CN116611833A - Commodity settlement method and system based on AI commodity identification - Google Patents
Commodity settlement method and system based on AI commodity identification Download PDFInfo
- Publication number
- CN116611833A CN116611833A CN202310328086.XA CN202310328086A CN116611833A CN 116611833 A CN116611833 A CN 116611833A CN 202310328086 A CN202310328086 A CN 202310328086A CN 116611833 A CN116611833 A CN 116611833A
- Authority
- CN
- China
- Prior art keywords
- commodity
- user
- payment
- order
- amount
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000002159 abnormal effect Effects 0.000 claims description 39
- 238000012549 training Methods 0.000 claims description 30
- 230000009471 action Effects 0.000 claims description 27
- 238000004590 computer program Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 12
- 238000007726 management method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 241000207961 Sesamum Species 0.000 description 3
- 235000003434 Sesamum indicum Nutrition 0.000 description 3
- 235000013361 beverage Nutrition 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000001934 delay Effects 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000005484 gravity Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000012550 audit Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000002537 cosmetic Substances 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 235000019640 taste Nutrition 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/20—Point-of-sale [POS] network systems
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/02—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
Abstract
The application provides a commodity settlement method and a commodity settlement system based on AI commodity identification, which are used for acquiring credit information of a user based on a door opening request of the user, and controlling a cabinet door to be opened when the credit information meets a preset credit threshold; identifying the extracted commodity information; when the cabinet door is sensed to be closed, calculating the amount to be paid of the taken commodity according to commodity information; generating a payment order based on the amount to be paid of the commodity, and sending the payment order to a corresponding user; and receiving a payment result of the corresponding user, and settling the payment order according to the payment result. Through implementation of the scheme, the user can directly select commodities in the dynamic cabinet after meeting the door opening condition of the dynamic cabinet, and settle orders after closing the door, so that time for identifying paper money and slowly delivering the commodity is saved, the whole purchasing process is natural and smooth, and purchasing experience of the user is improved.
Description
Technical Field
The application relates to the field of intelligent vending machines, in particular to a commodity settlement method and system based on AI commodity identification.
Background
The Vending Machine, english name (VEM), is a Machine capable of automatically paying money according to the inserted money. The vending machine is a common commercial automation device, is not limited by time and place, and can save manpower and facilitate transaction. Is a brand new form of commercial retail, also known as a 24 hour open supermarket. Common vending machines fall into four categories: beverage vending machine, food vending machine, all-in-one vending machine, and cosmetics vending machine.
The conventional vending machine often delays the time of the user because of long time spent in identifying paper money or slow shipment speed in the commodity vending process, and influences the consumption experience of the user.
Disclosure of Invention
The embodiment of the application provides a commodity settlement method and a commodity settlement system based on AI commodity identification, which at least can solve the problems that the bill identification in the related technology takes a long time or the shipment speed is slow, delays the time of a user and influences the consumption experience of the user.
The first aspect of the embodiment of the application provides a commodity settlement method, which comprises the following steps:
based on a door opening request of a user, acquiring credit information of the user, and controlling the door to be opened when the credit information exceeds a preset credit threshold;
identifying the extracted commodity information;
when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to the commodity information;
generating a payment order based on the amount to be paid of the commodity, and sending the payment order to a corresponding user;
and receiving a payment result of the corresponding user, and settling the payment order according to the payment result.
Optionally, the step of identifying the fetched commodity information includes:
acquiring image information of the commodity taken out by the user;
scanning the commodity selected by the user in the image information;
and identifying the scanned implementation commodity through a preset training model, and determining commodity information taken out by the user.
Optionally, when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to the commodity information, including:
when a first action of taking out the commodity exists in the video, calculating the commodity taking-out amount of the commodity identified by the training model;
when a second action of replacing commodities exists in the video, calculating the commodity replacement amount of the commodities identified by the training model;
when the cabinet door is sensed to be closed, the commodity amount to be paid of the fetched commodity is calculated by subtracting the commodity amount to be put back of all the second actions from the commodity amount to be fetched of all the first actions.
