WO2023090544A1 - Procédé permettant de fournir un service de fabrication de produit en utilisant une intelligence artificielle et appareil l'utilisant - Google Patents

Procédé permettant de fournir un service de fabrication de produit en utilisant une intelligence artificielle et appareil l'utilisant Download PDF

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WO2023090544A1
WO2023090544A1 PCT/KR2022/004568 KR2022004568W WO2023090544A1 WO 2023090544 A1 WO2023090544 A1 WO 2023090544A1 KR 2022004568 W KR2022004568 W KR 2022004568W WO 2023090544 A1 WO2023090544 A1 WO 2023090544A1
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Prior art keywords
product
user
details
user terminal
information
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PCT/KR2022/004568
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English (en)
Korean (ko)
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한채윤
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주식회사 아서앤그레이스
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Publication of WO2023090544A1 publication Critical patent/WO2023090544A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing

Definitions

  • the present invention relates to a method for providing a product manufacturing service using artificial intelligence and a device using the same, and specifically, based on user information and purchase history of a plurality of users previously stored in a providing device, user information of a specific user is compared and specified
  • the present invention relates to a method of providing a product manufacturing service capable of providing a manufacturing service of a customized product for each user using artificial intelligence by providing a recommendation of details of a customized product to a user, and a device using the same.
  • Korean Patent Publication No. 10-2014-0087088 provides a service for printing an image provided by a buyer on a bag in order to meet the needs of the buyer
  • Korean Patent Publication No. 10-2004-0069471 provides a service for the buyer to design a bag
  • Color, pocket design, accessories and logos are provided with a manufacturing service as selected by allowing users to select among various embodiments step by step.
  • the customized production service as described above has disadvantages in that the process is cumbersome, the price is expensive, and it is difficult to provide an effective user-customized product provision service. Accordingly, there is an increasing need to utilize pre-stored user information using artificial intelligence and to determine product details according to the needs of a specific user using user information of a specific user.
  • the problem to be solved by the present invention is to determine the details of a customized product only for a specific user based on the user information of the specific user, and to accumulate and determine the details of a customized product for other users using feedback on the corresponding product.
  • a product manufacturing service providing method using artificial intelligence includes the steps of (a) receiving first user information from a first user terminal among a plurality of user terminals, ( b) Details of the first product based on comparison data of the plurality of user information of each of the plurality of user terminals and the first user information of the first user terminal, and information on the plurality of purchased products of each of the plurality of user terminals.
  • Generating a recommendation of details (c) transmitting the recommendation of details to the first user terminal, and receiving a selection of details from the first user terminal, (d) based on the selection of details Determining a first product, (e) receiving a manufacturing approval signal for the first product from the first user terminal, and (f) receiving and storing feedback data for the first product from the first user terminal. steps may be included. Accordingly, the plurality of user information and the first user information may be compared, and based on the information on the plurality of purchased products, details of a customized product for the first user may be effectively selected and provided to the first user terminal.
  • the present invention can use artificial intelligence to determine the details of a custom product for a specific user.
  • FIG. 1 is a block diagram showing a schematic configuration of a product manufacturing service providing system using artificial intelligence according to an embodiment of the present invention.
  • FIG. 2 is a flowchart illustrating a method of providing a product manufacturing service using artificial intelligence according to an embodiment of the present invention.
  • first, second, etc. are used to describe various components, these components are not limited by these terms. These terms are only used to distinguish one component from another. Therefore, the first component mentioned below may also be the second component within the technical spirit of the present invention.
  • FIG. 1 is a block diagram showing a schematic configuration of a product manufacturing service providing system 1000 using artificial intelligence according to an embodiment of the present invention.
  • a product manufacturing service providing system using artificial intelligence determines details of a customized product for a user using artificial intelligence, receives feedback from the user on the manufactured product, and provides information for other users. It is a system that can provide product manufacturing services by using it to determine the details of customized products.
  • the product manufacturing service providing system 1000 includes a product manufacturing service providing device 200 and a plurality of user terminals 100 .
  • the product production service providing device 200 uses a plurality of user information of each of the plurality of user terminals 100 and information about a plurality of purchased products previously purchased by the plurality of user terminals 100 for a specific user. As a device for determining details of a customized product, a product for a specific user determined by the product manufacturing service providing device 200 may be produced by the product manufacturing service providing device 200 or a separate manufacturer and delivered to the user. .
