System

Abstract

An object of the system according to the embodiment is to digitize and design a picture of a child and to exhibit the picture on an online platform.SOLUTION: A system includes a digitalization part, a designing part, and an exhibition part. The digitizing section captures a picture of a child as digital data. The designing unit designs the digital data captured by the digitizing unit. The exhibiting part exhibits the data designed by the designing part on an online platform.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, the process of digitizing children's drawings, turning them into designs, and exhibiting them on online platforms was time-consuming and not easily carried out.

[0005] The system according to the embodiment aims to digitize children's drawings, turn them into designs, and exhibit them on an online platform. [Means for solving the problem]

[0006] The system according to the embodiment includes a digitizing unit, a designing unit, and an exhibiting unit. The digitizing unit captures children's drawings as digital data. The designing unit creates designs from the digital data captured by the digitizing unit. The exhibiting unit exhibits the data designed by the designing unit on an online platform. [Effects of the Invention]

[0007] The system according to the embodiment allows children's drawings to be digitized, turned into designs, and exhibited on an online platform. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A system according to an embodiment of the present invention digitizes and designs children's drawings and exhibits them on an online platform. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. For example, the system digitizes a child's drawing. For example, the system captures the drawing as digital data using a scanner or a smartphone camera. The system then designs the digitized drawing. During the design process, the drawing is processed and edited using specialized design software. For example, color adjustments and background additions are performed to create a more appealing design. The designed drawing is then exhibited on an online platform, for example, on an online marketplace for selling artwork. The artwork is described and priced, allowing buyers to purchase it. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. Furthermore, by increasing opportunities for parents to communicate with others through their children's artwork, this system is also effective in preventing parenting neurosis. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. For example, increasing opportunities for parents to communicate with others through their children's artwork can also be effective in preventing child-rearing neurosis.

[0029] The design system according to the embodiment includes a digitization unit, a designing unit, and an exhibiting unit. The digitization unit captures a child's drawing as digital data. The child's drawing may be, for example, a hand-drawn drawing or a digitally formatted drawing, but is not limited to such examples. The digitization unit digitizes the hand-drawn drawing using, for example, a scanner. The digitization unit can also photograph the drawing using a smartphone camera and save it as digital data. For example, the digitization unit saves the image captured by the scanner at high resolution. When using a smartphone camera, the image can be corrected using a dedicated app and saved as digital data. The designing unit creates a design from the digital data captured by the digitization unit. The designing is performed using, for example, dedicated design software. For example, the designing unit adjusts colors, adds a background, and so on to make the drawing more appealing. The designing unit can be performed by a parent or can be commissioned to an external designer. For example, a parent can edit the drawing themselves using design software. Alternatively, an external designer can be commissioned to create a professional-looking design. The exhibiting unit exhibits the data designed by the designing unit on an online platform. The exhibiting is carried out, for example, on an online marketplace for selling artworks. For example, the exhibiting unit provides descriptions of the artworks and sets prices, allowing buyers to purchase the artworks. In this way, the designing system according to the embodiment can digitize children's drawings, turn them into designs, and exhibit them on an online platform. This allows parents to earn a side income while raising children, and children can experience the joy of seeing their artworks turned into designs.

[0030] The digitizing unit can capture a picture as digital data using a scanner or a smartphone camera. The digitizing unit, for example, captures a handwritten picture as digital data using a scanner. For example, the image captured by the scanner is saved at high resolution. The digitizing unit can also photograph a picture using a smartphone camera and save it as digital data. For example, when using a smartphone camera, the image can be corrected using a dedicated app and saved as digital data. This makes it easy to capture a picture as digital data using a scanner or a smartphone camera.

[0031] The design unit can process and edit pictures using dedicated design software. The design unit processes and edits pictures using dedicated design software, for example. For example, the design unit adjusts colors, adds backgrounds, and so on to make the picture more attractive. The design unit can also be performed by parents, or can be commissioned to an external designer. For example, parents can process pictures using design software themselves, or they can commission an external designer to create a professional design. In this way, by using dedicated design software, pictures can be designed more attractively.

[0032] The designing section can be done by the parent or can be outsourced to an external designer. For example, the parent can edit the picture themselves using design software. Alternatively, the parent can outsource the designing section to a professional design. For example, if the parent edits the picture themselves using design software, they can adjust colors, add a background, etc. Alternatively, if they outsource the designing to an external designer, they can outsource the design to a professional design. This allows parents to choose whether to design the picture themselves or outsource the designing to an external designer.

[0033] The exhibiting department can exhibit works of art on an online marketplace for selling them. The exhibiting department, for example, exhibits works of art on an online marketplace for selling them. For example, the exhibiting department can describe the works and set prices so that buyers can purchase them. For example, the exhibiting department can describe the works by including the title, materials, and production background of the works. Furthermore, the exhibiting department can set prices based on material costs, production time, market prices, and the like. By exhibiting works on an online marketplace, it is possible to sell works widely.

