Method and device for product payment in unmanned stores

Abstract

A method and apparatus for product payment in an unmanned store are disclosed. An unmanned store product payment apparatus according to one embodiment of the present invention may include: a first transport unit for transporting products; a first product recognition unit for recognizing that products have been placed in the first transport unit; a weight sensor for measuring the weight of the products; a scanning unit for scanning the barcode and image of the products transported by the first transport unit; a processor for identifying what the products are based on the barcode and image of the products scanned by the scanning unit and the weight of the products measured by the weight sensor, using artificial intelligence learning data; a product classification unit for classifying the products so that they are classified into a first section or a second section based on the product identification result; a calculation unit for calculating a total amount; a display unit for providing the user with the total amount and product list calculated by the calculation unit; and a control unit for controlling the operation of the first transport unit and the product classification unit.

Description

Technical Field

[0001] The present invention relates to a method and apparatus for settling accounts for products in a unmanned store.

Background Art

[0002] The content described below merely provides background information related to only one embodiment of the present invention and does not constitute the prior art.

[0003] Attempts have been made to achieve labor savings and accuracy improvement by automating all processes of logistics, such as product production, shipping, transportation, unloading, packing, storage, and settlement (calculation, accounting). Automation of logistics has effects such as cost reduction due to labor savings and prevention of safety accidents, and also enables shortening of the time required for logistics and systematic management.

[0004] Particularly, when a customer attempts to settle the payment for products in a store, the store clerk uses a barcode scanning device to perform barcode scanning for each product to settle the payment for the products. Therefore, the time required for settling the payment for the products is prolonged, the useless waiting time of the customer and the congestion in the store increase, and there is also a problem that the operation and management costs of the store increase due to hiring clerks for settling the payment for the products.

[0005] For this reason, there is currently a strong desire for a technology that can quickly and accurately settle accounts for products that customers attempt to settle unmanned.

Summary of the Invention

Problems to be Solved by the Invention

[0006] An object of the present invention is to provide a method for settling accounts for products in a unmanned store.

[0007] Another object of the present invention is to increase the recognition rate of products using artificial intelligence learning data and quickly and accurately settle accounts for the products.

[0008] Furthermore, the present invention aims to improve the accuracy of product classification by using a product classification unit that includes a conveyor belt. [Means for solving the problem]

[0009] A product payment device for an unmanned store according to one embodiment of the present invention for achieving the above objectives includes: a first transport unit for transporting products to scan products that a user intends to purchase; a first product recognition unit provided at a first point where the transport of products by the first transport unit begins and which recognizes that a product has been placed on the first transport unit; a weight sensor provided on one side of the lower part of the first transport unit for measuring the weight of the product; a scanning unit provided at a distance above the first transport unit corresponding to a preset distance and which scans the barcode and image of the product being transported by the first transport unit; and a program that identifies what the product is using artificial intelligence learning data based on the barcode of the product scanned by the scanning unit, the image of the product, and the weight of the product measured by the weight sensor. The system may include a product classification unit that includes a sorter, a second transport unit positioned to contact a second point where the transport of goods by the first transport unit ends, and which moves left and right so that the goods are classified into a first section or a second section based on the identification result of the goods, and operates the second transport unit to classify the goods, a calculation unit that calculates a total amount by summing up a first price obtained by summing up the prices of the goods classified into the first section and a second price obtained by summing up the prices of the goods classified into the second section and confirmed by the administrator, a display unit that provides the user with the total amount calculated by the calculation unit and a list of goods, and a control unit that controls the operation of the first transport unit and the product classification unit based on the recognition result of the goods by the first product recognition unit and the product identification result of the processor.

[0010] The scanning unit may include a barcode scanner that recognizes the barcode of the product and an image scanner that scans an image of the product to acquire image information.