  • the product manufacturing service providing apparatus 200 may receive feedback about a product provided to a specific user from a specific user, and may store both the received feedback and the user obtained from the specific user in a storage unit. Accordingly, the product manufacturing service providing apparatus 200 may generate big data including both user information for each of a plurality of users and information on purchased products.
  • the product production service providing device 200 may effectively determine details of a customized product for another user who has newly requested production using generated big data using artificial intelligence.
  • the product production service providing device 200 may be implemented as a server corresponding to a computer or program that provides a service to the user terminal 100 through a network.
  • a network may be implemented with a variety of communication technologies. That is, WIFI, WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), HSPA (High Speed Packet Access), Mobile WiMAX, WiBro , LTE (Long Term Evolution), Bluetooth, infrared data association (IrDA), NFC (Near Field Communication), Zigbee, wireless LAN technology, and the like may be applied.
  • TCP/IP which is a standard protocol for information transmission on the Internet, may be followed or GPS (Global Positioning System) technology may be used.
  • the plurality of user terminals 100 may be digital devices that include functions for users using the product production service providing device 200 to transmit/receive information and perform communication with the product production service providing device 200 .
  • the plurality of user terminals 100 may receive user information of each of the plurality of users from each of the plurality of user terminals 100 and transmit the user information to the product production service providing apparatus 200 .
  • the user information may be information about the user that can be used to determine details of a customized product for the user, for example, the user information includes the user's height, body type, gender, preferred size of the product, preferred product It may include at least one of additional information about details such as color, preferred product material, preferred product design, and size of other products used with the product.
  • the products for which the product manufacturing service providing device 200 can determine details may be of various types.
  • the product may be a bag, but is not limited thereto, and the product may include at least one of furniture, clothes, shoes, perfume, cosmetics, hats, precious metals, accessories, and tableware.
  • the plurality of user terminals 100 may be implemented in various forms such as smartphones, laptops, tablets, or desktops, and the user terminals 100 may be connected to the product manufacturing service providing device 200 through a network.
  • FIG. 2 is a flowchart illustrating a method of providing a product manufacturing service using artificial intelligence according to an embodiment of the present invention.
  • first user information is received from a first user terminal 110 among a plurality of user terminals 100 (S110).
  • the product manufacturing service providing apparatus 200 may receive first user information, which is information about the first user, from the first user terminal 110 used by a first user who is a specific user among a plurality of users.
  • the first user information includes information about the category of the product the first user wants to manufacture, the height, body type, gender of the first user, the preferred size, color, material, design, and desired product of the product he/she wants to manufacture. It may include at least one of the details, such as the size of other products used.
  • the product manufacturing service providing device 200 may receive information indicating that a product the first user wants to manufacture is a bag (possibly other products than a bag) from the first user terminal 110, and may perform manufacturing. You may receive more details about the desired product, the bag's size, color, material, design, and other items to be stored in the bag. In addition, the product manufacturing service providing device 200 may further receive information about the height, body shape, gender, and the like of the first user from the first user terminal 110 .
  • the comparison data of the plurality of user information of each of the plurality of user terminals 100 and the first user information of the first user terminal 110 and the information on the plurality of purchased products of each of the plurality of user terminals 100 Based on this, a detailed recommendation for the first product is generated (S120).
  • the product manufacturing service providing apparatus 200 transfers data from a plurality of user terminals 100 of other users other than the first user terminal 110 together with the first user information received from the first user terminal 110 .
  • a detailed recommendation of the first product may be generated by using the plurality of user information received in the terminal 100 and information about the plurality of purchase products previously purchased by the plurality of users of the plurality of user terminals 100 .
  • the product manufacturing service providing apparatus 200 may compare first user information received from the first user terminal 110 with a plurality of user information received from the plurality of user terminals 100 .
  • the first user information is information about a first product that the first user wants to manufacture, for example, that the product category is a bag category, bag size, color, material design, height, body shape, and gender of the first user. may include at least one of them.
  • the product manufacturing service providing device 200 may generate comparison data by comparing the first user information with a plurality of user information of each of the plurality of user terminals 100, and using the comparison data to compare the first user information and the plurality of user information. A predetermined number of other users having user information having a high similarity may be searched in the order of high similarity.