[0034] The exhibiting department can provide a description of the work and set a price so that a buyer can purchase the work. The exhibiting department can, for example, provide a description of the work and set a price so that a buyer can purchase the work. For example, the exhibiting department can describe the work's title, materials, production background, etc. as a description of the work. Furthermore, the exhibiting department can set a price based on material costs, production time, market price, etc. In this way, by providing a description of the work and setting a price, it becomes easier for buyers to purchase the work.

[0035] The system can provide an opportunity for parents to communicate with others through their children's works. For example, the system provides a function for parents to interact with other parents and purchasers on an online platform. For example, the system allows parents to communicate with others through online chat and comment functions. The system also allows parents to receive feedback from others through a review function. This allows parents to communicate with others, which is effective in preventing parenting neurosis.

[0036] The digitization unit can perform correction processing during digitization to faithfully reproduce the colors and textures of the painting. For example, the digitization unit automatically corrects the colors of images captured by a scanner to reproduce colors close to the original. The digitization unit can also adjust the brightness and contrast of images taken with a smartphone camera to reproduce textures. For example, the digitization unit can apply a filter to the digitized image using dedicated software to emphasize textures. This faithfully reproduces the colors and textures of the painting, making the digitized painting closer to the original.

[0037] The digitizing unit can add a function to automatically adjust the size and resolution of a picture during digitization. For example, the digitizing unit can automatically adjust the resolution of an image captured by a scanner and save it at the optimal size. The digitizing unit can also automatically crop the size of an image taken with a smartphone camera and save it at the optimal resolution. For example, the digitizing unit can automatically upscale the resolution of a digitized image to preserve details. This automatically optimizes the size and resolution of a picture, allowing the digitized picture to be saved in the optimal state.

[0038] The digitization unit can add a function that automatically removes the background of a picture and saves it as a transparent background during digitization. For example, the digitization unit can automatically detect the background of an image captured with a scanner and make it transparent. The digitization unit can also automatically remove the background of an image taken with a smartphone camera using dedicated software. For example, the digitization unit can automatically recognize the background of a digitized image using AI and save it as a transparent background. This allows the background of a picture to be automatically removed and saved as a transparent background, increasing the freedom of design.

[0039] The digitization unit can add a function that allows multiple selection of image saving formats during digitization, allowing the image to be saved in a format appropriate for the intended use. For example, the digitization unit can save the digitized image in JPEG format, a format suitable for display on the web. The digitization unit can also save the digitized image in PNG format, preserving a transparent background. For example, the digitization unit can save the digitized image in TIFF format, a format suitable for high-resolution printing. This allows the image to be saved in a format appropriate for the intended use by allowing multiple selection of image saving formats.

[0040] The digitizing unit can add a function that allows a user to enlarge a portion of a picture during digitization to check the details. For example, the digitizing unit can enlarge a portion of a digitized picture to check the details. The digitizing unit can also enlarge a portion of a picture by pinching on the smartphone screen. For example, the digitizing unit can select a portion of a digitized picture and enlarge it to check the details. This allows the user to enlarge a portion of a picture to check the details, allowing the user to check the details even in detail.

[0041] The digitizing unit can add a function to automatically add metadata (such as creation date and time, creator information, etc.) to a picture during digitization. For example, the digitizing unit automatically adds the creation date and time to the digitized picture. The digitizing unit can also automatically add creator information (such as a child's name) to the digitized picture. For example, the digitizing unit can automatically add location information to the digitized picture to record where it was drawn. In this way, by automatically adding metadata to the picture, the creation date and creator information can be recorded.

[0042] The design unit can add a function to apply different design templates depending on the theme of the picture during design. For example, the design unit applies an animal background template to an animal-themed picture. The design unit can also apply a nature background template to a landscape-themed picture. For example, the design unit can apply a pop background template to a character-themed picture. This allows for more attractive designs to be provided by applying different design templates depending on the theme of the picture.

[0043] The design unit can add a function to automatically adjust the color tone and contrast of the image when designing. For example, the design unit automatically adjusts the color tone of the designed image to make it more vivid. The design unit can also automatically adjust the contrast of the designed image to improve visibility. For example, the design unit can adjust the color tone and contrast of the designed image all at once to achieve an overall balance. In this way, by automatically adjusting the color tone and contrast of the image, it is possible to provide a more vivid and highly visible design.

[0044] The design unit can add a function to cut out a part of a picture and place it on a different background when designing. For example, the design unit can cut out a character part of a designed picture and place it on a different background. The design unit can also cut out a landscape part of a designed picture and place it on a different background. For example, the design unit can cut out an object part of a designed picture and place it on a different background. This increases the degree of freedom in design by cutting out a part of a picture and placing it on a different background.