[0011] If a barcode is recognized, the processor may identify the product as a scannable product corresponding to the identification information contained in the barcode. If the barcode is not recognized, the processor may obtain the product name and string from the image information, use artificial intelligence learning data to identify the product as a scannable product based on the image information, product name, and string, compare the weight of the product measured using the weight sensor with the weight information contained in the product information corresponding to the scannable product, and if the comparison verifies that the product is a scannable product, transmit a first signal to the control unit indicating that the product has been successfully identified. If the product is not identified as a scannable product, or if the comparison verifies that the product is not a scannable product, the processor may transmit a second signal to the control unit indicating that the product has not been successfully identified.

[0012] The control unit may, upon receiving the first signal from the processor, control the product classification unit to move toward the first section so that the product can be classified into the first section, and upon receiving the second signal from the processor, control the product classification unit to move toward the second section so that the product can be classified into the second section.

[0013] The first transport unit includes a third transport unit that transports the product from the first point to a third point where scanning is initiated by the scan unit, and a fourth transport unit that is positioned to contact the third transport unit at the third point and transports the product from the third point to the second point. The first transport unit further includes a second product recognition unit provided at the third point that recognizes that the product has arrived at the third point. The control unit may control the operation of the third transport unit and the fourth transport unit when the first product recognition unit recognizes that a product has been placed, to stop the operation of the third transport unit when the second product recognition unit recognizes that the product has arrived at the third point, and to operate the third transport unit so that any product located at the third point is transported to the fourth transport unit if there are no products that have not been identified by the processor.

[0014] Furthermore, a method for settling payments for goods in an unmanned store according to one embodiment of the present invention may include the steps of: receiving user information from a user terminal; recognizing goods placed in a first transport unit by a first product recognition unit; scanning the goods being transported by the first transport unit by a scanning unit if the goods are recognized; identifying the goods by a processor based on the scanning result of the goods; classifying the goods by a product classification unit so that the goods are classified into a first section or a second section based on the identification result; calculating a total amount by summing the prices of the classified goods by a calculation unit; and providing the total amount to the user terminal.

[0015] The step of scanning the product includes, if the product's barcode is recognized, scanning the barcode to obtain information about the scanned product corresponding to the barcode; if the product's barcode is not recognized, scanning an image of the entire product to obtain image information; if the product's barcode is not recognized or image information cannot be obtained, designating the product as an unverified product; if the product's barcode is not recognized after the step of scanning the product, obtaining the product's name from the image information; and using artificial intelligence training data, obtaining information about the scanned product corresponding to the product for which image information has been obtained, based on the image information and the product name. The artificial intelligence training data may include data that has been learned about the size, shape, product name, and weight of products sold in an unmanned store.

[0016] The steps include, after the step of recognizing the product placed in the first transport unit, measuring the weight of the product using a weight sensor, and classifying the product may include, comparing the weight information of the scanned product included in the information of the scanned product with the measured weight of the product; classifying the product into the first section to be sent to the user if the comparison verifies that the product is the scanned product, classifying the product into the second section to be sent to the administrator if the comparison verifies that it is a different product or the product is an unverified product; and transmitting the number of products classified into the second section, device information, and user information to the administrator terminal.

[0017] The step of calculating the total amount may include the steps of: recognizing that the user has purchased all of the products classified in the first section or the second section; calculating a third price by adding up the first price, which is the sum of the prices of the products classified in the first section, and the second price, which is the sum of the prices of the products classified in the second section; and providing the total amount, which may include the steps of: generating a product list that includes all of the classified products; and providing the product list and the third price to the user via the user terminal and display unit.

[0018] The step of receiving user information includes a step of receiving member information of the user generated using the user information, and after the step of providing the total amount, if the user has completed payment for the product, the step of accumulating purchase points corresponding to the third price in the member points included in the member information includes a step of accumulating purchase points by awarding additional purchase points at a preset first ratio according to the ratio of the number of products whose barcodes were recognized by the scanning unit to the number of products purchased by the user, and the step of providing the total amount may provide the user terminal with a fourth price to which a preset second ratio discount rate corresponding to the section in which the member points are included in the third price has been applied. [Effects of the Invention]

[0019] According to the present invention, a method for settling payments for goods in an unmanned store can be provided.