  • the product production service providing apparatus 200 selects other users having a high degree of similarity with the first user information by using information on products previously purchased by a plurality of users, that is, a plurality of purchased products, in order of high similarity. You can search as many as a preset number.
  • a predetermined number of other users having height, body shape, and gender similar to the first user's height, body shape, and gender may be searched.
  • other users who have purchased other products having a high similarity to the products previously purchased by the first user may be searched for in a preset number.
  • other users who have purchased other products having a high similarity to information on the first product that the first user wants to manufacture may be searched for in a preset number.
  • the product manufacturing service providing apparatus 200 may generate a recommendation for details of the first product by using the searched information on a predetermined number of other user terminals 100 .
  • the product production service providing apparatus 200 compares the first user information with the plurality of user information of each of the plurality of user terminals 100 using the first user information received from the first user terminal 110 to obtain a high degree of similarity.
  • a user terminal 100 capable of selecting user terminals 100 and purchasing a purchased product having a high similarity to a plurality of purchased products of each of a plurality of user terminals 100 by using information about a first product among first user information. ) can be selected.
  • the product manufacturing service providing device 200 may recommend details of the first product based on information about purchased products of other selected user terminals 100 .
  • the details of the first product may include at least one of design, size, color, material, pattern, and various additional design options of the first product.
  • the details of the first product may further include additional information about an external storage box, an internal partition, a zipper, a thickness and size of a handle, a material of a metal decoration, engraving or embroidery, and the like.
  • the product manufacturing service providing device 200 may transmit the generated recommendation of the details of the first product to the first user terminal 110 .
  • the first user terminal 110 may select some of the recommended details of the first product, and the product production service providing device 200 may receive information on the selected details from the first user terminal 110 . there is.
  • the first user terminal 110 may not select other parts of the detailed recommendations, and in this case, the product production service providing device 200 generates other recommendations for the unselected details using artificial intelligence. and can be provided to the first user terminal 110 .
  • the product manufacturing service providing apparatus 200 may generate another recommendation for details not selected based on the first user information received from the first user terminal 110 .
  • the product manufacturing service providing device 200 may receive selection of some of the other recommendations for details and rejection of the other parts from the first user terminal 110, and reflect such selection and rejection to provide the first product. details can be determined.
  • the product manufacturing service providing apparatus 200 recommends details of a first product provided to the first user terminal 110, selects details received from the first user terminal 110, and rejects details received from the first user terminal 110. It is possible to store both selection and rejection of other recommendations of details provided to the first user terminal 110 again and other recommendations of details received from the first user terminal 110, and can be stored later. 110 or other user terminals 100 can be used when generating and providing detailed product recommendations.
  • a first product is determined based on the selection of details (S140).
  • the product manufacturing service providing device 200 may determine details of the first product in step S130 and determine the first product based on the determined details.
  • the determined first product is based on the selected details, and the selected details may include the shape, size, pattern, and the like of the first product.
  • a production approval signal for the first product is received from the first user terminal 110 and printing is performed on the first product (S150).
  • the product manufacturing service providing apparatus 200 Based on the manufacturing approval signal received from the first user terminal 110, the product manufacturing service providing apparatus 200 prints the design (leather surface) of the first product determined by the product manufacturing service providing apparatus 200 itself, and then prints this.
  • the manufacturer using the manufacturer terminal may manufacture the first product by manufacturing or transferring the determined details of the first product and a printing result (eg, leather surface) of the design of the first product to another manufacturer terminal.
  • the manufactured first product may be delivered to the first user using the first user terminal 110 .
  • the design part can be printed for manufacturing the first product, and it is transmitted to the manufacturer using the manufacturer terminal to manufacture the first product. 1 product can be manufactured.
  • the first user terminal 110 may receive feedback on the first product from a first user who has been provided with the manufactured first product, and the first user terminal 110 transmits feedback data on the first product to product manufacturing. It can be delivered to the service providing device 200.
  • the product production service providing device 200 may store feedback data about the first product as first user information of the first user terminal 110 .
  • a product production service providing method recommends details of a first product using artificial intelligence based on first user information received from a first user terminal 110 may be generated and provided to the first user terminal 110 .
  • the product production service providing device 200 may generate comparison data by comparing the first user information with user information of each of a plurality of other users, and may generate comparison data based on information about a first product included in the first user information, and have a similarity.
  • a plurality of purchased products of each of a plurality of user terminals 100 having a high value may be determined.