[0045] The design unit can add a function to change the style of the picture (for example, oil painting style, watercolor painting style, etc.) when designing. For example, the design unit processes the designed picture to look like an oil painting. The design unit can also process the designed picture to look like a watercolor painting. For example, the design unit can process the designed picture to look like a pencil drawing. This makes it possible to provide various methods of expression by changing the style of the picture.

[0046] The design unit can add a function to add text or stamps to a picture when designing. For example, the design unit adds a child's name as text to a designed picture. The design unit can also add stamps to a designed picture to emphasize the design. For example, the design unit can add a message as text to a designed picture. This allows for a wider range of design expression by adding text or stamps to a picture.

[0047] The design unit can add a function to create and compare multiple versions of a picture during design. For example, the design unit creates different versions of a designed picture and compares them. The design unit can also create versions of the designed picture with different color tones and compare them. For example, the design unit can create versions of the designed picture with different backgrounds and compare them. This allows the optimal design to be selected by creating and comparing multiple versions of the picture.

[0048] The exhibiting department can add a function to analyze the browsing history of works when exhibiting and prioritize displaying popular works. For example, the exhibiting department can prioritize displaying works with a large number of views. The exhibiting department can also prioritize displaying highly rated works. For example, the exhibiting department can prioritize displaying works with a large number of comments. This makes it easier to attract the interest of buyers by analyzing the browsing history of works and prioritize displaying popular works.

[0049] The exhibiting department can implement an algorithm to automatically set the price of a work when it is exhibited. For example, the exhibiting department can automatically set the price based on the number of views and ratings of the work. The exhibiting department can also automatically set the price based on the time and materials used to create the work. For example, the exhibiting department can analyze the market value of the work and automatically set the price. In this way, by automatically setting the price of the work, it can be sold at an appropriate price.

[0050] The exhibiting department can add a function to automatically send a thank-you message to purchasers of a work when the work is exhibited. For example, the exhibiting department can automatically send a thank-you message when a work is purchased. The exhibiting department can also send a thank-you message to purchasers that includes the background of the work and anecdotes about its creation. For example, the exhibiting department can send a thank-you message to purchasers that includes a coupon that can be used for their next purchase. In this way, by sending a thank-you message to purchasers of a work, the exhibiting department can strengthen the relationship with the purchaser.

[0051] The exhibiting department can add a function to display ratings and reviews of works when exhibiting. For example, the exhibiting department can display buyer ratings so that other users can refer to them. The exhibiting department can also display buyer reviews to convey the appeal of the works. For example, the exhibiting department can integrate buyer ratings and reviews to display an overall rating. This makes it easier for other users to refer to the ratings and reviews of works by displaying them.

[0052] The exhibit department can add a function to analyze the sales history of works at the time of exhibiting and optimize the sales strategy. For example, the exhibit department analyzes past sales history and extracts the characteristics of the works that sold the most. The exhibit department can also set optimal prices based on the sales history. For example, the exhibit department can create sales strategies tailored to specific seasons or events based on the sales history. In this way, sales efficiency can be improved by analyzing the sales history of works and optimizing the sales strategy.

[0053] The exhibiting department can add a function to recommend related works to purchasers of a work when exhibiting. For example, the exhibiting department can recommend other works related to the work purchased by the purchaser. The exhibiting department can also recommend works that the purchaser may be interested in based on the purchaser's past purchase history. For example, the exhibiting department can recommend works that match the purchaser's preferences based on the purchaser's ratings and reviews. This can encourage additional purchases by recommending related works to purchasers of the work.

[0054] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0055] When capturing children's drawings as digital data, the digitizing unit can automatically analyze the content of the drawings and classify them based on specific themes or motifs. For example, drawings of animals can be classified into an animal category, and drawings of landscapes can be classified into a landscape category. The digitizing unit can also analyze the colors and composition of the drawings and group drawings with similar styles. This allows for efficient management of digitized drawings and allows them to be searched and displayed based on specific themes or styles.

[0056] When designing a digitized picture, the design unit can automatically select an appropriate design template based on the content of the picture. For example, an animal background template can be applied to a picture depicting animals, and a nature background template can be applied to a picture depicting landscapes. The design unit can also automatically apply optimal design effects based on the color and composition of the picture. This makes the designed picture more attractive.

[0057] When exhibiting on the online platform, the exhibiting department can analyze the browsing and purchasing history of works and prioritize the display of popular works. For example, works with many views or highly rated works can be displayed on the homepage. The exhibiting department can also recommend related works based on the buyer's past purchasing history. This makes it easier to attract buyers' interest and increases sales opportunities.

[0058] The digitization unit allows users to select multiple formats for saving digitized images, allowing them to save in a format suited to their intended use. For example, users can choose from JPEG, which is suitable for web display; PNG, which retains a transparent background; or TIFF, which is suitable for high-resolution printing. The digitization unit can also automatically adjust the optimal resolution and file size depending on the saving format. This allows users to flexibly select the format in which to save images depending on their intended use.