Optionally, the step of settling the payment order according to the payment result includes:
if the payment order is successfully paid, directly settling the payment order;
and if the payment order fails to be paid, modifying the payment order into an abnormal order.
Optionally, after the step of directly settling the payment order if the payment order is successfully paid, the method further includes:
carrying out payment order information verification on the settled payment order;
when the paid order information is wrong, and the paid amount is smaller than the actual amount, generating a new paid order based on the difference value between the paid amount and the actual amount;
or, when the payment order information errors result in the paid amount being greater than the actual amount, refunds the difference to the user's payment terminal.
Optionally, after the step of modifying the payment order into an abnormal order, the method further includes:
the order information of the abnormal order is sent to a corresponding user terminal, and the user is prompted to pay for the abnormal order;
and if the user does not pay the abnormal order within the preset time, the identity information of the user is listed in a blacklist.
Optionally, after the step of modifying the payment order into an abnormal order, the method further includes:
and when the user terminal has a preset number of outstanding orders within the preset time period, limiting the user terminal to continue to purchase goods on the dynamic cabinet.
A second aspect of an embodiment of the present application provides a commodity settlement system, including:
the acquisition module is used for acquiring credit information of the user based on a door opening request of the user, and controlling the door to be opened when the credit information meets a preset credit threshold;
the identification module is used for identifying the extracted commodity information;
the calculation module is used for calculating the amount to be paid of the fetched commodity according to the commodity information when the cabinet door is sensed to be closed;
the generation module is used for generating a payment order based on the amount to be paid of the commodity and sending the payment order to the corresponding user;
and the settlement module is used for receiving the payment result of the corresponding user and settling the payment order according to the payment result.
A third aspect of the embodiment of the present application provides an electronic device, which is characterized by comprising a memory and a processor, wherein the processor is configured to execute a computer program stored on the memory, and when the processor executes the computer program, the processor performs each step in the commodity settlement method provided in the first aspect of the embodiment of the present application.
A fourth aspect of the embodiment of the present application provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the commodity settlement method provided in the first aspect of the embodiment of the present application.
As can be seen from the above, according to the commodity settlement method, device, equipment and computer readable storage medium provided by the scheme of the application, the credit information of the user is obtained based on the door opening request of the user, and when the credit information meets the preset credit threshold, the door is controlled to be opened; identifying the extracted commodity information; when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to the commodity information; generating a payment order based on the amount to be paid of the commodity, and sending the payment order to a corresponding user; and receiving a payment result of the corresponding user, and settling the payment order according to the payment result. Through implementation of the scheme, the user can directly select commodities in the dynamic cabinet after meeting the door opening condition of the dynamic cabinet, and settle orders after closing the door, so that time for identifying paper money and slowly delivering the commodity is saved, the whole purchasing process is natural and smooth, and purchasing experience of the user is improved.
Drawings
Fig. 1 is a basic flow diagram of a commodity settlement method according to an embodiment of the present application;
fig. 2 is an exemplary flowchart of a commodity settlement method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of another exemplary method for settlement of goods according to an embodiment of the present application;
fig. 4 is a schematic program module diagram of a commodity settlement system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more comprehensible, the technical solutions in the embodiments of the present application will be clearly described in conjunction with the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order to solve the problem that the recognition of paper money takes a long time or the delivery speed is slow to delay the time of a user and affects the consumption experience of the user in the related art, a first embodiment of the present application provides a commodity settlement method, such as fig. 1 is a basic flowchart of the commodity settlement method provided in the present embodiment, and the commodity settlement method includes the following steps:
step 110, based on the door opening request of the user, the credit information of the user is obtained, and when the credit information meets the preset credit threshold, the door of the cabinet is controlled to be opened.