  • the product manufacturing service providing apparatus 200 may generate a recommendation for each detail constituting the first product based on the comparison data and information on a plurality of purchased products, and provide the recommendation to the first user terminal 110 . That is, the product production service providing apparatus 200 may generate big data by storing a plurality of user information received from each of the plurality of user terminals 100 and a plurality of purchased products, and artificial intelligence may be generated using the big data. Intelligence may be used to generate a recommendation of details of the first product.
  • a first user using the first user terminal 110 communicates with the product manufacturing service providing device 200 and can effectively select details of a product desired to be manufactured and receive a customized first product.
  • the product manufacturing service providing apparatus 200 provides information about a plurality of user information of each of the plurality of user terminals 100 and a plurality of purchased products of each of the plurality of user terminals 100. Using the information and the feedback data on the first product, a recommendation of details about the second product for the second user terminal may be generated.
  • the second user terminal may be a specific other user terminal 100 different from the first user terminal 110 among the plurality of user terminals 100 .
  • a second user using the second user terminal may want to manufacture a customized second product only for the second user.
  • the second user terminal may transmit second user information to the product manufacturing service providing device 200 .
  • the product manufacturing service providing apparatus 200 may generate a recommendation of details of the second product for the second user terminal, similarly to the step S120 performed for the first user terminal 110 .
  • the product production service providing apparatus 200 may generate comparison data by comparing a plurality of user information of the peach user terminal 100 including all of the first user terminal 110 with the second user information. Based on the comparison data and information on a plurality of purchased products (in this case, the plurality of purchased products may include the first product) of each of the plurality of user terminals 100 including all of the first user terminals 110 A recommendation of details for the second product may be generated.
  • the device for providing product production service 200 may broadly expand big data by adding first user information of the first user terminal 110 and information on details of the first product to existing big data, It is possible to more effectively generate a recommendation of details of a second product for a new user, for example, a second user, by using artificial intelligence.
  • the details may include the shape, size, pattern, etc. of each product.
  • the recommended pattern may be determined based on a plurality of user information, a pattern of a product purchased by each of the plurality of users, and the like.
  • a product manufacturing service providing method according to another embodiment of the present invention, a device and a system using the same, are compared with the product manufacturing service providing method of FIGS. Except for further inclusion, the bar is substantially the same, and redundant description is omitted. For convenience of explanation, it will be described with reference to FIGS. 1 and 2 .
  • the product manufacturing service providing device receives first image data from a first user terminal, and the product manufacturing service is provided.
  • the method may further include, by the device, generating a recommendation of details of the first product in consideration of a similarity between the details included in the first image data and the details of the first product.
  • the first user of the first user terminal may not know the exact name of a desired material or color for a product to be manufactured.
  • the first user may directly photograph a product similar to a product desired by the first user or obtain an image of a product similar to a product desired by the first user, and transmit the corresponding image to the product manufacturing service providing device.
  • the first user may transmit an image of another product similar to a product desired by the first user, ie, first image data, to the product manufacturing service providing device.
  • the product manufacturing service providing device includes first image data received from the first user terminal, product image data stored in a storage unit of the product manufacturing service providing device, and image data of a plurality of purchased products of a plurality of user terminals. can be compared
  • the product manufacturing service providing device may recognize at least one of material, color, and shape of a product included in the first image data, and based on at least one of the recognized material, color, and shape, a similarity to the first image data is the highest.
  • a high product may be selected, and the selected product's details may be used to generate a recommendation of the first product's details.
  • the first user may transmit information about a selection area for a portion of the first image data to the product manufacturing service providing device together with the first image data.
  • the product manufacturing service providing device may recognize at least one of material, color, and shape recognized from a selection area for a portion of the first image data, not the entire product, and image data of the product stored in the storage unit. and image data having the highest similarity to the selected area among image data of a plurality of purchased products of a plurality of user terminals.
  • the first user can select only a desired part, and the design (surface) of the product including the corresponding part can be printed to manufacture various products that suit the user's taste.
  • the product manufacturing service providing device may display the basic shape of the product included in the first image data as a 2D or 3D image on a display unit such as the display of the first user terminal.
  • the first user may set a desired part by dragging at least one or more partial areas of the product displayed on the display unit of the first user terminal with a mouse, etc.
  • a product included in the first image data may be a watch, and the first user may select one watch strap among both watch straps of the watch displayed on the display unit of the first user terminal.