[0059] The design module can add text and stamps to the designed picture. For example, you can add text such as a child's name or a message, or add stamps to emphasize the design. The design module can also cut out part of the picture and place it on a different background. This expands the range of design expression and allows you to create more unique works.

[0060] The processing flow of the first embodiment will be briefly explained below.

[0061] Step 1: The digitization department captures the child's drawing as digital data. For example, a handwritten drawing can be digitized using a scanner, or the drawing can be photographed using a smartphone camera, corrected using a dedicated app, and saved as digital data. Step 2: The design department designs the digital data captured by the digitization department. For example, they use specialized design software to adjust colors and add backgrounds to make the picture more appealing. The design can be done by the parents themselves or by outsourcing it to an external designer. Step 3: The Exhibitor Department exhibits the data designed by the Design Department on an online platform, such as an online marketplace for selling artworks, by describing and pricing the artworks and allowing buyers to purchase them.

[0062] (Example 2) A system according to an embodiment of the present invention digitizes and designs children's drawings and exhibits them on an online platform. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. For example, the system digitizes a child's drawing. For example, the system captures the drawing as digital data using a scanner or a smartphone camera. The system then designs the digitized drawing. During the design process, the drawing is processed and edited using specialized design software. For example, color adjustments and background additions are performed to create a more appealing design. The designed drawing is then exhibited on an online platform, for example, on an online marketplace for selling artwork. The artwork is described and priced, allowing buyers to purchase it. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. Furthermore, by increasing opportunities for parents to communicate with others through their children's artwork, this system is also effective in preventing parenting neurosis. This system allows parents to earn a side income while raising children, and children can experience the joy of seeing their artwork turned into a design. For example, increasing opportunities for parents to communicate with others through their children's artwork can also be effective in preventing child-rearing neurosis.

[0063] The design system according to the embodiment includes a digitization unit, a designing unit, and an exhibiting unit. The digitization unit captures a child's drawing as digital data. The child's drawing may be, for example, a hand-drawn drawing or a digitally formatted drawing, but is not limited to such examples. The digitization unit digitizes the hand-drawn drawing using, for example, a scanner. The digitization unit can also photograph the drawing using a smartphone camera and save it as digital data. For example, the digitization unit saves the image captured by the scanner at high resolution. When using a smartphone camera, the image can be corrected using a dedicated app and saved as digital data. The designing unit creates a design from the digital data captured by the digitization unit. The designing is performed using, for example, dedicated design software. For example, the designing unit adjusts colors, adds a background, and so on to make the drawing more appealing. The designing unit can be performed by a parent or can be commissioned to an external designer. For example, a parent can edit the drawing themselves using design software. Alternatively, an external designer can be commissioned to create a professional-looking design. The exhibiting unit exhibits the data designed by the designing unit on an online platform. The exhibiting is carried out, for example, on an online marketplace for selling artworks. For example, the exhibiting unit provides descriptions of the artworks and sets prices, allowing buyers to purchase the artworks. In this way, the designing system according to the embodiment can digitize children's drawings, turn them into designs, and exhibit them on an online platform. This allows parents to earn a side income while raising children, and children can experience the joy of seeing their artworks turned into designs.

[0064] The digitizing unit can capture a picture as digital data using a scanner or a smartphone camera. The digitizing unit, for example, captures a handwritten picture as digital data using a scanner. For example, the image captured by the scanner is saved at high resolution. The digitizing unit can also photograph a picture using a smartphone camera and save it as digital data. For example, when using a smartphone camera, the image can be corrected using a dedicated app and saved as digital data. This makes it easy to capture a picture as digital data using a scanner or a smartphone camera.

[0065] The design unit can process and edit pictures using dedicated design software. The design unit processes and edits pictures using dedicated design software, for example. For example, the design unit adjusts colors, adds backgrounds, and so on to make the picture more attractive. The design unit can also be performed by parents, or can be commissioned to an external designer. For example, parents can process pictures using design software themselves, or they can commission an external designer to create a professional design. In this way, by using dedicated design software, pictures can be designed more attractively.

[0066] The designing section can be done by the parent or can be outsourced to an external designer. For example, the parent can edit the picture themselves using design software. Alternatively, the parent can outsource the designing section to a professional design. For example, if the parent edits the picture themselves using design software, they can adjust colors, add a background, etc. Alternatively, if they outsource the designing to an external designer, they can outsource the design to a professional design. This allows parents to choose whether to design the picture themselves or outsource the designing to an external designer.

[0067] The exhibiting department can exhibit works of art on an online marketplace for selling them. The exhibiting department, for example, exhibits works of art on an online marketplace for selling them. For example, the exhibiting department can describe the works and set prices so that buyers can purchase them. For example, the exhibiting department can describe the works by including the title, materials, and production background of the works. Furthermore, the exhibiting department can set prices based on material costs, production time, market prices, and the like. By exhibiting works on an online marketplace, it is possible to sell works widely.