Specifically, the user can realize the operation flow of firstly opening the door to take goods and then paying and settling accounts through the credit mortgage of the WeChat/payment bank, and the operation flow is convenient and smooth. In this embodiment, when the user uses the dynamic cabinet (an intelligent vending machine), the user can consume the dynamic cabinet by way of scanning a code by WeChat or payment bank, scanning a silver-colored or campus card, and paying cash, wherein when the user uses the WeChat or payment bank to consume the dynamic cabinet, the dynamic cabinet can verify the credit information of the user, and the two-dimensional code scanning way is used to obtain the WeChat credit of the user or the sesame credit of the payment bank. For example, the preset door opening condition is that the micro-credit score is higher than 550 score or the sesame credit score is higher than 550 score, and when the displayed micro-credit score or sesame credit score is higher than 550 score after the user scans the code through the mobile phone, the door of the dynamic cabinet can be opened through the door opening button displayed on the mobile phone interface.
Step 120, identifying the fetched commodity information;
and 130, when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to commodity information.
In particular, the dynamic cabinet is a novel unmanned vending machine. The method realizes the identification of commodities taken by a user through gravity or a dynamic video visual algorithm, thereby determining the amount of the order. In practical application, compare in traditional vending machine, the dynamic cabinet can open the door and let the user select commodity by oneself, and commodity in the dynamic cabinet can be more intensive put, need not to closely contrast the virtual show of backstage and put, can effectively improve the capacity of the cabinet body in the unit volume, but also because the dynamic cabinet is not independently release the commodity of customer's choosing, can't discern the price of commodity. In this embodiment, the dynamic cabinet is additionally provided with a gravity or dynamic video visual algorithm, when the user takes out the commodity, the dynamic cabinet determines the commodity selected by the user according to the reduced weight on the shelf and the video or image recorded by the camera when the user takes out the commodity from the dynamic cabinet, and calculates the price of the commodity.
Optionally, because the weight and appearance packages of many puffed food and canned beverage are very similar, the condition of identifying multiple commodity appears easily in the identification process, and this time, the dynamic cabinet can set this time order as suspected order, can send the video of suspected order to the backstage to remind the operator to carry out manual identification, ensure the accuracy of order. In the process, the user can take the payment terminal and walk the payment amount, and the payment amount is sent to the payment terminal of the user in a delayed manner, so that the purchase experience of the user is not affected.
And 140, generating a payment order based on the amount to be paid of the commodity, and sending the payment order to the corresponding user.
Specifically, the payment amount which can be accurately identified by the dynamic cabinet is sent to a payment system corresponding to a consumption mode selected by a user for payment, for example, when the user uses the dynamic cabinet opened by the WeChat credit to make consumption shopping, the dynamic cabinet only sends a payment order to the WeChat of the user for waiting for the user to pay, and meanwhile, the payment order is generated at an operator terminal, and the selling record of the dynamic cabinet is stored.
Optionally, after the payment amount is sent to the payment terminal of the user, the user may choose to pay manually, or the dynamic cabinet may be set as a trusted device on the payment system before paying, and after the payment amount is sent to the payment terminal of the user, the payment is automatically performed.
And 150, receiving a payment result of the corresponding user, and settling the payment order according to the payment result.
Specifically, in this embodiment, the settlement manners generated by different payment results are different, for example, after the dynamic cabinet sends the payment amount to the payment terminal of the user, the user does not pay at a later time, and then the dynamic cabinet sends the payment order to the abnormal order module of the operator terminal to generate a piece of corresponding abnormal order information. If the user selects automatic payment but the balance is insufficient, generating abnormal order information; or if the payment order is successful, the payment order is directly settled, and only one piece of order information which is successful in payment is reserved for subsequent commodity selling and bill verification.