  • the first user may transmit a signal requesting the device to change the color of one watchband to a color different from the existing color to the product manufacturing service providing device.
  • the first user may request to change the color of that part by selecting (eg, dragging) only one watch strap.
  • the product manufacturing service providing apparatus may automatically generate a color code by recognizing a color of a product from the first image data.
  • the color code any one of commonly used color codes among RGB, CMYK, PMS, HEX, HSL, and HSV may be used.
  • colors are indicated by arbitrarily designated names, so even similar names have very different colors, and even if you refer to detailed photos of products, they are often different from actual colors. Therefore, the product manufacturing service providing device may extract the color code as a color code using the color of the product included in the first image data received from the first user terminal, and make the color of the details of the first product match the color code. You can generate recommendations of details.
  • the product production service providing device may provide the generated color code to the first user terminal and may receive a color code correction signal from the first user terminal.
  • the first user terminal may display the provided color code on the display unit, and the first user may correct the color code.
  • the display unit of the first user terminal may display colors that change according to color code correction on the display unit in real time.
  • a recommended correction code for each color code may be provided to the first user.
  • the product production service providing apparatus may extract a color code of a purchased product of a user terminal having a high degree of similarity based on a similarity between the first user information received from the first user terminal and a plurality of user terminals of each of the plurality of user terminals, , Based on the extracted color code, a recommended correction code may be provided to the first user.
  • the apparatus for providing a product production service may recommend a first product having a color that matches the taste of the first user by recommending a color code to the first user using the color of a product purchased by another user having similar user information.
  • the product manufacturing service providing apparatus may recognize a material from the first image data and provide a material similar to the recognized material to the first user terminal as a recommendation of details of the first product.
  • the product manufacturing service providing device may provide additional option selection for the material provided as a recommendation of details of the first product. That is, when a crocodile skin pattern is recognized in the first image data, it is possible to select whether to make the crocodile skin or to process the crocodile skin pattern on other leathers. Through this, the first user can request a first product having a material similar to the material provided as the first image data according to the user's taste and budget.
  • a product manufacturing service providing method according to another embodiment of the present invention, a device and a system using the same, are compared with the product manufacturing service providing method of FIGS. Except for further including the bar, redundant description is omitted. For convenience of explanation, it will be described with reference to FIGS. 1 and 2 .
  • a product manufacturing service providing method includes steps (S130) of FIGS. 1 and 2 in which a product manufacturing service providing device receives second image data from a first user terminal, and a product manufacturing service providing device.
  • the method may further include calculating a volume of an article included in the second image data, and generating a detailed recommendation of the first product such that the volume of the first product is greater than the volume of the article.
  • the product manufacturing service providing device may receive second image data from the first user and calculate the volume of the product included in the second image data.
  • the second image data may include one or more items.
  • the product manufacturing service providing device may calculate the volume of each of one or more items included in the second image data. Measuring the volume of one or more items from the second image data may be performed by photographing and providing a standardized reference material such as a coin, banknote, credit card, or A4 paper along with the desired item to measure the volume of the desired item.
  • a standardized reference material such as a coin, banknote, credit card, or A4 paper
  • the first product may correspond to a bag category, and the first user may photograph one or more items (ex lotion, lipstick, book, etc.) to be stored in the first product through a camera of the first user terminal.
  • One or more items photographed by the camera of the first user terminal may include, for example, a mouse pad and information about the type and number of golf clubs to be put in a golf bag. That is, the first user terminal may photograph a mouse pad, which may mean that an item to be stored is a mouse pad, and the first user terminal may photograph a golf club to be placed in a golf bag, and the item to be stored may be photographed. As a golf club corresponding to the type of golf club, it may correspond to the number of golf clubs photographed.
  • Each of the one or more photographed items to be stored may be converted into one second image data by the first user terminal and transmitted to the product manufacturing service providing device.
  • the product manufacturing service providing device may calculate the volume of each of one or more items through the second image data.
  • the product manufacturing service providing device may calculate a recommended volume of the first product using the volume of each of one or more products, and provide the recommended volume to the first user terminal as a detailed recommendation.
  • the recommended volume of the first product may be determined by Equation 1 below.
  • S is the recommended volume of the first product
  • A is the sum of volumes of one or more items
  • N is the total number of one or more items
  • B may be a spare volume per item.
