Payment method and device for unmanned stores

Abstract

A method and apparatus for product payment in an unmanned store are disclosed. A product payment apparatus for an unmanned store according to one embodiment of the present invention may include: a transport unit for transporting goods, partitions for dividing sections at predetermined intervals; a first product recognition unit for recognizing that goods have been placed in the transport unit; a weight sensor for measuring the weight of the goods; a scanning unit for scanning the barcode and image of the goods; a processor for identifying what the goods are using artificial intelligence learning data; a second product recognition unit for recognizing that the goods have arrived at the second location; a product classification unit provided at the second location for classifying the goods based on the product identification result; a calculation unit for calculating the total amount for the goods; a display unit for providing the user with the total amount and a list of goods; and a control unit for controlling the operation of the transport unit and the product classification unit, as well as the first product recognition result from the first product recognition unit.

Description

Technical Field

[0001] The present invention relates to a method and apparatus for settling accounts for products in a无人 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 automate the entire process of logistics, including product production, shipping, transportation, unloading, packing, storage, and settlement (calculation, accounting), in order to achieve labor savings and improved accuracy. The automation of logistics has the effects of 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] In particular, when a customer attempts to settle the payment for products in a store, the store clerk uses a barcode scanning device to scan each product's barcode to settle the payment for the products. As a result, the time required for settling the payment for the products is prolonged, the customer's wasted waiting time 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 the accounts for products that customers attempt to settle without human intervention.

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无人 store.

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

[0008] It should be noted that the term "无人" in the original text seems to be a specific term in the context of the Japanese language related to this invention, and there may not be an exact equivalent in English. Here, I have used "无人" directly for the purpose of translation while maintaining the integrity of the original text. If there is a more appropriate English expression for this concept in the relevant field, it can be adjusted accordingly.Furthermore, the present invention aims to guide the user to place products in a transport section equipped with partitions at regular intervals. [Means for solving the problem]

[0009] To achieve the above objective, an unmanned store product payment device according to one embodiment of the present invention includes partitions for dividing sections at predetermined intervals, a transport unit for transporting products to be scanned by a user, a first product recognition unit provided at a first point where the transport unit starts transporting products and recognizes that a product has been placed on the transport unit, a weight sensor provided on one side of the lower part of the transport unit for measuring the weight of the product, a scanning unit provided at a distance corresponding to a predetermined distance from the transport unit for scanning the barcode and image of the product transported by the transport unit, and the barcode and image of the product scanned by the scanning unit and the weight measured by the weight sensor. The system may include: a processor that identifies what the product is based on the weight of the product using artificial intelligence learning data; a second product recognition unit provided at a second location where the scanning unit completes scanning of the product and recognizes that the product has arrived at the second location; a product classification unit provided at the second location and classifies the product based on the product identification result; a calculation unit that calculates the total amount for the product; a display unit that provides the user with the total amount and a list of products; and a control unit that controls the operation of the transport unit and the product classification unit based on the first product recognition result by the first product recognition unit, the second product recognition result by the second product recognition unit and the product identification result by 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] When the control unit receives the first signal from the processor, it may control the transport unit to transport the product to the first section and prevent the product classification unit from operating. When the control unit receives the second signal from the processor, it may control the transport unit to stop after the second product recognition unit recognizes that the product has arrived at the second location, and control the operation of the product classification unit so that the product pushes the product away from the transport unit and the product is classified into the second section.

[0013] The aforementioned preset interval is smaller than or equal to the scan range for scanning the barcode and image of the product by the scanning unit, and the scanning unit may scan each product in sections separated by the partitions provided in the transport unit.

[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 on a transport unit by a first goods recognition unit; measuring the weight of the goods using a weight sensor; scanning the goods being transported by the transport unit by a scanning unit if the goods are recognized; identifying the goods using a processor based on the scanning result of the goods and the weight of the goods; classifying the goods so that they are classified into a first section or a second section based on the identification result; calculating a first price by adding up the prices of the goods using a calculation unit; and providing the first price to the user terminal.

[0015] The step of scanning the product includes scanning the product in each section of the transport unit, which is divided into sections by partitions at predetermined intervals, if the barcode of the product is recognized, scanning the barcode to obtain information of the scanned product corresponding to the barcode; if the barcode of the product is not recognized, scanning an image of the entire product to obtain image information; if the barcode of the product is not recognized or image information of the product cannot be obtained, designating the product as an unverified product; if the barcode of the product is not recognized after the step of scanning the product, obtaining the product name from the image information; and using artificial intelligence learning data to obtain information of 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 learning data may include data that has been learned of the size, shape, product name and weight of products sold in an unmanned store.

