commodity weight identification, the one-time weighing and charging of various commodities to be weighed is realized, and the charging approval work of the commodities to be weighed is greatly reduced. In the prior art, when a consumer needs to purchase a plurality of vegetables in bulk, the consumer needs to go to a special weighing position, a special service person identifies the categories of the commodities, and then the commodities, such as the vegetables, are weighed and marked one by one. The process enables consumers to need to distribute two sides in a physical supermarket, and shopping experience is affected. According to the technical scheme, the consumer can directly realize direct weighing and charging of bulk commodities at the cash register, the weighing times of the consumer are reduced, and the consumption experience is improved.
Specifically, in the embodiment of the present invention, the identifying the preceding/following commodity type data includes the following steps: acquiring commodity image data; importing the commodity image data into a machine learning model, and outputting the identified commodity type data; the machine learning model is trained from known training set data and test set data.
It should be noted that the technical solution provided by the present application is to be applied to the technical solution of machine learning matured in the prior art. Therefore, a cashier is not required to memorize the type data of the bulk commodities, so that the settlement efficiency of various commodities is further improved, and the consumption experience is improved.
It should be noted that the types of bulk commodities sold in most supermarkets and shops are basically the same, and machine learning training can be uniformly performed on the types of bulk commodities.
Specifically, in the embodiment of the present invention, the machine learning model is stored in the POS host control module or the external recognition server.
Specifically, in the embodiment of the present invention, the method further includes: and the payment password data acquisition mode can be selected through the display of the customer touch display screen module.
Specifically, in the embodiment of the present invention, the method further includes: and sending out prompt sound for selecting the payment secret code data acquisition mode through a POS machine intelligent audio module.
The application also provides an intelligent POS machine system based on the Internet of things, including: the first acquisition module is used for acquiring external commodity information; the first generation module is used for counting the external commodity information and generating payment order data; the second acquisition and sending module is used for acquiring payment secret order data and uploading the payment order data and the payment secret order data to an external payment server; a first receiving module for receiving payment success data of an external payment server; and the first control module is used for displaying a payment success prompt and printing order data. The technical scheme also has the technical effect which can be achieved by the first technical scheme.
The application also provides an intelligent POS machine system based on thing networking, and this system includes: POS owner accuse module 1; the face recognition module 2 is in signal connection with the POS machine main control module 1 and is used for acquiring the payment secret code data; the two-dimensional code scanning module 3 is in signal connection with the POS machine master control module 1 and is used for acquiring the payment secret code data; the touch panel 9 is in signal connection with the POS machine main control module 1; the customer touch display screen module 5 is in signal connection with the POS machine main control module 1; the thermal printing control module 4 is in signal connection with the POS machine main control module 1; the POS machine intelligent audio module 7 is in signal connection with the POS machine main control module 1; the electronic scale module 8 is in signal connection with the POS machine main control module 1; and the POS machine intelligent power supply module 6 is in signal connection with the POS machine main control module 1. The technical solutions related to the embodiments of the present application also have the technical effects that can be achieved by the first technical solution.
More specifically, the face recognition module 2 includes: the system comprises a camera terminal and a face recognition preprocessing unit; the camera terminal is used for collecting the video of the detected person; the face recognition preprocessing unit is connected with the camera terminal and used for receiving the video of the detected person collected by the camera terminal in real time, extracting the face information of the detected person from the video of the detected person and transmitting the face information of the detected person to the background server; the background server is used for judging whether the face information transmitted by the face recognition preprocessing unit is consistent with the face image corresponding to the identity information of the detected person or not and feeding back the judgment result to the front-end processor. The camera terminal supports an RTSP protocol or a GB28181 protocol, and more specifically, the face recognition preprocessing unit is further configured to track the face of the detected person in a video of the detected person shot by the camera terminal and received in real time, and the face recognition preprocessing unit is further configured to transmit the acquired identity information of the detected person to the background server.
More specifically, the two-dimensional code scanning module 3 includes a two-dimensional code scanning camera for collecting image information of the two-dimensional code; the image processing module is in communication connection with the two-dimensional code scanning camera and is used for processing the acquired image information of the two-dimensional code to obtain identification information in the image information; the main control module is in communication connection with the image processing module and is used for receiving the identification information sent by the image processing module and performing corresponding service processing on the identification information; and the gesture control module is connected with the two-dimensional code scanning camera and used for recognizing gesture actions and controlling the two-dimensional code scanning camera to adjust the direction.