  • the first user terminal may transmit images of one or more items to be housed in the first product as first image data to the product manufacturing service providing device, and the product manufacturing service providing device may use the first image data to transmit images of one or more items, respectively.
  • the volume of can be calculated.
  • a in Equation 1 may be the sum of the volumes of each of one or more articles, and B in Equation 1 may be the total number of one or more articles.
  • B in Equation 1 may be the spare volume of one article, which means that when one or more articles are stored inside the first product, a margin of space exists between the articles and a margin exists between the article and the inner surface of the first product. It may be a preset value calculated in consideration of possible Accordingly, N*B in Equation 1 may be a spare volume for all items considering the total number of one or more items.
  • the recommended volume of the first product may be determined by Equation 2 below.
  • S is the recommended volume of the first product
  • A is the sum of the volumes of one or more articles
  • N is the total number of one or more articles
  • B is the extra volume per article
  • C is the first weight to the Nth weight. It may be a value multiplied by
  • S, A, N, and B in Equation 2 may be the same as S, A, N, and B in Equation 1, respectively, and duplicate descriptions are omitted.
  • C in Equation 2 is a value obtained by multiplying the first weight to the Nth weight, and the weight is the value of the spare volume based on the first user information of the first user, the information on the first product, and the information on one or more items, respectively.
  • the weight may include a plurality of weights, that is, a first weight to an Nth weight, and N may be a natural number equal to or greater than 1.
  • the first weight may be a key weight.
  • the key weight may be a weight considering the height of the first user among the first user information.
  • the product production service providing apparatus may store information on the height of each of a plurality of users as a plurality of user information, and may assign a key weight of 1 to an average height, which is an average value of the keys of each of the plurality of users. That is, when the height of the first user is equal to the average height, the first weight may be 1.
  • the product manufacturing service providing device may preset a lower limit value and an upper limit value of the first weight.
  • the lower limit value of the first weight may be preset to eg 0.5
  • the upper limit value of the first weight may be preset to eg 1.5.
  • the key weight For the maximum key, which is the maximum value among the keys of each of the plurality of users, the key weight may be 1.5, which is the upper limit value, and for the minimum key, which is the minimum value, among the keys of each of the plurality of users, the key weight may be the lower limit value, 0.5.
  • the upper and lower limit values of the key weight are not limited to 1.5 and 0.5, respectively, and may be changed as needed.
  • the device for providing product manufacturing services may calculate the degree of proximity of the height of the first user to the maximum or minimum key based on the average height, and the degree of proximity to the maximum or minimum key.
  • the key weight can be determined to be adjacent to 1, the upper limit value, 1.5, or the lower limit value, 0.5, using That is, when the degree to which the height of the first user is smaller than the average height increases, the degree of adjacent key weights from 1 to 0.5 may increase. In addition, when the degree of the first user's height greater than the average height increases, the degree of adjacent key weights from 1 to 1.5 may increase.
  • the second weight may be a body shape weight.
  • the body shape weight may be a weight value considering the body shape of the first user among the first user information.
  • the product manufacturing service providing apparatus may store information on the body shape of each of a plurality of users as a plurality of user information, and may assign a body shape weight of 1 to the average body shape, which is an average value of the body shapes of each of the plurality of users. That is, when the body shape of the first user is the same as the average body shape, the second weight may be 1.
  • the body shape may correspond to a ratio value of the horizontal size of the body to the height.
  • the device for providing product production service may preset a lower limit value and an upper limit value of the second weight.
  • the lower limit value of the second weight may be preset to eg 0.5
  • the upper limit value of the second weight may be preset to eg 1.5
  • the body type weight may be 1.5, which is the upper limit, for the maximum body type, which is the maximum value among the body types of each of the plurality of users
  • the body type weight, which is the lower limit value may be 0.5, for the minimum body type, which is the minimum value, among the body types of each of the plurality of users.
  • the upper and lower limit values of the body shape weight are not limited to 1.5 and 0.5, respectively, and may be changed as needed.
  • the apparatus for providing product manufacturing service may calculate the degree of proximity of the body shape of the first user to the maximum or minimum body shape based on the average body shape, and the degree of proximity to the maximum or minimum body shape. It is possible to determine the body shape weight from 1 to be adjacent to the upper limit value of 1.5 or the lower limit value of 0.5. That is, when the degree to which the body shape of the first user is smaller than the average body shape increases, the degree of adjacent body shape weights from 1 to 0.5 may increase. Further, when the degree to which the body type of the first user is greater than the average body type increases, the degree of adjacent body shape weights from 1 to 1.5 may increase.