[0020] Furthermore, according to the present invention, the recognition rate of products can be improved using artificial intelligence training data, enabling quick and accurate payment for products.

[0021] Furthermore, according to the present invention, the accuracy of product classification can be improved by using a product classification unit that includes a conveyor belt. [Brief explanation of the drawing]

[0022] [Figure 1]It is a diagram showing the external appearance of a product settlement device for an unmanned store according to an embodiment of the present invention. [Figure 2] It is a diagram showing the external appearance of a product settlement device for an unmanned store according to an embodiment of the present invention. [Figure 3] It is a block diagram showing the configuration of a product settlement device for an unmanned store according to an embodiment of the present invention. [Figure 4] It is a block diagram showing the configuration of a scanning unit of a product settlement device for an unmanned store according to an embodiment of the present invention. [Figure 5] It is a block diagram showing the main body for the settlement of products in an unmanned store according to an embodiment of the present invention. [Figure 6] It is an operation flowchart showing a product settlement method for an unmanned store according to an embodiment of the present invention. [Figure 7] It is an operation flowchart showing a product settlement method for an unmanned store according to an embodiment of the present invention. [Figure 8] It is an operation flowchart showing a product settlement method for an unmanned store according to an embodiment of the present invention. [Figure 9] It is an operation flowchart showing a product settlement method for an unmanned store according to an embodiment of the present invention. [Figure 10] It is an operation flowchart showing a product settlement method for an unmanned store according to an embodiment of the present invention.

Mode for Carrying Out the Invention

[0023] Hereinafter, the present invention will be described in detail based on the accompanying drawings. Here, detailed descriptions of well-known functions and components that may obscure the gist of the present invention due to repeated explanations are omitted. Embodiments of the present invention are provided to more fully explain the present invention to those with average knowledge in the industry. Therefore, the shapes and sizes of the components in the figures may be exaggerated for clearer explanation.

[0024] Throughout this specification, when a part of a component is described as "including," this does not exclude other components, unless otherwise specified, but rather means that other components may be included.

[0025] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0026] Figures 1 and 2 show the external dimensions of a product payment device for an unmanned store according to one embodiment of the present invention.

[0027] Referring to Figures 1 and 2, the product checkout device 1 for an unmanned store according to one embodiment of the present invention may include a product transport device 11, a product scanning device 12, a checkout result display device 13, a product placement table 14, a QR code recognition unit 15, a product classification device 21, a plurality of image scanners 22, and a dispensing slot 23 for normally checked products and a dispensing slot 24 for abnormally checked products.

[0028] The product transport device 11 may include a conveyor belt that transports products for settlement.

[0029] The product scanning device 12 may include multiple image scanners 22 for scanning products transported by the product transport device 11. Here, the multiple image scanners 22 are positioned separately above and below the conveyor belt included in the product transport device 11, allowing for image scanning of products from various angles. Once the image scanning is complete and the product is accurately recognized, it can be dispensed into the successfully settled product dispensing port 23.

[0030] Furthermore, the product classification device 21 may include a product classification conveyor belt 211. After product scanning is completed using the product scanning device 12, the products can be transported to the product classification device 21. If the products are accurately recognized, the product classification device 21 moves to the side of the normally settled product dispensing port 23, and the product classification conveyor belt 211 operates to dispense the products to the normally settled product dispensing port 23. Conversely, if the products are not accurately recognized, the product classification device 21 moves to the side of the abnormally settled product dispensing port 24, and the product classification conveyor belt 211 operates to dispense the products to the abnormally settled product dispensing port 24. Products dispensed to the abnormally settled product dispensing port 24 can be included in the settlement results after being verified by the administrator.

[0031] The product scanning device 12 can gradually improve the accuracy of its image scanning through deep learning. As the number of image scans of a product increases, the accuracy of the image scanning improves.