More specifically, two-dimensional code scanning camera includes the camera, the control unit, communication unit and 6 ~ 12 LED lamps, camera, communication unit and LED lamp respectively with the control unit electric connection, the LED lamp sets up on the camera, the control unit is used for controlling the camera to gather the image information of two-dimensional code and send image information through the communication unit to and be used for controlling the LED lamp and send light.
More specifically, in the embodiment of the present invention, the method further includes: the finger curvature detection sensing module is in communication connection with the gesture control module; the arm bending degree detection sensing module is in communication connection with the gesture control module; and the space motion sensing module is in communication connection with the gesture control module.
The present application also provides an electronic device, including: a processor, a memory; the memory is used for storing a computer program for executing the control method of the intelligent POS machine system based on the Internet of things in the first technical scheme; and the processor is used for executing the computer program of the control method of the intelligent POS machine system based on the Internet of things in the first technical scheme. The technical scheme also has the technical effect which can be achieved by the first technical scheme.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A control method of an intelligent POS machine system based on the Internet of things is characterized by comprising the following steps:
obtaining external commodity information;
counting the external commodity information to generate payment order data;
acquiring payment secret code data, and uploading the payment order data and the payment secret code data to an external payment server;
receiving payment success data of an external payment server;
and displaying a payment success prompt and printing order data.
2. The control method of the intelligent POS machine system based on the internet of things as claimed in claim 1, wherein the method further comprises the following steps:
and acquiring commodity weight data and recording the data into the external commodity information.
3. The control method of the intelligent POS machine system based on the internet of things of claim 2, wherein the obtaining of the weight data of the commodity and the accounting of the external commodity information comprises:
identifying the type data of the prior commodity and acquiring the weight data of the prior commodity;
identifying the type data of the following commodities and acquiring the weight data of the following commodities;
the weight data for the following commodity is obtained by subtracting the weight of the preceding commodity from the total weight of the preceding and following commodities.
4. The control method of the intelligent POS machine system based on the internet of things of claim 2, wherein the identifying the prior/subsequent commodity type data comprises the following steps:
acquiring commodity image data;
importing the commodity image data into a machine learning model, and outputting the identified commodity type data;
the machine learning model is trained from known training set data and test set data.
5. The control method of the intelligent POS machine system based on the Internet of things of claim 4, wherein the machine learning model is stored in a POS machine main control module or an external identification server.
6. The control method of the intelligent POS machine system based on the internet of things of claim 1, wherein the method further comprises the following steps:
and the payment password data acquisition mode can be selected through the display of the customer touch display screen module.
7. The method for controlling an intelligent POS machine system based on the Internet of things of claim 6, wherein the method further comprises the following steps:
and sending out prompt sound for selecting the payment secret code data acquisition mode through a POS machine intelligent audio module.
8. An internet-of-things-based intelligent POS system for applying the control method of the internet-of-things-based intelligent POS system according to any one of claims 1 to 7, comprising:
the first acquisition module is used for acquiring external commodity information;
the first generation module is used for counting the external commodity information and generating payment order data;
the second acquisition and sending module is used for acquiring payment secret order data and uploading the payment order data and the payment secret order data to an external payment server;
a first receiving module for receiving payment success data of an external payment server;
and the first control module is used for displaying a payment success prompt and printing order data.
9. An intelligent POS machine system based on the internet of things, which is used for applying the control method of the intelligent POS machine system based on the internet of things of any one of claims 1 to 7, and is characterized by comprising the following steps:
a POS machine main control module;
the face recognition module is in signal connection with the POS machine master control module and is used for acquiring the payment secret code data;
the two-dimensional code scanning module is in signal connection with the POS machine master control module and is used for acquiring the payment secret code data;
the touch panel is in signal connection with the POS machine main control module;
the customer touch display screen module is in signal connection with the POS machine main control module;
the thermal printing control module is in signal connection with the POS machine main control module;
the POS machine intelligent audio module is in signal connection with the POS machine main control module;
the electronic scale module is in signal connection with the POS machine main control module;
and the POS machine intelligent power supply module is in signal connection with the POS machine main control module.
10. An electronic device, comprising: a processor, a memory; the memory, which is used for storing a computer program for executing the control method of the intelligent POS machine system based on the Internet of things of any one of the claims 1 to 7;
the processor is used for executing a computer program for calculating the control method of the intelligent POS machine system based on the Internet of things according to any one of the claims 1 to 7.
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Application publication date: 20220401 |