  • the third weight may be a material weight.
  • the material weight may be a weight considering the material of the first product among the first user information.
  • the device for providing product manufacturing service may generate a recommendation of a material of the first product as a recommendation of details of the first product, and may calculate a material weight based on a degree of flexibility of the material of the first product.
  • the product manufacturing service providing device may store information on various materials that can be produced as products, and may also store information on flexible information of each of the various materials. A plurality of materials may be listed based on the degree of flexibility, and a material weight of 1 may be assigned to the average material value, which is an average value of the degree of flexibility.
  • the third weight may be 1.
  • the product production service providing device may set a lower limit value and an upper limit value of the third weight in advance.
  • a lower limit value of the third weight may be preset to eg 0.5
  • an upper limit value of the third weight may be preset to eg 1.5.
  • the third weight corresponding to the most flexible material among the plurality of materials may be 0.5
  • the third weight corresponding to the material having the lowest degree of flexibility among the plurality of materials may be 1.5. That is, as the degree of flexibility of the material increases, the third weight may decrease.
  • the third weight may increase in the degree of adjacency from 1 to 0.5. And, when the degree of flexibility of the material of the first product is less than the average material value, the third weight may increase the degree of adjacency from 1 to 1.5. Accordingly, in the case of the first product made of a more flexible material, the extra volume may be reduced by the third weight.
  • the fourth weight may be an article weight.
  • the article weight may be a weight considering the degree of flexibility of one or more articles.
  • the product manufacturing service providing device may recognize each of one or more items by using the second image data, and may calculate a degree of flexibility of each of one or more items.
  • the product manufacturing service providing device may calculate an article weight based on the degree of flexibility of each of one or more articles.
  • the product manufacturing service providing device may store information on the materials of various items that can be accommodated in the product, and may also store information on flexible information on each of the various materials. Materials of a plurality of articles may be listed based on the degree of flexibility, and an article weight of 1 may be assigned to an average product material value, which is an average value of the degree of flexibility.
  • the fourth weight when the degree of softness of the material of the article is equal to the average article material value, the fourth weight may be 1.
  • the product manufacturing service providing device may preset a lower limit value and an upper limit value of the fourth weight.
  • a lower limit value of the fourth weight may be preset to eg 0.5
  • an upper limit value of the fourth weight may be preset to eg 1.5.
  • the fourth weight corresponding to the most flexible material among the materials of the plurality of articles may be 0.5
  • the fourth weight corresponding to the material having the lowest degree of flexibility among the materials of the plurality of articles may be 1.5. That is, as the degree of flexibility of the material of the article increases, the fourth weight may decrease.
  • the fourth weight value When the degree of flexibility of the material of the article is greater than the average article material value, the fourth weight value may increase from 1 to 0.5. And, when the degree of flexibility of the material of the article is less than the average article material value, the fourth weight value may increase the degree of adjacency from 1 to 1.5. Accordingly, when an article made of a more flexible material is accommodated in the first product, the extra volume may be reduced by the fourth weight.
  • One or more of the various embodiments of the present invention may be combined to form a new embodiment.
  • the above-described embodiment in which the product manufacturing service providing apparatus receives first image data and performs various steps is combined with an embodiment in which the product manufacturing service providing apparatus receives second image data and performs various steps New embodiments can be constructed.
  • a method for providing a product manufacturing service using artificial intelligence includes (a) receiving first user information from a first user terminal among a plurality of user terminals, (b) a plurality of user terminals, respectively. Generating a detailed recommendation for a first product based on comparison data of user information of and first user information of a first user terminal, and information on a plurality of purchased products of each of a plurality of user terminals, ( c) sending a recommendation of the details to the first user terminal and receiving a selection of the details from the first user terminal; (d) determining a first product based on the selection of the details; ( e) receiving a manufacturing approval signal for the first product from the first user terminal, and (f) receiving and storing feedback data for the first product from the first user terminal.
  • each of the first user information and the plurality of user information includes at least one of the user's height, body shape, gender, preferred product size, preferred product color, and preferred product material. can do.