[0032] The settlement result display device 13 may include a list of all products and can separately display products dispensed to the normally settled product dispensing slot 23 and products dispensed to the abnormally settled product dispensing slot 24.

[0033] Figure 3 is a block diagram showing the configuration of a product payment device for an unmanned store according to one embodiment of the present invention.

[0034] Referring to Figure 3, the product display device for an unmanned store according to one embodiment of the present invention may include a first transport unit 310, a first product recognition unit 320, a scanning unit 330, a control unit 340, a weight sensor 350, a processor 360, a product classification unit 370, a calculation unit 380, and a display unit 390.

[0035] The first transport unit can transport goods in order to scan the items that a user intends to purchase.

[0036] The first product recognition unit is provided at a first point where the transport of the product by the first transport unit begins, and is capable of recognizing that a product has been placed in the first transport unit.

[0037] A weight sensor is installed on one side of the lower part of the first conveying unit and can measure the weight of the product.

[0038] The scanning unit is positioned above the first transport unit at a predetermined distance, and is capable of scanning the barcodes and images of products transported by the first transport unit.

[0039] The processor can identify what a product is based on the barcode of the product scanned by the scanning unit and the weight of the product measured by the image and weight sensors, using artificial intelligence training data.

[0040] The product classification unit includes a second transport unit positioned to contact a second point where the transport of products by the first transport unit ends. Based on the product identification result, the unit moves left and right so that the products are classified into the first or second section, and operates the second transport unit to classify the products.

[0041] The calculation unit can calculate the total amount by summing up the first price, which is the sum of the prices of items classified into the first section, and the second price, which is the sum of the prices of items classified into the second section and confirmed by the administrator.

[0042] The display unit can provide the user with the total amount calculated by the calculation unit and a list of products.

[0043] The control unit can control the operation of the first transport unit and the product classification unit based on the product recognition result by the first product recognition unit and the product identification result by the processor.

[0044] Here, the first transport unit does not operate if the first product recognition unit does not recognize that a product has been placed, operates to transport the product if it recognizes that a product has been placed, and stops operating if the first product recognition unit does not recognize that another product has been placed after it has recognized that a product has been placed and a predetermined time has elapsed.

[0045] Figure 4 is a block diagram showing the configuration of the scanning unit of a product payment device for an unmanned store according to one embodiment of the present invention.

[0046] Referring to Figure 4, the scanning unit of the product payment device for an unmanned store according to one embodiment of the present invention may include a barcode scanner 331 and an image scanner 332.

[0047] The barcode scanner can recognize the barcode of the product.

[0048] The aforementioned image scanner can scan an image of the product and acquire image information.

[0049] If a barcode is recognized, the processor identifies the product as a scannable product corresponding to the identification information contained in the barcode. If the barcode is not recognized, the processor can obtain the product name and string from the image information and use artificial intelligence training data to identify the product as a scannable product based on the image information, product name, and string.

[0050] Furthermore, the weight of the product measured using the weight sensor is compared with the weight information contained in the product information corresponding to the scanned product. If the comparison verifies that the product is the scanned product, a first signal indicating that the product has been successfully identified is transmitted to the control unit. If the product is not identified as the scanned product, or if the comparison verifies that the product is not the scanned product, a second signal indicating that the product has not been successfully identified is transmitted to the control unit.

[0051] In this case, when the control unit receives the first signal from the processor, it can control the product classification unit to move toward the first section so that the product can be classified into the first section, and when the control unit receives the second signal from the processor, it can control the product classification unit to move toward the second section so that the product can be classified into the second section.

[0052] According to one embodiment, the first transport unit may include a third transport unit that transports the product from the first point to a third point where scanning is initiated by the scanning unit, and a fourth transport unit that is positioned in contact with the third transport unit at the third point and transports the product from the third point to the second point. That is, the conveyor belts of the third transport unit and the fourth transport unit may be positioned in contact with each other at the third point, or the fourth transport unit may be positioned lower than the third transport unit, so that the product can be transported continuously by the third transport unit and the fourth transport unit.