[0016] The step of classifying the product may include the steps of comparing the weight information of the scanned product included in the information of the scanned product with the measured weight of the product, and, if the comparison verifies that the product is the scanned product, transporting the product by the transport unit and classifying it into the first section.

[0017] The step of 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; if, as a result of the comparison, it is verified that the product is a different product or the product is an unconfirmed product, the second product recognition unit recognizes whether the product has arrived at a second location where the second product recognition unit is provided; if the second product recognition unit recognizes that the product has arrived at the second location, it controls the operation of the transport unit to stop; the product classification unit controls the operation of the product classification unit so that it pushes the product away from the transport unit and the product is classified into a second section; and providing the user terminal with a notification indicating that the product has been classified into a second section.

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

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

[0020] In addition, according to the present invention, the recognition rate of products can be increased by using artificial intelligence learning data, and the settlement of accounts for products can be performed quickly and accurately.

[0021] Furthermore, according to the present invention, a carrier provided with partitions at regular intervals can guide the position where a user places products.

Brief Description of the Drawings

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

Modes for Carrying Out the Invention

[0023] The present invention will now be described in detail based on the attached drawings. Hereinafter, detailed descriptions of known functions and components that would be redundant, or that would be likely to obscure the essence of the invention, will be omitted. Embodiments of the present invention are provided to provide a more complete explanation of the invention to a person of average knowledge in the art. Therefore, the shapes and sizes of components in the drawings may be exaggerated for the sake of clarity.

[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 payment 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 payment result display device 13, a product placement table 14, a QR code recognition unit 15, a product classification device (not shown), and a dispensing slot 16 for normally paid products and a dispensing slot 17 for abnormally paid products.

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

[0029] Here, the product conveying device 11 may be provided with partitions 21 to divide the area into sections at predetermined intervals. Users can place products between the partitions 21.

[0030] The product scanning device 12 may include multiple image scanners to scan products being transported by the product transport device 11. Here, the multiple image scanners 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 16.

[0031] A product sorting device (not shown) can operate to dispense scanned products to either a normally settled product dispensing slot 16 or an abnormally settled product dispensing slot 17. If a product is correctly recognized, the product sorting device does not operate, and the product can be dispensed to the normally settled product dispensing slot 16 via the product transport device 11. Conversely, if a product is not correctly recognized, the product sorting device can operate to push the product out so that it is dispensed to the abnormally settled product dispensing slot 17. Products dispensed to the abnormally settled product dispensing slot can be checked by the user and then put back into the product settlement device of the unmanned store.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] Referring to Figure 3, the product device for an unmanned store according to one embodiment of the present invention may include a transport unit 310, a first product recognition unit 320, a scanning unit 330, a second product recognition unit 340, a control unit 350, a weight sensor 360, a processor 370, a product classification unit 380, a calculation unit 390, and a display unit 400.

[0036] The transport unit is equipped with partitions to divide the area at predetermined intervals, and can transport the products that a user intends to purchase in order to scan them.

[0037] The first product recognition unit is provided at a first point where the transport unit starts transporting the product, and is capable of recognizing that a product has been placed on the transport unit.

[0038] The weight sensor is installed on one side of the lower part of the conveying unit and can measure the weight of the product.

[0039] The scanning unit is positioned at a distance corresponding to a predetermined distance from the transport unit and can scan the barcodes and images of products being transported by the transport unit.

[0040] 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.

[0041] The second product recognition unit is located at a third point where the scanning unit completes scanning of the product, and can recognize that the product has arrived at the third point.

[0042] The product classification unit is located at the third location and can classify products based on the product identification results.

[0043] The calculation unit can calculate the total price for the products.

[0044] The display unit can provide the user with the calculated total amount and a list of products.

[0045] The control unit can control the operation of the transport unit based on the first product recognition result from the first product recognition unit, the second product recognition result from the second product recognition unit, and the product identification result from the processor.

[0046] Here, the 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 does recognize 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 the product classification is complete and a predetermined time has elapsed.

[0047] 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.

[0048] 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.

[0049] The barcode scanner can recognize the barcode of the product.

[0050] The aforementioned image scanner can scan an image of the product and acquire image information.

[0051] 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.

[0052] 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.