Based on the embodiment scheme of the application, based on a door opening request of a user, acquiring credit information of the user, and controlling the door to be opened when the credit information meets a preset credit threshold; identifying the extracted commodity information; when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to commodity information; generating a payment order based on the amount to be paid of the commodity, and sending the payment order to a corresponding user; and receiving a payment result of the corresponding user, and settling the payment order according to the payment result. Through implementation of the scheme, the user can directly select commodities in the dynamic cabinet after meeting the door opening condition of the dynamic cabinet, and settle orders after closing the door, so that time for identifying paper money and slowly delivering the commodity is saved, the whole purchasing process is natural and smooth, and purchasing experience of the user is improved.
In an alternative implementation manner of the embodiment of the present application, in a process of identifying a commodity selected by a user after opening a door, as shown in fig. 2, the method includes the following steps:
step 121, obtaining image information of a commodity taken out by a user;
step 122, scanning commodities selected by a user in the image information;
and 123, identifying the scanned commodity through a preset training model.
Specifically, in this embodiment, the cabinet door of the dynamic cabinet is provided with the camera, where the installation position and the number of the cameras can be determined according to the actual shape and the size of the dynamic cabinet, the camera is fixed on the cabinet door, when a user takes out a commodity and passes through a shooting area of the camera, the camera shoots the whole process of taking out the commodity by the user, the shooting mode includes but is not limited to video, image and other modes, and obtains the image information of taking out the commodity by the user, when the user takes out the commodity from the dynamic cabinet, the dynamic cabinet automatically uploads the video shot by the camera to the cloud server, and scans the commodity in the hand of the user at the cloud server, or the dynamic cabinet can directly scan the image information locally, and the scanned commodity is identified through a preset training model.
Optionally, in the scanning process, because the hands of the user are shielded, all outlines of the commodities cannot be directly scanned, a manually-audited training set needs to be added in a training set of the training model, the training set simulates the shape of the commodity shielded by the hands, the shape of the commodity is determined to be a special training set after the manual audit, and a standard training set is added in the training set required by the training model. The training set for a commodity at least comprises a complete six-view of the commodity and a visible view which is blocked by the hand of the user, for example, in a normal case, the user can hold the middle part of the commodity after selecting the commodity, so that the visible view which is blocked by the hand of the user and is used as a special training set for training. Through training the training model of training set, even the name and logo of commodity have all been covered by user's hand, also can discern through the partial characteristic that leaks, for example, canned beverage such as cola, cola and snow bi, appearance size dimension and weight are nearly the same, but the three has apparent difference in the pattern and the colour of jar body, even the user's hand covers the eyes such as cola, cola and snow bi, the training model can directly discern according to the training of special training set that the user holds in the hand and is cola, cola or snow bi, can provide the accuracy of dynamic cabinet to commodity discernment.
Optionally, the step of calculating a payment amount of the commodity includes: when a first action of taking out the commodity exists in the video, calculating the commodity taking-out amount of the commodity identified by the training model; when the second action of replacing the commodity exists in the video, calculating the commodity replacement amount of the commodity identified by the training model; when the cabinet door is sensed to be closed, the commodity amount to be paid of the fetched commodity is calculated by subtracting the commodity amount to be returned of all the second actions from the commodity amount to be fetched of all the first actions.
Specifically, the dynamic cabinet also needs to identify the type and quantity of the goods that the user finally selects. In one embodiment, the default user takes the first action of the merchandise as a free hand extending into the dynamic cabinet and taking the merchandise, and the corresponding second action is to return the merchandise to the dynamic cabinet and leave the dynamic cabinet. When a first action of a user appears in the video recorded by the camera, identifying the commodity taken out by the user and calculating the payment amount corresponding to the commodity; when the user in the video has a second action, after identifying the commodity in the second action, calculating the price of the commodity and subtracting the payment amount of the commodity from the previous original payment amount, thereby calculating the final payment amount of the user.