[0053] The product payment device in the unmanned store may further include a second product recognition unit installed at the third location, which recognizes that the product has arrived at the third location.

[0054] In this case, the control unit can control the operation of the third and fourth transport units when the first product recognition unit recognizes that a product has been placed, control the operation of the third transport unit when the second product recognition unit recognizes that a product has arrived at the third location, and control the operation of the third transport unit when there are no products that have not been identified by the processor to transport the product located at the third location to the fourth transport unit.

[0055] Through this process, the scanning unit and processor perform scanning and identification of each product individually, thereby improving the accuracy of product classification.

[0056] In an optional embodiment, the product checkout device of an unmanned store may include a third product recognition unit located at a fourth point, which is the point where the product enters the first section, and which recognizes the product that has been classified by the product classification unit to be sent to the first section.

[0057] Specifically, the third product recognition unit can recognize products that have been classified by the product classification unit and are then classified into the first section, and can count the number of products that have moved to the first section.

[0058] At this time, the product payment device of the unmanned store compares the number of times the processor has sent a first signal to send to the first section with the number of products counted by the third product recognition unit. If the number of products differs from the other, the device can create a list of products classified to be sent to the first section and send the list to the administrator terminal.

[0059] Here, the administrator can use the administrator terminal to check the list and confirm whether or not the products included in the list have been incorrectly classified.

[0060] Through this process, if an item that has been verified as a scanned item is incorrectly classified into a second section, the problem can be resolved by going through the aforementioned verification procedure.

[0061] Figure 5 is a block diagram showing the entities responsible for payment processing in an unmanned store according to one embodiment of the present invention.

[0062] Referring to Figure 5, the entity for settling payments for goods in an unmanned store according to one embodiment of the present invention includes an unmanned store payment device 1, a user terminal 510, and an administrator terminal 520.

[0063] The product payment device 1 in an unmanned store may mean a device that receives user information from a user terminal 510, recognizes that the product scanned by the scanning unit is purchased by the user using the user terminal, and calculates the total amount.

[0064] The product payment device 1 in the unmanned store may also be a device that provides the calculated total amount to the user terminal 510.

[0065] The product checkout device 1 in the unmanned store may also be a device that transmits information about unverified products among the scanned products to the administrator terminal 520.

[0066] The user terminal 510 may also be a device that provides user information to the product payment device 1 of the unmanned store.

[0067] The user terminal 510 may also be a device that receives the total amount from the product payment device 1 of the unmanned store.

[0068] The administrator terminal 520 may be a device that receives information about unverified items among the items scanned from the product checkout device 1 of the unmanned store.

[0069] The unmanned store's product payment device 1 and user terminal 510, as well as the unmanned store's product payment device 1 and administrator terminal 520, may each be connected to one another via a communication network.

[0070] A communication network refers to a connection path for sending and receiving data between the various entities described above. For example, a communication network encompasses wired networks such as Local Area Networks (LANs), Wide Area Networks (WANs), Metropolitan Area Networks (MANs), and Integrated Service Digital Networks (ISDN), as well as wireless networks such as Wireless LAN, Code Division Multiple Access (CDMA), Bluetooth®, and satellite communications. However, the scope of communication networks applicable to this invention is not limited to these.

[0071] Figure 6 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0072] Referring to Figure 6, the product payment method for an unmanned store according to one embodiment of the present invention can first receive user information from a user terminal (S610).

[0073] Next, the first product recognition unit can recognize the product placed in the first transport unit (S620).

[0074] Next, if the product is recognized, the scanning unit can scan the product being transported by the first transport unit (S630).

[0075] In this case, if the barcode of the product is recognized, the barcode can be scanned to obtain information about the scanned product corresponding to the barcode. If the barcode of the product is not recognized, an image of the entire product can be scanned to obtain image information.