[0053] At this time, when the control unit receives the first signal from the processor, it controls the transport unit to transport the product to the first section and prevents the product classification unit from operating. When the control unit receives the second signal from the processor, it controls the transport unit to stop after the second product recognition unit recognizes that the product has arrived at the second location, and controls the operation of the product classification unit so that the product pushes the product away from the transport unit and the product is classified into the second section.

[0054] According to one embodiment, the preset interval may be smaller than or equal to the scan range for scanning the barcode and image of the product by the scanning unit.

[0055] In this case, the scanning unit can scan each product in sections separated by the partitions provided in the transport unit.

[0056] The user places one item in a section separated by partitions, and the scanning unit can scan a single item by scanning sections at pre-set intervals.

[0057] This has the effect of preventing products from entering the scanning area in an unaligned state, thereby improving the accuracy of product scanning.

[0058] In an optional embodiment, the product checkout device of an unmanned store may include a third product recognition unit located at a third point where products enter a first section, and which recognizes products that have been classified to be sent to the first section.

[0059] Specifically, the third product recognition unit can recognize products that are moving to the first section and count the number of products that have moved to the first section.

[0060] At this time, the product checkout 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 these numbers are different, the device can create a list of products classified to be sent to the first section and send the list to the administrator terminal.

[0061] 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.

[0062] 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.

[0063] 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.

[0064] 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 and a user terminal 510.

[0065] 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.

[0066] 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.

[0067] The user terminal 510 may also be a device that provides user information to the product payment device 1 of the unmanned store.

[0068] The user terminal 510 may also be a device that receives the total amount from the product payment device 1 of the unmanned store.

[0069] The unmanned store's product payment device 1 and user terminal 510 may be connected to each other 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 transport unit (S620).

[0074] Next, if the product is recognized, the weight of the product can be measured using a weight sensor (S630).

[0075] Next, the scanning unit can scan the product being transported by the transport unit (S640).

[0076] At this time, the products placed in the transport section, which is divided into sections by partitions provided at predetermined intervals, can be scanned for each section.

[0077] Furthermore, 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.

[0078] Furthermore, if the product's barcode is not recognized, or if the product's image information cannot be obtained, the product can be designated as an unverified product.

[0079] Next, the processor can identify the product based on the scan result and the weight of the product (S650).

[0080] Next, based on the identification result based on the above identification, the goods can be classified so that they are classified into the first section or the second section (S660).

[0081] Next, the calculation unit can calculate the first price by adding up the prices of the aforementioned products (S670).

[0082] Next, the first price can be provided to the user terminal (S680).

[0083] Figure 7 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0084] 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).

[0085] 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).

[0086] Here, the artificial intelligence training data may include data learned about the size, shape, name, and weight of products sold in an unmanned store.

[0087] Figure 8 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0088] Referring to Figure 8, the method for settling payments for goods in an unmanned store according to one embodiment of the present invention first allows for a comparison between the weight information of the scanned goods included in the information of the scanned goods and the measured weight of the goods (S810).

[0089] Next, if the comparison verifies that the product is the scanned product, the transport unit can transport the product and classify it into the first compartment (S820).

[0090] Figure 9 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0091] Referring to Figure 9, the product payment method for an unmanned store according to one embodiment of the present invention can first compare the weight information of the scanned product included in the information of the scanned product with the measured weight of the product.

[0092] Next, if the comparison verifies that the product is a different product, or if the product is an unconfirmed product, the second product recognition unit can recognize whether or not the product has arrived at the second location where the second product recognition unit is provided (S920).

[0093] Next, if the second product recognition unit recognizes that the product has arrived at the second location, it can be controlled to stop the operation of the transport unit (S930).

[0094] Next, the operation of the product classification unit can be controlled so that the product pushes out the product away from the transport unit and the product is classified into a second compartment (S940).

[0095] Next, the user terminal can be provided with a notification indicating that the product has been classified into the second section (S950).

[0096] Figure 10 is an operation flowchart showing the product payment method for an unmanned store according to one embodiment of the present invention.

[0097] 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.

[0098] Then, after the step of providing the first price, if the user completes payment for the product, purchase points corresponding to the first price can be accumulated in the member points included in the member information (S1010).

[0099] In this case, step S1010 may award additional purchase points based on a preset 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.

[0100] Furthermore, in step S680, a second 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 first price has been applied.

[0101] In an optional embodiment, before step S680, a first product list for products classified collectively into the first section and a second product list for products classified into the second section at least once can be created, and the created first product list and second product list can be provided to the user terminal.

[0102] Specifically, the product checkout system in an unmanned store can first generate a first product list for products that have been categorized into a first section.