[0068] The exhibiting department can provide a description of the work and set a price so that a buyer can purchase the work. The exhibiting department can, for example, provide a description of the work and set a price so that a buyer can purchase the work. For example, the exhibiting department can describe the work's title, materials, production background, etc. as a description of the work. Furthermore, the exhibiting department can set a price based on material costs, production time, market price, etc. In this way, by providing a description of the work and setting a price, it becomes easier for buyers to purchase the work.

[0069] The system can provide an opportunity for parents to communicate with others through their children's works. For example, the system provides a function for parents to interact with other parents and purchasers on an online platform. For example, the system allows parents to communicate with others through online chat and comment functions. The system also allows parents to receive feedback from others through a review function. This allows parents to communicate with others, which is effective in preventing parenting neurosis.

[0070] The digitization unit can estimate the child's emotions and adjust the timing of digitization of the picture based on the estimated child's emotions. For example, the digitization unit estimates the child's emotions and adjusts the timing of digitization of the picture based on the estimated child's emotions. For example, if the child is excited, the picture can be digitized immediately to reflect the child's emotions at that moment. Alternatively, if the child is calm, the picture can be digitized after the child finishes drawing. Alternatively, if the child is tired, the picture can be digitized after a break. In this way, by adjusting the timing of digitization according to the child's emotions, the picture can be digitized at a more appropriate time. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI.

[0071] The digitization unit can perform correction processing during digitization to faithfully reproduce the colors and textures of the painting. For example, the digitization unit automatically corrects the colors of images captured by a scanner to reproduce colors close to the original. The digitization unit can also adjust the brightness and contrast of images taken with a smartphone camera to reproduce textures. For example, the digitization unit can apply a filter to the digitized image using dedicated software to emphasize textures. This faithfully reproduces the colors and textures of the painting, making the digitized painting closer to the original.

[0072] The digitizing unit can add a function to automatically adjust the size and resolution of a picture during digitization. For example, the digitizing unit can automatically adjust the resolution of an image captured by a scanner and save it at the optimal size. The digitizing unit can also automatically crop the size of an image taken with a smartphone camera and save it at the optimal resolution. For example, the digitizing unit can automatically upscale the resolution of a digitized image to preserve details. This automatically optimizes the size and resolution of a picture, allowing the digitized picture to be saved in the optimal state.

[0073] The digitization unit can add a function that automatically removes the background of a picture and saves it as a transparent background during digitization. For example, the digitization unit can automatically detect the background of an image captured with a scanner and make it transparent. The digitization unit can also automatically remove the background of an image taken with a smartphone camera using dedicated software. For example, the digitization unit can automatically recognize the background of a digitized image using AI and save it as a transparent background. This allows the background of a picture to be automatically removed and saved as a transparent background, increasing the freedom of design.

[0074] The digitization unit can estimate the child's emotions and determine the priority of pictures to be digitized based on the estimated child's emotions. The digitization unit, for example, estimates the child's emotions and determines the priority of pictures to be digitized based on the estimated child's emotions. For example, if the child is happy, that picture can be digitized first. Also, if the child is sad, that picture can be postponed and other pictures can be prioritized. Also, if the child is excited, that picture can be digitized immediately. In this way, by determining the priority of pictures to be digitized according to the child's emotions, more appropriate pictures can be digitized first. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI can be, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI.

[0075] The digitization unit can add a function that allows multiple selection of image saving formats during digitization, allowing the image to be saved in a format appropriate for the intended use. For example, the digitization unit can save the digitized image in JPEG format, a format suitable for display on the web. The digitization unit can also save the digitized image in PNG format, preserving a transparent background. For example, the digitization unit can save the digitized image in TIFF format, a format suitable for high-resolution printing. This allows the image to be saved in a format appropriate for the intended use by allowing multiple selection of image saving formats.

[0076] The digitizing unit can add a function that allows a user to enlarge a portion of a picture during digitization to check the details. For example, the digitizing unit can enlarge a portion of a digitized picture to check the details. The digitizing unit can also enlarge a portion of a picture by pinching on the smartphone screen. For example, the digitizing unit can select a portion of a digitized picture and enlarge it to check the details. This allows the user to enlarge a portion of a picture to check the details, allowing the user to check the details even in detail.

[0077] The digitizing unit can add a function to automatically add metadata (such as creation date and time, creator information, etc.) to a picture during digitization. For example, the digitizing unit automatically adds the creation date and time to the digitized picture. The digitizing unit can also automatically add creator information (such as a child's name) to the digitized picture. For example, the digitizing unit can automatically add location information to the digitized picture to record where it was drawn. In this way, by automatically adding metadata to the picture, the creation date and creator information can be recorded.