[0076] Furthermore, if the product's barcode is not recognized, or if the product's image information cannot be obtained, the product may be designated as an unverified product.

[0077] Next, based on the scan results of the product, the processor can identify the product (S640).

[0078] Next, based on the identification result obtained from the identification, the product classification unit can classify the product so that it is classified into the first section or the second section (S650).

[0079] Next, the calculation unit can sum up the prices of the classified products to calculate the total amount (S660).

[0080] Next, the total amount can be provided to the user terminal (S670).

[0081] According to one embodiment, after the step of recognizing the product placed in the first transport unit, the weight of the product can be measured using a weight sensor.

[0082] Figure 7 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0083] Referring to Figure 7, in the product payment method for an unmanned store according to one embodiment of the present invention, if the barcode of the product is not recognized after the step of scanning the product, the product name of the product can be obtained from the image information (S710).

[0084] Next, using artificial intelligence training data, information on scanned products corresponding to the product from which image information was acquired can be obtained based on the image information and the product name (S720).

[0085] Here, the artificial intelligence training data may include data learned about the size, shape, name, and weight of products sold in an unmanned store.

[0086] Figure 8 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0087] Referring to Figure 8, the product payment method for an unmanned store according to one embodiment of the present invention first allows for a comparison between the weight information of the scanned product included in the information of the scanned product and the measured weight of the product (S810).

[0088] Next, if the comparison verifies that the product is the scanned product, the product can be classified into the first section to be sent to the user; if the comparison verifies that the product is a different product or the product is an unverified product, the product can be classified into the second section to be sent to the administrator (S820).

[0089] Next, the number of items classified into the second section, along with the device information and the user information, can be transmitted to the administrator terminal (S830).

[0090] At this point, step S660 recognizes that the user has purchased all of the goods classified in the first section or the second section, and can calculate a third price by adding up the first price, which is the sum of the prices of the goods classified in the first section, and the second price, which is the sum of the prices of the goods classified in the second section.

[0091] Figure 9 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0092] Referring to Figure 9, the product payment method for an unmanned store according to one embodiment of the present invention can first generate a product list that includes all of the classified products (S910).

[0093] Next, the user terminal and display unit can provide the user with the product list and the third price (S920).

[0094] Figure 10 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0095] Referring to Figure 10, the product payment method for an unmanned store according to one embodiment of the present invention can receive the user's membership information, which is generated using the user's information, in step S610.

[0096] Then, after the step of providing the total amount, if the user completes payment for the product, purchase points corresponding to the third price can be accumulated in the member points included in the member information (S1010).

[0097] In this case, step S1010 may award additional purchase points at a predetermined first ratio according to the ratio of the number of items whose barcodes are recognized by the scanning unit to the total number of items purchased by the user.

[0098] Furthermore, in step S670, a fourth price can be provided to the user terminal to which a pre-set second discount rate corresponding to the section in which the member points are included in the third price has been applied.

[0099] In an optional embodiment, when generating a product list, a first product list for products classified in a first section and a second product list for products classified in a second section can be generated, and the generated first and second product lists can be provided to the user terminal.

[0100] Specifically, the product checkout system in an unmanned store can first generate a first product list for products classified into a first section.

[0101] At this time, a pre-set first or second marker can be displayed next to each product name included in the first product list.

[0102] Here, the first indicator could mean that the barcode was scanned using a barcode scanner to obtain information about the scanned product, and that it was verified to match the obtained information about the scanned product.

[0103] Furthermore, the second indicator could mean that image information of the product was acquired using an image scanner, information about the scanned product was acquired based on that image information, and it was verified that the acquired information about the scanned product matched the actual product.

[0104] Next, once the products classified into the second section have been verified by the administrator, the unmanned store's product checkout device can generate a second product list for the products classified into the second section.

[0105] At this time, a pre-set third marker can be displayed next to each product name included in the second product list.

[0106] Here, the third indicator could mean that the product is either an unverified product or a product that has been verified and confirmed by the administrator to be a different product from the one described in the scanned product information.

[0107] In step S920, the user terminal and the display unit can provide the user with a first product list and a second product list.

[0108] In this case, the first product list and the second product list may include the price of each product in the list.

[0109] Through this system, users can verify that their barcodes have been scanned by the barcode scanner. Furthermore, as the proportion of scanned barcodes increases, more membership points are accumulated, and as membership points increase, the discount rate increases. This encourages users to place items in the conveyor belt in a way that allows for proper barcode scanning. As a result, as more items have been scanned, fewer items need to be sorted into a second section and rescanned, thus shortening the time required for checkout.

[0110] The specific executions described herein are merely embodiments, and none of them limit the scope of the invention. For the sake of brevity, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of said systems are omitted. Furthermore, linear connections or connecting members between components shown in the drawings are illustrative examples of functional and / or physical or circuit connections, and in actual devices, they may be substituted or represented as a variety of further functional, physical, or circuit connections. Also, unless specifically mentioned as "essential" or "important," components are not necessarily required for the application of the invention.

[0111] Therefore, the concept of the present invention should not be limited to the embodiments described above, and all scopes that are equivalent to or modify the appended claims, as well as the claims themselves, fall within the scope of the concept of the present invention. [Industrial applicability]

[0112] According to the unmanned store payment method and apparatus of the present invention, the product recognition rate can be increased using artificial intelligence learning data, enabling quick and accurate payment of goods, and the accuracy of product classification can be increased using a product classification unit including a conveyor belt, thus having industrial applicability.

Claims

1. A first transport unit transports the product in order to scan the product that the user intends to purchase, A first product recognition unit is provided at a first point where the transport of goods by the first transport unit begins, and recognizes that a product has been placed in the first transport unit. A weight sensor is provided on one side of the lower part of the first transport unit to measure the weight of the product, A scanning unit is provided at a distance above the first transport unit corresponding to a predetermined distance, and scans the barcode and image of the product being transported by the first transport unit. A processor that identifies what the product is based on the barcode of the product scanned by the scanning unit, the image, and the weight of the product measured by the weight sensor, using artificial intelligence learning data. A product classification unit includes a second transport unit positioned to contact a second point where the transport of goods by the first transport unit ends, and which moves left and right so that the goods are classified into a first section or a second section based on the identification result of the goods, and operates the second transport unit to classify the goods, A calculation unit calculates a total amount by summing up the first price, which is the sum of the prices of the products classified in the first section, and the second price, which is the sum of the prices of the products classified in the second section and confirmed by the administrator. A display unit that provides the user with the total amount and product list calculated by the calculation unit, A control unit controls the operation of the first transport unit and the product classification unit based on the product recognition result by the first product recognition unit and the product identification result by the processor, This includes a checkout system for unmanned stores.

2. The scanning unit is A barcode scanner that recognizes the barcode of the aforementioned product, An image scanner that scans an image of the aforementioned product to acquire image information, A product payment device for an unmanned store according to claim 1, including the above.

3. The aforementioned processor, If the barcode is recognized, the product is identified as a scannable product corresponding to the identification information contained in the barcode. If the barcode is not recognized, the product name and text are obtained from the image information, and the product is identified as a scanned product based on the image information, product name, and text using artificial intelligence training data. The weight of the product measured using the weight sensor is compared with the weight information contained in the product information corresponding to the scanned product. If the comparison verifies that the product is the scanned product, a first signal indicating that the product has been successfully identified is transmitted to the control unit. If the aforementioned product is not identified as the scanned product, or if the comparison results in verification that the product is not the scanned product, the unmanned store product payment device according to claim 2 transmits a second signal to the control unit indicating that the product has not been properly identified.

4. The control unit, When the first signal is received from the processor, the product classification unit is controlled to move toward the first section so that the product can be classified into the first section. The product checkout device for an unmanned store according to claim 3, wherein when the product sorting unit receives the second signal from the processor, it is controlled to move toward the second section so that the product can be sorted into the second section.