[0103] At this time, a pre-set first or second marker can be displayed next to each product name included in the first product list.

[0104] Here, the pre-set first marker may indicate that the barcode was scanned by a barcode scanner to obtain information about the scanned product, and that it was verified to match the information obtained about the scanned product.

[0105] Furthermore, the pre-set second marker may indicate that the image scanner has acquired image information of the product, obtained information about the scanned product based on the image information, and verified that it matches the acquired information about the scanned product.

[0106] Next, the unmanned store's product checkout system can generate a second product list for products that have been classified into the second section at least once.

[0107] At this time, a pre-set third marker can be displayed next to each product name included in the second product list.

[0108] Here, the pre-set third marker may indicate that the product is either an unverified product or a product that has been verified to be a different product from the scanned product information and classified into the second section at least once.

[0109] In an optional embodiment, in step S680, when providing the total amount to the user terminal, the first product list and the second product list may also be provided to the user terminal.

[0110] In this case, the first product list and the second product list may include the price of each product in the list.

[0111] Through this system, users can verify that their barcodes have been scanned by the barcode scanner. Furthermore, as the proportion of scanned barcode items 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.

[0112] 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.

[0113] 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]

[0114] According to the unmanned store payment method and apparatus of the present invention, the recognition rate of products can be improved using artificial intelligence learning data, enabling quick and accurate payment of products. Furthermore, a transport unit with partitions at regular intervals can guide the user to the correct position for placing products, thus offering potential for industrial applications.

Claims

1. Partitions are provided to divide the area at predetermined intervals, and a transport unit is provided to transport the product for scanning the product that the user intends to purchase. A first product recognition unit is provided at the first point where the transport unit starts transporting the product, and recognizes that the product has been placed in the transport unit. A weight sensor is provided on one side of the lower part of the transport section to measure the weight of the product, A scanning unit is provided at a distance corresponding to a predetermined distance from the transport unit, and scans the barcode and image of the product being transported by the 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 second product recognition unit is provided at a second point where the scanning unit completes scanning of the product, and recognizes that the product has arrived at the second point. A product classification unit is provided at the second location and classifies the products based on the product identification result, A calculation unit that calculates the total amount for the aforementioned products, A display unit that provides the user with the total amount and a list of products, A product payment device for an unmanned store, including a control unit that controls the operation of the transport unit and the product classification unit based on the first product recognition result from the first product recognition unit, the second product recognition result from the second product recognition unit, and the product identification result from the processor.

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 scannable 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, a second signal indicating that the product has not been properly identified is transmitted to the control unit, as described in claim 2.

4. The control unit, When the first signal is received from the processor, the product is transported to the first section by the transport unit, and the product classification unit is controlled not to operate. The product payment device for an unmanned store according to claim 3, wherein when the second signal is received from the processor, the second product recognition unit recognizes that the product has arrived at the second location, the transport unit is controlled to stop, and the operation of the product classification unit is controlled so that the product pushes the product away from the transport unit and the product is classified into the second section.

5. The aforementioned pre-set interval is The scanning range for scanning the barcode and image of the product by the scanning unit is smaller than or equal to the scanning range, The scanning unit is The product payment device for an unmanned store according to claim 4, wherein the device scans products in each section separated by the partition provided in the transport unit.

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

7. The step of scanning the aforementioned product is: The process includes the step of scanning the products placed in the transport section, which is divided into sections by partitions provided at predetermined intervals, for each section. 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, A step of using artificial intelligence training data to obtain information on scanned products corresponding to products for which image information was obtained 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. 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, the transport unit transports the product and classifies it into the first compartment. 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 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, as a result of the comparison, it is verified that the product is a different product or the product is an unconfirmed product, the second product recognition unit recognizes whether or not the product has arrived at the second location where the second product recognition unit is provided. When the second product recognition unit recognizes that the product has arrived at the second location, the unit controls the operation of the transport unit to stop. The steps include controlling the operation of the product classification unit so that the product classification unit pushes the product away from the transport unit and the product is classified into a second section, The steps include providing the user terminal with a notification indicating that the product has been classified into the second section, A method for settling payments for goods in an unmanned store according to claim 7, including the method described in claim 7.

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 first price, When the user completes payment for the product, the process includes accumulating purchase points corresponding to the first price in the member points included in the member information. The step of accumulating the aforementioned purchase points is: Based on 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 based on a pre-set first ratio. The first step of providing the price is: A method for settling payments for goods in an unmanned store according to claim 8, wherein a second price is 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 first price is applied.

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