Optionally, in another embodiment, the user may further have a third action to replace the selected commodity, that is, the user replaces the commodity with the dynamic cabinet and reselects the commodity to be taken out of the dynamic cabinet, at this time, whether the commodity enters the dynamic cabinet or leaves the dynamic cabinet, the commodity is present in the hand of the user, so the dynamic cabinet needs to identify the commodity and the amount of the commodity when the user replaces the commodity, the commodity and the corresponding amount are also identified when the commodity is taken out, then the difference between the commodity replaced in the third action and the commodity taken out is calculated, and the final payment amount can be calculated by subtracting the difference between the amount replaced in the third action from the original payment amount before the third action, for example, the user takes out the commodity with 15 yuan in total before replacing the commodity, takes out the commodity with 5 yuan to be replaced in the dynamic cabinet, and takes out the commodity with 2 yuan, the difference = replaced commodity-taken out (5-2) =3 yuan, and then the final payment amount = original payment amount-difference (15-3) =12 yuan. It will be appreciated that the above calculation applies equally if the item being removed is more expensive than the item being replaced, i.e. the difference in amount is negative. Through calculating the payment amount under different circumstances, the accuracy of calculating the payment amount can be improved, and good consumption experience of a user is ensured.
In an alternative implementation manner of the embodiment of the present application, in a process of settling a payment order according to a payment result, as shown in fig. 3, the method includes the following steps:
step 141, if the payment order is successfully paid, directly settling the payment order;
step 142, if the payment of the payment order fails, the payment order is modified to an abnormal order.
Optionally, if the payment order is successful, the step of directly settling the payment order further includes: carrying out payment order information verification on the settled payment order; when the paid amount is smaller than the actual amount due to the error of the paid order information, generating a new paid order based on the difference between the paid amount and the actual amount; or, when the paid amount is greater than the actual amount due to the error of the payment order information, the difference is refunded to the user's payment terminal.
Specifically, in practical applications, due to the similarity between different commodities, or different prices of the same commodity (for example, different prices of different tastes of some commodities), the camera recognizes the wrong commodity and the price. Therefore, in this embodiment, after each generation of a payment order, payment order information of the payment order is stored, and in the inventory process of the commodity inventory in a preset period, the payment order information is verified by means of manual auditing, and the quantity change of the commodity in the dynamic cabinet before and after the payment order is compared, so that commodity information really purchased by a user when the order is generated is determined. When the manual checking finds that the payment order information has errors, the payment order is immediately modified into an abnormal order, if the payment amount is smaller than the actual amount due to the errors of the payment order information, the abnormal order can be supplemented through an abnormal order entry even after the payment order is settled, namely, a to-be-paid order is regenerated according to the difference between the payment amount and the actual amount, the correct order information and the regenerated to-be-paid order are sent to a payment terminal of a user, and the user is prompted to pay again; if the payment order information is wrong, the payment amount is larger than the actual amount, and the refund checking entrance is used for refund the multi-payment amount to the payment terminal of the user. The payment order information errors include, but are not limited to, errors in identification algorithm identification of the dynamic cabinet caused by high similarity of commodities, failure in identification of the commodities caused by the fact that the user thinks that the commodities are blocked or the cameras are blocked, and the like.
Optionally, after the step of modifying the payment order to an abnormal order, the method further includes: the order information of the abnormal order is sent to the user terminal through the after-sale service module, and the user is prompted to pay for the abnormal order; if the user does not pay the abnormal order within the preset time, the identity information of the user is listed in a blacklist.
Specifically, after the dynamic cabinet sends the payment amount to the payment terminal of the user, the user does not pay later, then the dynamic cabinet sends the payment order to an abnormal order module of the operator terminal to generate corresponding abnormal order information, the operator can select to send the abnormal order information to the user terminal (such as a mobile phone, a smart watch and other intelligent terminals) in a mode of after-sale service (such as manual call, short message sending and other modes), the user is prompted to pay on the abnormal order within a specified time range, the operator sets the specific time, and when the specific time is exceeded, if the user does not pay on the abnormal order, the identity information of the user is directly listed in a blacklist, and the user is forbidden to scan the two-dimension code on the dynamic cabinet to make shopping, so that the operator loss caused by excessive conditions of escaping orders is prevented.