  • a plurality of user terminals by using a plurality of user information of each of a plurality of user terminals, information on a plurality of purchased products of each of a plurality of user terminals, and feedback data on the first product, a plurality of user terminals
  • the method may further include generating a recommendation of details of the second product for the second user terminal.
  • step (c) the step of receiving the first image data from the first user terminal, and considering the similarity between the details included in the first image data and the details of the first product
  • the method may further include generating a recommendation of details of the first product.
  • step (c) includes receiving information on a selection area for a portion of the first image data from a first user terminal, and the selection area for a portion of the first image data
  • the method may further include generating a recommendation of details of the first product in consideration of a similarity between the included details and the details of the first product.
  • step (c) includes recognizing the color of the first image data to generate a color code, providing the color code to the first user terminal, and the color code from the first user terminal.
  • the method may further include receiving a correction signal of the color code, and step (d) may further include determining a color of the first product based on the color code correction signal.
  • step (c) includes receiving second image data from a first user terminal, calculating a volume of an article included in the second image data, and a volume of the first product.
  • the method may further include generating a recommendation of details for the first product such that a is greater than a volume of the article.
  • An apparatus for providing a product production service using artificial intelligence receives first user information from a first user terminal among a plurality of user terminals, and the plurality of user information of each of the plurality of user terminals and the first user Based on the comparison data of the first user information of the terminal and the information on the plurality of purchased products of each of the plurality of user terminals, a detailed recommendation of the first product is generated, and the detailed recommendation is made to the first user terminal.

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Abstract

Un mode de réalisation de la présente invention peut comprendre les étapes consistant : (a) à recevoir des premières informations d'utilisateur en provenance d'un premier terminal d'utilisateur parmi une pluralité de terminaux d'utilisateur ; (b) à générer une recommandation pour des détails d'un premier produit sur la base de données de comparaison entre des éléments respectifs d'informations d'utilisateur concernant la pluralité de terminaux d'utilisateur et les premières informations d'utilisateur concernant le premier terminal d'utilisateur, et des informations concernant une pluralité de produits achetés de chaque terminal d'utilisateur de la pluralité de terminaux d'utilisateur ; (c) à transmettre la recommandation pour des détails au premier terminal d'utilisateur et à recevoir une sélection pour les détails en provenance du premier terminal d'utilisateur ; (d) à décider du premier produit sur la base de la sélection pour les détails ; (e) à recevoir un signal d'approbation de fabrication pour le premier produit en provenance du premier terminal d'utilisateur ; et (f) à recevoir des données de rétroaction sur le premier produit en provenance du premier terminal d'utilisateur et à les stocker.
PCT/KR2022/004568 2021-11-18 2022-03-31 Procédé permettant de fournir un service de fabrication de produit en utilisant une intelligence artificielle et appareil l'utilisant WO2023090544A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170242277A1 (en) * 2014-08-20 2017-08-24 David Kind, Inc. System and method of providing custom-fitted and styled eyewear based on user-provided images and preferences
KR20200062770A (ko) * 2018-11-27 2020-06-04 전자부품연구원 비접촉식 물건속성 인식장치 및 방법
KR20210017516A (ko) * 2019-08-08 2021-02-17 주식회사 와셀로 가구 맞춤 제작 서비스 시스템
KR102251304B1 (ko) * 2020-08-31 2021-05-12 주식회사 아서앤그레이스 가죽 제품의 맞춤 제작 서비스를 위한 시스템 및 방법
KR20210093196A (ko) * 2020-02-12 2021-07-27 김민주 사용자 단말기를 이용한 맞춤형 쥬얼리 제작 및 판매 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170242277A1 (en) * 2014-08-20 2017-08-24 David Kind, Inc. System and method of providing custom-fitted and styled eyewear based on user-provided images and preferences
KR20200062770A (ko) * 2018-11-27 2020-06-04 전자부품연구원 비접촉식 물건속성 인식장치 및 방법
KR20210017516A (ko) * 2019-08-08 2021-02-17 주식회사 와셀로 가구 맞춤 제작 서비스 시스템
KR20210093196A (ko) * 2020-02-12 2021-07-27 김민주 사용자 단말기를 이용한 맞춤형 쥬얼리 제작 및 판매 시스템
KR102251304B1 (ko) * 2020-08-31 2021-05-12 주식회사 아서앤그레이스 가죽 제품의 맞춤 제작 서비스를 위한 시스템 및 방법

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