5. The first transport unit is, A third transport unit transports the product from the first point to a third point where scanning is initiated by the scanning unit, A fourth conveying unit is positioned at the third point so as to be in contact with the third conveying unit, and conveys the goods from the third point to the second point. Includes, The system further includes a second product recognition unit provided at the third location, which recognizes that the product has arrived at the third location. The control unit, When the first product recognition unit recognizes that a product has been placed, the third transport unit and the fourth transport unit are controlled to operate. When the second product recognition unit recognizes that the product has arrived at the third location, it controls the operation of the third transport unit to stop. If there are no products that have not been identified by the processor, the third transport unit is controlled to operate so that the products located at the third location are transported to the fourth transport unit, as described in claim 4.

6. The steps include receiving user information from the user terminal, A step in which the first product recognition unit recognizes the product placed in the first transport unit, If the aforementioned product is recognized, the scanning unit scans the product being transported by the first transport unit, The steps include: identifying the product using a processor based on the scan results of the product; A step of classifying the product by a product classification unit so that the product is classified into a first section or a second section based on the identification result based on the above identification, The calculation unit calculates the total amount by summing up the prices of the classified products, The steps include providing the total amount to the user terminal, This includes payment methods for goods in unmanned stores.

7. The step of scanning the aforementioned product is: If the barcode of the product is recognized, the barcode is scanned to obtain information about the scanned product corresponding to the barcode; if the barcode of the product is not recognized, the entire image of the product is scanned to obtain image information. If the product's barcode is not recognized, or if the product's image information cannot be obtained, the product will be designated as an unverified product. After the step of scanning the aforementioned product, If the barcode of the aforementioned product is not recognized, the step of obtaining the product name of the aforementioned product from the image information, Using artificial intelligence training data, a step of obtaining information on scanned products corresponding to the product from which image information was acquired, based on the image information and the product name, Includes, The aforementioned artificial intelligence training data is A method for settling payments for goods in an unmanned store according to claim 6, comprising data learned of the size, shape, product name, and weight of goods sold in the unmanned store.

8. After the step of recognizing the product placed in the first transport unit, The step includes measuring the weight of the product using a weight sensor, The step of classifying the aforementioned products is: The steps include comparing the weight information of the scanned product included in the information of the scanned product with the measured weight of the product, If the comparison verifies that the product is the scanned product, classify the product into the first section so that it is sent to the user; if the comparison verifies that the product is a different product or the product is an unverified product, classify the product into the second section so that it is sent to the administrator. The steps include transmitting the number of items classified into the second section, the device information, and the user information to the administrator terminal, A method for settling payments for goods in an unmanned store according to claim 7, including the method described in claim 7.

9. The step of calculating the total amount is: The system recognizes that the user has purchased all of the products classified in the first section or the second section, and calculates a third price by adding together the first price, which is the sum of the prices of the products classified in the first section, and the second price, which is the sum of the prices of the products classified in the second section. The step of providing the total amount is, The steps include generating a product list that includes all of the aforementioned classified products, The steps include providing the user with the product list and the third price via the user terminal and display unit, A method for settling payments for goods in an unmanned store according to claim 8, including the method described in claim 8.

10. The step of receiving the user information is: The step includes receiving member information of the user generated using the user's information, After the step of providing the total amount, When the user completes payment for the product, the process includes accumulating purchase points corresponding to the third price in the member points included in the member information. The step of accumulating the aforementioned purchase points is: In accordance with the ratio of the number of items whose barcodes were recognized by the scanning unit to the total number of items purchased by the user, additional purchase points are awarded at a predetermined first ratio. The step of providing the total amount is, A method for paying for goods at an unmanned store according to claim 9, wherein a fourth price is provided to the user terminal to which a predetermined second discount rate corresponding to the section in which the member points are included in the third price has been applied.

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