It can be understood that after the user is blacklisted, the corresponding credit score of the user is deducted according to the credit information of the user provided during code scanning, and the deducted specific value can reduce the credit score of the user below a preset threshold value of any equipment requiring the credit score for authorization, so that the user cannot perform any consumption action through the credit score, such as code scanning, unlocking, sharing, code scanning, borrowing, and the like. If the user wants to recover the reputation score, the user must pay for the abnormal order and apply for blacklist removal, thereby tracking back the operator's loss.
Optionally, after the step of modifying the payment order to an abnormal order, the method further includes: and when the user terminal has a preset number of outstanding orders in the preset time, limiting the user terminal to continue to purchase the commodity on the dynamic cabinet.
Specifically, when a user has an order that is not paid, consumption can still be performed on the dynamic cabinet by scanning the code within a specified time, but if the user has a second unpaid order within the specified time, the management system of the dynamic cabinet will limit the user to continue to consume.
Alternatively, if the user consumes the first outstanding order for a prescribed period of time and generates a second outstanding order, but the user pays the first outstanding order at this time, the dynamic cabinet management system will again calculate for the prescribed period of time for the second outstanding order, during which the user can consume again.
Fig. 4 is a schematic diagram of a commodity settlement system according to an embodiment of the present application, where the commodity settlement system may be used to implement the commodity settlement method in the foregoing embodiment. As shown in fig. 4, the commodity settlement system mainly includes:
the acquisition module 10 is used for acquiring credit information of a user, and granting the user the door opening authority when the credit information meets the door opening condition of the dynamic cabinet;
the identification module 20 is used for identifying the goods selected by the user after the door is opened;
the calculating module 30 is used for calculating the amount to be paid of the fetched commodity according to commodity information when the cabinet door is sensed to be closed;
a generation module 40 for sending the payment amount to the payment system of the user for payment and generating a payment order;
the settlement module 50 is used for settling the payment order according to the payment result.
In an alternative implementation manner of this embodiment, the identification module is specifically configured to: acquiring videos of commodities selected by a user through cameras on the left side and the right side of the cabinet door; uploading the video to a cloud server, and scanning out commodities selected by a user in the video; and identifying the scanned commodity through a preset training model.
Further, in an alternative implementation manner of this embodiment, the identification module is specifically configured to, when executing the function of calculating the payment amount of the commodity: when a first action of taking out the commodity exists in the video, calculating the payment amount of the commodity identified by the training model; when the second action of putting back the commodity exists in the video, the commodity difference before and after the second action is identified through the training model, and the payment amount is calculated according to the commodity difference.
Further, in another alternative implementation manner of the present embodiment, the commodity settlement system further includes: and a verification module. The verification module is used for: carrying out order information verification on the payment order through a camera; when the commodity identification error is caused by the dynamic cabinet, the payment amount is smaller than the actual amount, the order is supplemented through the abnormal order entry; or when the commodity identification error of the dynamic cabinet results in the payment amount being larger than the actual amount, the refund amount is refunded to the payment terminal of the user through the refund auditing entrance.
In an alternative implementation manner of this embodiment, the settlement module is specifically configured to: if the payment order is successful, directly settling and closing the payment order; if the payment order fails to pay, the payment order is modified to be an abnormal order.
Further, in an alternative implementation manner of this embodiment, the commodity settlement system further includes: the system comprises a sending module and a management module. The sending module is used for: and sending order information of the abnormal order to the user terminal through the after-sale service module, and prompting the user to pay the abnormal order. The management module is used for: if the user does not pay the abnormal order within the preset time, the identity information of the user is listed in a blacklist.
Further, in another alternative implementation manner of the present embodiment, the commodity settlement system further includes: the device comprises a display module and a prompt module. The display module is used for: and when the user performs shopping again, displaying abnormal order information on a door opening interface of the user terminal. The prompt module is used for: and prompting the user to pay for the abnormal order according to the abnormal order information. The management module is also used for: if the user has not paid the abnormal order, limiting the shopping behavior of the user.