[0078] The design unit can estimate the child's emotion and adjust the design expression method based on the estimated child's emotion. The design unit, for example, estimates the child's emotion and adjusts the design expression method based on the estimated child's emotion. For example, if the child is happy, a bright color design can be applied. If the child is sad, a calm color design can be applied. If the child is excited, a dynamic design can be applied. In this way, by adjusting the design expression method according to the child's emotion, a more appropriate design can be provided. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0079] The design unit can add a function to apply different design templates depending on the theme of the picture during design. For example, the design unit applies an animal background template to an animal-themed picture. The design unit can also apply a nature background template to a landscape-themed picture. For example, the design unit can apply a pop background template to a character-themed picture. This allows for more attractive designs to be provided by applying different design templates depending on the theme of the picture.

[0080] The design unit can add a function to automatically adjust the color tone and contrast of the image when designing. For example, the design unit automatically adjusts the color tone of the designed image to make it more vivid. The design unit can also automatically adjust the contrast of the designed image to improve visibility. For example, the design unit can adjust the color tone and contrast of the designed image all at once to achieve an overall balance. In this way, by automatically adjusting the color tone and contrast of the image, it is possible to provide a more vivid and highly visible design.

[0081] The design unit can add a function to cut out a part of a picture and place it on a different background when designing. For example, the design unit can cut out a character part of a designed picture and place it on a different background. The design unit can also cut out a landscape part of a designed picture and place it on a different background. For example, the design unit can cut out an object part of a designed picture and place it on a different background. This increases the degree of freedom in design by cutting out a part of a picture and placing it on a different background.

[0082] The design unit can estimate the child's emotion and adjust the level of detail of the design based on the estimated child's emotion. The design unit, for example, estimates the child's emotion and adjusts the level of detail of the design based on the estimated child's emotion. For example, if the child is happy, a detailed design can be applied. If the child is sad, a simple design can be applied. If the child is excited, a dynamic design can be applied. In this way, by adjusting the level of detail of the design according to the child's emotion, a more appropriate design can be provided. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generation AI. The generation AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0083] The design unit can add a function to change the style of the picture (for example, oil painting style, watercolor painting style, etc.) when designing. For example, the design unit processes the designed picture to look like an oil painting. The design unit can also process the designed picture to look like a watercolor painting. For example, the design unit can process the designed picture to look like a pencil drawing. This makes it possible to provide various methods of expression by changing the style of the picture.

[0084] The design unit can add a function to add text or stamps to a picture when designing. For example, the design unit adds a child's name as text to a designed picture. The design unit can also add stamps to a designed picture to emphasize the design. For example, the design unit can add a message as text to a designed picture. This allows for a wider range of design expression by adding text or stamps to a picture.

[0085] The design unit can add a function to create and compare multiple versions of a picture during design. For example, the design unit creates different versions of a designed picture and compares them. The design unit can also create versions of the designed picture with different color tones and compare them. For example, the design unit can create versions of the designed picture with different backgrounds and compare them. This allows the optimal design to be selected by creating and comparing multiple versions of the picture.

[0086] The exhibiting unit can estimate the child's emotions and determine the priority of the works to be exhibited based on the estimated child's emotions. The exhibiting unit, for example, estimates the child's emotions and determines the priority of the works to be exhibited based on the estimated child's emotions. For example, if the child is happy, that picture can be exhibited first. Also, if the child is sad, that picture can be put aside and other pictures can be prioritized. Also, if the child is excited, that picture can be exhibited immediately. In this way, by determining the priority of the works to be exhibited according to the child's emotions, more appropriate works can be exhibited first. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI can be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI.

[0087] The exhibiting department can add a function to analyze the browsing history of works when exhibiting and prioritize displaying popular works. For example, the exhibiting department can prioritize displaying works with a large number of views. The exhibiting department can also prioritize displaying highly rated works. For example, the exhibiting department can prioritize displaying works with a large number of comments. This makes it easier to attract the interest of buyers by analyzing the browsing history of works and prioritize displaying popular works.

[0088] The exhibiting department can implement an algorithm to automatically set the price of a work when it is exhibited. For example, the exhibiting department can automatically set the price based on the number of views and ratings of the work. The exhibiting department can also automatically set the price based on the time and materials used to create the work. For example, the exhibiting department can analyze the market value of the work and automatically set the price. In this way, by automatically setting the price of the work, it can be sold at an appropriate price.

[0089] The exhibiting department can add a function to automatically send a thank-you message to purchasers of a work when the work is exhibited. For example, the exhibiting department can automatically send a thank-you message when a work is purchased. The exhibiting department can also send a thank-you message to purchasers that includes the background of the work and anecdotes about its creation. For example, the exhibiting department can send a thank-you message to purchasers that includes a coupon that can be used for their next purchase. In this way, by sending a thank-you message to purchasers of a work, the exhibiting department can strengthen the relationship with the purchaser.

[0090] The exhibit unit can estimate the child's emotions and adjust the description of the exhibited work based on the estimated child's emotions. The exhibit unit, for example, estimates the child's emotions and adjusts the description of the exhibited work based on the estimated child's emotions. For example, if the child is happy, a description with a bright tone can be added. If the child is sad, a description with a calm tone can be added. If the child is excited, a description with an energetic tone can be added. In this way, the appeal of the work can be more effectively conveyed by adjusting the description according to the child's emotions. Emotion estimation is realized using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI can be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to these examples.

[0091] The exhibiting department can add a function to display ratings and reviews of works when exhibiting. For example, the exhibiting department can display buyer ratings so that other users can refer to them. The exhibiting department can also display buyer reviews to convey the appeal of the works. For example, the exhibiting department can integrate buyer ratings and reviews to display an overall rating. This makes it easier for other users to refer to the ratings and reviews of works by displaying them.

[0092] The exhibit department can add a function to analyze the sales history of works at the time of exhibiting and optimize the sales strategy. For example, the exhibit department analyzes past sales history and extracts the characteristics of the works that sold the most. The exhibit department can also set optimal prices based on the sales history. For example, the exhibit department can create sales strategies tailored to specific seasons or events based on the sales history. In this way, sales efficiency can be improved by analyzing the sales history of works and optimizing the sales strategy.

[0093] The exhibiting department can add a function to recommend related works to purchasers of a work when exhibiting. For example, the exhibiting department can recommend other works related to the work purchased by the purchaser. The exhibiting department can also recommend works that the purchaser may be interested in based on the purchaser's past purchase history. For example, the exhibiting department can recommend works that match the purchaser's preferences based on the purchaser's ratings and reviews. This can encourage additional purchases by recommending related works to purchasers of the work. === Hard Collateral 1-1 === Each of the multiple elements including the digitizing unit, the designing unit, and the exhibiting unit described above is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the digitizing unit captures a child's drawing as digital data using the camera 42 or scanner of the smart device 14. The designing unit processes and edits the digital data using dedicated design software by the specific processing unit 290 of the data processing device 12. The exhibiting unit exhibits the designed data on an online platform by the specific processing unit 290 of the data processing device 12. For example, the digitizing unit estimates the child's emotions using the specific processing unit 290 of the data processing device 12 and adjusts the timing of digitizing the drawing based on the estimated emotions. === Hard Collateral 1-2 === Each of the multiple elements, including the digitizing unit, the designing unit, and the displaying unit, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the digitizing unit captures a child's drawing as digital data using the camera 42 or scanner of the smart glasses 214. The designing unit processes and edits the digital data using dedicated design software by the specific processing unit 290 of the data processing device 12. The displaying unit displays the designed data on an online platform by the specific processing unit 290 of the data processing device 12. For example, the digitizing unit estimates the child's emotions using the specific processing unit 290 of the data processing device 12 and adjusts the timing of digitizing the drawing based on the estimated emotions. === Hard Collateral 1-3 === Each of the multiple elements including the digitizing unit, the designing unit, and the display unit described above is realized, for example, by at least one of the headset-type terminal 314 and the data processing device 12. For example, the digitizing unit captures a child's drawing as digital data using the camera 42 or scanner of the headset-type terminal 314. The designing unit processes and edits the digital data using dedicated design software by the specific processing unit 290 of the data processing device 12. The display unit displays the designed data on an online platform by the specific processing unit 290 of the data processing device 12. For example, the digitizing unit estimates the child's emotions using the specific processing unit 290 of the data processing device 12 and adjusts the timing of digitizing the picture based on the estimated emotions. === Hard Collateral 1-4 === Each of the multiple elements including the digitizing unit, the designing unit, and the display unit described above is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the digitizing unit captures a child's drawing as digital data using the camera 42 or scanner of the robot 414. The designing unit processes and edits the digital data using dedicated design software by the specific processing unit 290 of the data processing device 12. The display unit displays the designed data on an online platform by the specific processing unit 290 of the data processing device 12. For example, the digitizing unit estimates the child's emotions using the specific processing unit 290 of the data processing device 12 and adjusts the timing of digitizing the drawing based on the estimated emotions.

[0094] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0095] When capturing children's drawings as digital data, the digitizing unit can automatically analyze the content of the drawings and classify them based on specific themes or motifs. For example, drawings of animals can be classified into an animal category, and drawings of landscapes can be classified into a landscape category. The digitizing unit can also analyze the colors and composition of the drawings and group drawings with similar styles. This allows for efficient management of digitized drawings and allows them to be searched and displayed based on specific themes or styles.

[0096] When designing a digitized picture, the design unit can automatically select an appropriate design template based on the content of the picture. For example, an animal background template can be applied to a picture depicting animals, and a nature background template can be applied to a picture depicting landscapes. The design unit can also automatically apply optimal design effects based on the color and composition of the picture. This makes the designed picture more attractive.

[0097] When exhibiting on the online platform, the exhibiting department can analyze the browsing and purchasing history of works and prioritize the display of popular works. For example, works with many views or highly rated works can be displayed on the homepage. The exhibiting department can also recommend related works based on the buyer's past purchasing history. This makes it easier to attract buyers' interest and increases sales opportunities.

[0098] The digitization unit allows users to select multiple formats for saving digitized images, allowing them to save in a format suited to their intended use. For example, users can choose from JPEG, which is suitable for web display; PNG, which retains a transparent background; or TIFF, which is suitable for high-resolution printing. The digitization unit can also automatically adjust the optimal resolution and file size depending on the saving format. This allows users to flexibly select the format in which to save images depending on their intended use.

[0099] The design module can add text and stamps to the designed picture. For example, you can add text such as a child's name or a message, or add stamps to emphasize the design. The design module can also cut out part of the picture and place it on a different background. This expands the range of design expression and allows you to create more unique works.

[0100] The digitization unit can estimate the child's emotions and determine the priority of pictures to be digitized based on the estimated child's emotions. For example, if the child is happy, that picture can be digitized first. On the other hand, if the child is sad, that picture can be postponed and other pictures can be prioritized. In this way, by determining the priority of pictures to be digitized according to the child's emotions, more appropriate pictures can be digitized first.

[0101] The design unit can estimate the child's emotions and adjust the design expression method based on the estimated child's emotions. For example, if the child is happy, a bright color design can be applied. If the child is sad, a calm color design can be applied. In this way, by adjusting the design expression method according to the child's emotions, a more appropriate design can be provided.

[0102] The exhibiting department can estimate the child's emotions and prioritize the works to be exhibited based on the estimated child's emotions. For example, if the child is happy, that picture can be exhibited first. Also, if the child is sad, that picture can be put aside and other pictures can be exhibited first. In this way, by prioritizing the works to be exhibited based on the child's emotions, more appropriate works can be exhibited first.

[0103] The exhibitors can estimate a child's emotions and adjust the description of the exhibited work based on the estimated child's emotions. For example, if a child is happy, they can add a description with a brighter tone. If a child is sad, they can add a description with a calmer tone. This allows the appeal of the work to be conveyed more effectively by adjusting the description according to the child's emotions.

[0104] The design unit can estimate the child's emotions and adjust the level of detail in the design based on the estimated child's emotions. For example, if the child is happy, a detailed design can be applied. If the child is sad, a simple design can be applied. In this way, by adjusting the level of detail in the design according to the child's emotions, a more appropriate design can be provided.

[0105] The processing flow of the second embodiment will be briefly explained below.

[0106] Step 1: The digitization department captures the child's drawing as digital data. For example, a handwritten drawing can be digitized using a scanner, or the drawing can be photographed using a smartphone camera, corrected using a dedicated app, and saved as digital data. Step 2: The design department designs the digital data captured by the digitization department. For example, they use specialized design software to adjust colors and add backgrounds to make the picture more appealing. The design can be done by the parents themselves or by outsourcing it to an external designer. Step 3: The Exhibitor Department exhibits the data designed by the Design Department on an online platform, such as an online marketplace for selling artworks, by describing and pricing the artworks and allowing buyers to purchase them.

[0107] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0108] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0109] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0110] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0111] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0112] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0113] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0114] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0115] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0116] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0117] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0118] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0119] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0120] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0121] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0122] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0123] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0124] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0125] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0126] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0127] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0128] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0129] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0130] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0131] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0132] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0133] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0134] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0135] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0136] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0137] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0138] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0139] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0140] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0141] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0142] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0143] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0144] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0145] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0146] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0147] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0148] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0149] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0150] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0151] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0152] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0153] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0154] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0155] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0156] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0157] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0158] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0159] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0160] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0161] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0162] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0163] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0164] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0165] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0166] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0167] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0168] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0169] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0170] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0171] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0172] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0173] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0174] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0175] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0176] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0177] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[0178] [Explanation of symbols]

[0179] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A digitization department that captures children's drawings as digital data, a designing unit that designs the digital data captured by the digitizing unit; an exhibitor that exhibits the data designed by the designing unit on an online platform; A system characterized by:

2. The digitizing unit Use a scanner or your smartphone camera to digitally capture the drawing.

2. The system of claim 1.

3. The designing unit Use dedicated design software to process and edit your images 2. The system of claim 1.

4. The designing unit Can be done by parents or outsourced to an outside designer 2. The system of claim 1.

5. The exhibitor department: List your artwork on an online marketplace 2. The system of claim 1.

6. The exhibitor department: Describe and price your work so buyers can purchase it 2. The system of claim 1.

7. The system comprises: Providing opportunities for parents to communicate with others through their children's artwork 2. The system of claim 1.

8. The digitizing unit Estimate the child's emotions and adjust the timing of digitizing the picture based on the estimated emotions.

2. The system of claim 1.

Images