According to the commodity settlement system provided by the scheme of the application, the credit information of the user is obtained, and when the credit information meets the door opening condition of the dynamic cabinet, the door opening authority of the user is granted; identifying commodities selected by a user after opening the door, and calculating payment amount of the commodities; transmitting the payment amount to a payment system of the user for payment and generating a payment order; and settling the payment order according to the payment result. Through implementation of the scheme, the user can directly select commodities in the dynamic cabinet after meeting the door opening condition of the dynamic cabinet, and settle orders after closing the door, so that time for identifying paper money and slowly delivering the commodity is saved, the whole purchasing process is natural and smooth, and purchasing experience of the user is improved.
Fig. 5 is an electronic device provided in an embodiment of the present application. The electronic device may be used for implementing the commodity settlement method in the foregoing embodiment, and mainly includes:
memory 501, processor 502, and computer program 503 stored on memory 501 and executable on processor 502, memory 501 and processor 502 being connected by communication. The processor 502, when executing the computer program 503, implements the commodity settlement method in the foregoing embodiment. Wherein the number of processors may be one or more.
The memory 501 may be a high-speed random access memory (RAM, random Access Memory) memory or a non-volatile memory (non-volatile memory), such as a disk memory. The memory 501 is used for storing executable program codes, and the processor 502 is coupled to the memory 501.
Further, an embodiment of the present application further provides a computer readable storage medium, which may be provided in the electronic device in each of the foregoing embodiments, and the computer readable storage medium may be a memory in the foregoing embodiment shown in fig. 5.
The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the commodity settlement method in the foregoing embodiment. Further, the computer-readable medium may be any medium capable of storing a program code, such as a usb (universal serial bus), a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a readable storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned readable storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The foregoing describes the method, apparatus, device and computer readable storage medium for commodity settlement according to the present application, and those skilled in the art, based on the concepts of the embodiments of the present application, will be able to implement the present application in various aspects, and in summary, the present disclosure should not be construed as limited to the present application.
Claims (10)
1. A commodity settlement method, comprising:
based on a door opening request of a user, acquiring credit information of the user, and controlling the door to be opened when the credit information meets a preset credit threshold;
identifying the extracted commodity information;
when the cabinet door is sensed to be closed, calculating the amount to be paid of the fetched commodity according to the commodity information;
generating a payment order based on the amount to be paid of the commodity, and sending the payment order to a corresponding user;
and receiving a payment result of the corresponding user, and settling the payment order according to the payment result.
2. The commodity settlement method as claimed in claim 1, wherein the step of identifying the fetched commodity information comprises:
acquiring image information of the commodity taken out by the user;
scanning the commodity selected by the user in the image information;
and identifying the scanned commodity through a preset training model, and determining commodity information taken out by the user.
3. The commodity settlement method according to claim 2, wherein the step of calculating the amount to be paid of the fetched commodity according to the commodity information when the cabinet door is sensed to be closed, comprises:
when a first action of taking out the commodity exists in the video, calculating the commodity taking-out amount of the commodity identified by the training model;
when a second action of replacing commodities exists in the video, calculating the commodity replacement amount of the commodities identified by the training model;
when the cabinet door is sensed to be closed, the commodity amount to be paid of the fetched commodity is calculated by subtracting the commodity amount to be put back of all the second actions from the commodity amount to be fetched of all the first actions.
4. The commodity settlement method according to claim 1, wherein the step of settling the payment order according to the payment result comprises:
if the payment order is successfully paid, directly settling the payment order;
and if the payment order fails to be paid, modifying the payment order into an abnormal order.
5. The commodity settlement method according to claim 4, wherein after the step of directly settling the payment order if the payment order is successfully paid, further comprising:
carrying out payment order information verification on the settled payment order;
when the paid order information is wrong, and the paid amount is smaller than the actual amount, generating a new paid order based on the difference value between the paid amount and the actual amount;
or, when the payment order information errors result in the paid amount being greater than the actual amount, refunds the difference to the user's payment terminal.
6. The merchandise settlement method according to claim 4, wherein after said step of modifying said payment order to an abnormal order, further comprising:
the order information of the abnormal order is sent to a corresponding user terminal, and the user is prompted to pay for the abnormal order;
and if the user does not pay the abnormal order within the preset time, the identity information of the user is listed in a blacklist.
7. The merchandise settlement method according to claim 6, wherein after said step of modifying said payment order to an abnormal order, further comprising:
and when the user terminal has a preset number of outstanding orders within the preset time period, limiting the user terminal to continue to purchase goods on the dynamic cabinet.
8. A commodity settlement system, comprising:
the acquisition module is used for acquiring credit information of the user based on a door opening request of the user, and controlling the door to be opened when the credit information meets a preset credit threshold;
the identification module is used for identifying the extracted commodity information;
the calculation module is used for calculating the amount to be paid of the fetched commodity according to the commodity information when the cabinet door is sensed to be closed;
the generation module is used for generating a payment order based on the amount to be paid of the commodity and sending the payment order to the corresponding user;
and the settlement module is used for receiving the payment result of the corresponding user and settling the payment order according to the payment result.
9. An electronic device comprising a memory and a processor, wherein:
the processor is used for executing the computer program stored on the memory;
the processor, when executing the computer program, implements the steps of the commodity settlement method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the commodity settlement method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310328086.XA CN116611833A (en) | 2023-03-30 | 2023-03-30 | Commodity settlement method and system based on AI commodity identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310328086.XA CN116611833A (en) | 2023-03-30 | 2023-03-30 | Commodity settlement method and system based on AI commodity identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116611833A true CN116611833A (en) | 2023-08-18 |
Family
ID=87684272
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310328086.XA Pending CN116611833A (en) | 2023-03-30 | 2023-03-30 | Commodity settlement method and system based on AI commodity identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116611833A (en) |
-
2023
- 2023-03-30 CN CN202310328086.XA patent/CN116611833A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108806074B (en) | Shopping information generation method and device and storage medium | |
| US8746557B2 (en) | Secure self-checkout | |
| CN108564420B (en) | Intelligent retail system network | |
| CN106971457A (en) | Self-service vending method and system | |
| CN108171172A (en) | Self-help shopping method, self-service sale device and computer readable storage medium | |
| CN109190705A (en) | Self-service method, apparatus and system | |
| CN106920152A (en) | Self-service vending method and system | |
| CN107016783A (en) | Self-service vending method and device | |
| CN107967603B (en) | Shopping settlement method and selling equipment | |
| CN109272679B (en) | Intelligent shopping method and device and computer readable storage medium | |
| CN106920153A (en) | Self-service vending method and system | |
| JP7068450B2 (en) | Product recognition methods, devices and systems based on visual and gravity sensing | |
| CN108198315A (en) | A kind of auth method and authentication means | |
| CN109147174A (en) | A kind of self-service method, server and self-service cabinet | |
| CN109784880A (en) | The method and system of cross-border transaction | |
| CN109166232A (en) | A kind of automatic vending machine control method and system | |
| KR101458593B1 (en) | System and method for verifying online deal | |
| CN111222870A (en) | Settlement method, device and system | |
| CN108806075A (en) | The shipment control method and device of machine for vending, storage medium | |
| KR20110135260A (en) | Individual prepayment system, and operating method thereof | |
| CN113554812B (en) | Automatic sales counter and control system and control method | |
| CN112150252A (en) | Credit-based service processing method and device | |
| CN113066225A (en) | Shopping method based on shared refrigerator and shared refrigerator | |
| CN110084960B (en) | RFID technology-based unmanned vending method and device | |
| CN112150145A (en) | Game account transaction method, system and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |