Interior space simulation device

Abstract

To recommend interior spaces, including interior furnishings, that match the user's image, without using complex machine learning. [Solution] In the interior space simulation device 1 according to the present disclosure, when the acquisition unit 11 acquires selected sample book information indicating the identification information of a sample book selected by the user from the user terminal 20, the generation unit 14 acquires a display image of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12 and the selected sample book information acquired by the acquisition unit 11 from the storage unit 13.

Description

Technical Field

[0001] The present disclosure relates to an interior space simulation device.

Background Art

[0002] Conventionally, a device for assisting a user in selecting interior goods has been known (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the device described in Patent Document 1 has a problem that it is necessary to perform complex machine learning.

[0005] Therefore, the present disclosure has been made in view of the above problems, and an object thereof is to provide an interior space simulation device that can recommend an interior space including interior goods that match the user's image without using complex machine learning.

Means for Solving the Problems

[0006] The first feature of this disclosure is an interior space simulation device comprising: an acquisition unit that acquires questionnaire results input by a user terminal; an atmosphere information acquisition unit that acquires the atmosphere information of the interior space from a learning model by inputting the keyword combinations included in the questionnaire results into a learning model that has been machine-learned using keyword combinations and atmosphere information of the interior space including interior goods as training data; a storage unit that stores the atmosphere information of the interior space, a display image of the interior space, and identification information of a sample book in which the interior goods are listed in association with each other; a generation unit that acquires the display image of the interior space from the storage unit; and a transmission unit that transmits the display image of the interior space acquired by the generation unit to the user terminal as a display image on the user terminal. The gist of this disclosure is that when the acquisition unit acquires selected sample book information from the user terminal indicating identification information of a sample book selected by the user, the generation unit acquires the display image of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit and the selected sample book information acquired by the acquisition unit from the storage unit.

[0007] The second feature of this disclosure is an interior space simulation device comprising: an acquisition unit that acquires questionnaire results input by a user terminal; an atmosphere information acquisition unit that acquires the atmosphere information of the interior space from the learning model by inputting the keyword combinations included in the questionnaire results into a learning model that has been machine-learned using keyword combinations and atmosphere information of the interior space including interior items as training data; a storage unit that stores the atmosphere information of the interior space, a display image of the interior space, and identification information of a sample book in which the interior items are listed in association with each other; and the storage unit that retrieves the interior The system comprises a generation unit that acquires display images for a space, and a transmission unit that transmits the display images of the interior space acquired by the generation unit to the user terminal as display images for the user terminal. The gist of the system is that when the acquisition unit acquires excluded sample book information from the user terminal, indicating the identification information of sample books excluded by the user, the generation unit acquires from the storage unit a display image of the interior space that is not associated with the excluded sample book information, among the display images of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit.

[0008] A third feature of this disclosure is an interior space simulation device comprising: an acquisition unit that acquires questionnaire results input by a user terminal; an atmosphere information acquisition unit that acquires the atmosphere information of the interior space from a learning model by inputting the keyword combinations included in the questionnaire results into a learning model that has been machine-learned using keyword combinations and atmosphere information of the interior space including interior items as training data; a storage unit that stores the atmosphere information of the interior space and a display image of the interior space in association with each other; a generation unit that generates a display image for the user terminal based on the display image of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit; and a transmission unit that transmits the display image for the user terminal to the user terminal. The gist of the device is that when the acquisition unit acquires brightness information indicating the brightness of the interior space, the generation unit generates a display image for the user terminal based on the display image of the interior space and the brightness information. [Effects of the Invention]

[0009] According to this disclosure, it is possible to provide an interior space simulation device that can recommend interior spaces, including interior furnishings that match the user's image, without using complex machine learning. [Brief explanation of the drawing]

[0010] [Figure 1] Figure 1 shows an example of a functional block of an interior space simulation device 1 according to one embodiment. [Figure 2] Figure 2 shows an example of questionnaire results input to the interior space simulation device 11 according to one embodiment, and an example of a display image of the interior space output by the interior space simulation device 11 according to one embodiment. [Figure 3] Figure 3 is a flowchart showing an example of the operation of the interior space simulation device 1 according to one embodiment. [Modes for carrying out the invention]

[0011] Preferred embodiments of the present invention will be described in detail below with reference to the attached drawings. In the following drawings, identical or similar parts are denoted by the same or similar reference numerals. However, it should be noted that the drawings are schematic, and the ratios of dimensions, etc., may differ from those of reality. Therefore, specific dimensions, etc., should be determined by referring to the following description. Furthermore, there may be parts in the drawings where the relationships and ratios of dimensions differ from those of other parts. In this specification and drawings, elements having substantially the same function and configuration are denoted by the same reference numerals to avoid redundant explanations, and elements not directly related to the present invention are omitted from the illustration.

[0012] (First Embodiment) Hereinafter, an interior space simulation device 1 according to the first embodiment of the present invention will be described with reference to Figures 1 to 3. Figure 1 is a diagram showing an example of the functional blocks of the interior space simulation device 1 according to this embodiment, Figure 2(a) is a diagram showing an example of questionnaire results input to the interior space simulation device 11 according to this embodiment, Figure 2(b) is a diagram showing an example of a display image of an interior space output by the interior space simulation device 1 according to this embodiment, and Figure 3 is a flowchart showing an example of the operation of the interior space simulation device 1 according to this embodiment.

[0013] The interior space simulation device 1 according to this embodiment is a device that can display an image of an interior space that matches the user's image on a predetermined user terminal 20.

[0014] In this embodiment, the interior space does not simply refer to a space including interior furnishings, but rather to an interior space that has been coordinated as a whole by an interior coordinator or the like.

[0015] The interior space simulation device 1 and the user terminal 20 may be connected via a wireless network or a wired network.

[0016] For example, the user may use the user terminal 20 provided in a showroom or the like to display an image for displaying an interior space that matches their own image, or may use their own user terminal 20 (for example, a smartphone, a PC, etc.) to display an image for displaying an interior space that matches their own image.

[0017] Specifically, the interior space simulation device 1 includes an acquisition unit 11, an atmosphere information acquisition unit 12, a storage unit 13, a generation unit 14, and a transmission unit 15.

[0018] The acquisition unit 11 acquires the questionnaire result input by the user terminal 20. FIG. 2(a) shows an example of such a questionnaire result.

[0019] For example, such questionnaire results include the user's age, gender, family composition, presence or absence of pets, hobbies (such as music, travel, sports, etc.).

[0020] The acquisition unit 11 can acquire, from the user terminal 20, selection sample book information indicating the identification information of the sample book selected by the user and exclusion sample book information indicating the identification information of the sample book excluded by the user.

[0021] Here, the user can use the user terminal 20 to select a sample book in which interior items desired to be included in the image for displaying the interior space are listed, or exclude a sample book in which interior items not desired to be included in the image for displaying the interior space are listed.

[0022] The atmosphere information acquisition unit 12 creates a learning model for determining the atmosphere information of the interior space from the input keyword combination by performing machine learning with the keyword combination and the atmosphere information of the interior space as teacher data.

[0023] Here, the atmosphere information acquisition unit 12 may create such a learning model by image recognition using deep learning, or may create such a learning model using generative AI.

[0024] For example, as the keyword combination, any combination of the above-mentioned user's age, gender, family composition, presence or absence of pets, and hobbies is assumed.

[0025] For example, the atmosphere information is information indicating atmospheres such as "South Seas style", "European style", "Asian style", "Nordic style", "bright color tone", "dark color tone", "bright atmosphere", "calm atmosphere", "hardly noticeable dirt", etc.

[0026] Also, such an interior space includes interior goods. For example, interior goods include makeup sheets, makeup films, floor materials, tiles, carpets, cushion floors, vinyl long sheets, wallpapers, ceiling materials, chair fabrics, cushions, multi-covers, rugs, curtains, roller screens, blinds, etc. Also, interior goods may include various furniture products, various household electrical appliances, lighting fixtures, and decorations such as paintings.

[0027] Also, the atmosphere information acquisition unit 12 acquires the atmosphere information of the interior space from the above-mentioned learning model by inputting the keyword combination included in the questionnaire result acquired by the acquisition unit 11.

[0028] The storage unit 13 stores the atmosphere information of the interior space and the display image of the interior space in association with each other. An example of such a display image of the interior space is shown in Fig. 2(b).

[0029] For example, an image used to display an interior space is generated by replacing the interior furnishings in a pre-prepared image of a room with the interior furnishings that the user wants to suggest to the user.

[0030] Alternatively, the image used to display the interior space may be an image generated by replacing the interior furnishings in the image of the interior space input from the user terminal 20 with interior furnishings that the user wishes to propose to the user.

[0031] Furthermore, the memory unit 13 may store information about the atmosphere of the interior space, images for displaying the interior space, and identification information of the sample book containing the interior items in association with each other.

[0032] The generation unit 14 acquires an image for displaying the interior space from the storage unit 13. The generation unit 14 may also acquire an image for displaying the interior space from the storage unit 13 that is stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12.

[0033] The transmitting unit 15 transmits the display image of the interior space acquired by the generation unit 14 to the user terminal 20 as the display image on the user terminal 20.

[0034] For example, if the acquisition unit 11 acquires the above-mentioned sample book information from the user terminal 20, the generation unit 14 may acquire from the storage unit 13 a display image of the interior space that is stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12 and the sample book information acquired by the acquisition unit 11.

[0035] On the other hand, if the acquisition unit 11 acquires the excluded sample book information from the user terminal 20, the generation unit 14 may acquire from the storage unit 13 display images of interior spaces that are not associated with the excluded sample book information, among the display images of interior spaces stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12.

[0036] With this configuration, if there is a sample book that matches the user's budget and needs, selecting the sample book in advance makes it easier for the user to decide on interior items that are suitable for an interior space that matches their vision.

[0037] When interior coordinators and clients select interior furnishings for an interior space, the user's budget may be an obstacle (they may not be able to freely select product designs). Therefore, the generation unit 15 may acquire display images of the interior space that are stored in association with sample books that have not been pre-selected by the user (including excluded sample books).

[0038] Furthermore, the acquisition unit 11 can acquire brightness information indicating the brightness of the interior space.

[0039] Here, the brightness of an interior space is determined by factors such as the brightness, color, and angle of the lighting, as well as the brightness and angle of sunlight. Lighting color includes options such as incandescent, warm white, neutral white, and daylight.

[0040] Furthermore, the brightness of the interior space may be determined by factors such as the placement of lighting fixtures and the positioning of windows that allow sunlight to enter.

[0041] The generation unit 14 may generate a display image for the user terminal 20 based on a display image of the interior space that is stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12.

[0042] For example, if the acquisition unit 11 acquires the brightness information described above, the generation unit 14 may generate a display image for the user terminal 20 based on the display image of the interior space and the brightness information.

[0043] This configuration allows users to understand the color and texture of interior items they are considering selecting in advance, based on the lighting's hue, thus facilitating the verification process for selecting interior items.

[0044] Furthermore, the generation unit 14 may generate multiple display images of interior spaces with different brightness levels, i.e., multiple patterns of display images of interior spaces with different overall screen brightness levels, for display images of interior spaces that include the same combination of interior furnishings, and store them in the storage unit 13.

[0045] This configuration allows users to understand the colors of interior items they are considering selecting when illuminated by sunlight, thus facilitating the selection process.

[0046] Alternatively, the generation unit 14 may generate multiple display images of interior spaces that include the same combination of interior furnishings, but are set up at different times of day (e.g., early morning, daytime, evening, or night), and store them in the storage unit 13. For example, each of the display images of interior spaces at different times of day may be set up to have different overall screen brightness and background colors.

[0047] This configuration allows users to check differences in the brightness, color, and angle of lighting, differences in the brightness and angle of sunlight, and differences in the brightness of the interior space depending on the time of day, making it easier to verify whether it matches the user's image of the interior space.

[0048] Furthermore, the generation unit 14 may generate multiple display images of an interior space that includes the same combination of interior furnishings, viewed from various angles (for example, from the front, side, or diagonally), and store them in the storage unit 13.

[0049] This configuration allows users to view the interior space from various angles, making it easier to verify whether it matches their envisioned interior space.

[0050] Furthermore, this configuration has the effect of making it easier to consider interior spaces for people of various generations. Specifically, this configuration allows you to view the interior space from the perspective of children and seniors, making it particularly preferable when considering interior spaces for families of various generations.

[0051] Furthermore, this configuration makes it easier for the user to check areas higher than their height. Additionally, because it allows the user to check areas higher than their height and interior spaces that are difficult for them to see, it makes it easier to verify whether the interior space matches the user's vision.

[0052] The transmission unit 15 may also change the interior furnishings included in the display image of the interior space in response to a request from the user terminal 20 (see Figures 2(c) and 2(d)). Such requests may include information relating to interior furnishings that the user is interested in (for example, product category, image, product information, information in a sample book in which the product is listed, etc.).

[0053] Furthermore, the system may be configured to allow the user to input desired lighting brightness (illuminance of lighting fixtures, etc.), color tone and angle, sunlight brightness and angle, time of day, and angle for checking the appearance of the interior space, etc., on the screen displayed on the user terminal 20.

[0054] In such a case, the acquisition unit 11 may be configured to acquire brightness information such as the brightness of the lighting (illuminance of lighting fixtures, etc.), color and angle, brightness and angle of sunlight, time of day, and angle for checking the appearance of the interior space, as specified by the user via the user terminal 20, and the generation unit 14 may be configured to acquire from the storage unit 13 a display image of the interior space that corresponds to the brightness information input by the user via the user terminal 20, from among the display images of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12.

[0055] Alternatively, the system may be configured so that the user can enlarge or reduce the display image of the interior space by inputting a desired size (a numerical value indicating the size, such as a percentage (%)) on a screen containing the display image of the interior space displayed on the user terminal 20, or by performing operations such as pinching in or pinching out.

[0056] In such a case, the acquisition unit 11 may be configured to acquire an enlargement or reduction instruction operated by the user via the user terminal 20, and the generation unit 14 may be configured to generate a display image of the enlarged or reduced interior space in response to such instruction.

[0057] With this configuration, users can easily compare and examine display images of multiple interior spaces, making it easier for them to select an interior space that matches their vision.

[0058] Specifically, this configuration allows for optimal display of interior space images, tailored to the screen size of the user terminal 20. If the user terminal 20 is a tablet or PC, it can display many interior space images, making it easier for the user to compare and consider them.

[0059] In such a case, the acquisition unit 11 may acquire the evaluation entered by the user via the user terminal 20, and if such evaluation is lower than a predetermined point (i.e., a negative evaluation), the transmission unit 15 may be configured to transmit an image for displaying another interior space to the user terminal 20.

[0060] Alternatively, the acquisition unit 11 may acquire an evaluation entered by the user via the user terminal 20, and if such evaluation is lower than a predetermined point and the user terminal 20 sends an instruction to reacquire, the transmission unit 15 may be configured to transmit a display image of a different interior space to the user terminal 20.

[0061] Furthermore, the acquisition unit 11 acquires evaluations entered by the user via the user terminal 20, and if such evaluations are higher than a predetermined score (i.e., positive evaluations), the storage unit 13 may store the display image of the interior space corresponding to such evaluations as the display image of the interior space to be displayed on the screen on the user terminal 20 when the user starts operations again in the future.

[0062] With this configuration, user evaluations are fed back, making it easier to select interior spaces that match the user's image (in particular, it becomes possible to use images of interior spaces with negative evaluations as noise).

[0063] Furthermore, with this configuration, since the selection of an interior space is rarely decided in one go, the display images of interior spaces that have been highly rated by the user are redisplayed on the screen shown on the user terminal 20 when the user starts operations again, and used as a base design for the user to consider when selecting an interior space, making it easier for the user to select an interior space that matches their image.

[0064] Furthermore, the system may be configured so that the user can select a desired sample book before or after inputting an image of an interior space that matches their image on the screen displayed on the user terminal 20. Here, the system may be configured so that the user can select multiple sample books on such a screen, or can select sample books to exclude. Note that the user may include house builders and other similar entities.

[0065] Furthermore, the system may be configured so that the user can change each interior item (e.g., flooring, wallpaper, etc.) on a screen that includes an image of the interior space displayed on the user terminal 20 to an interior item having desired functionality (e.g., stain-resistant, mold-resistant, etc.) and texture. For example, the system may be configured so that the user can change to an interior item having various functionalities, textures, patterns, and colors by entering any keyword (free word) or product number of their choice on such a screen, or by selecting keywords that indicate the characteristics of the interior item (e.g., functionality, texture, pattern, color, etc.).

[0066] In such cases, the acquisition unit 11 acquires information related to functionality, texture, pattern, color, etc., selected by the user via the user terminal 20. The storage unit 12 stores the atmosphere information of the interior space, the display image of the interior space, and the functionality, texture, pattern, color, etc., in association with each other. The transmission unit 15 acquires the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12 and the display image of the interior space, which is stored in association with the functionality, texture, pattern, color, etc., selected by the user, from the storage unit 13 and transmits it to the user terminal 20.

[0067] In such a case, the generation unit 14 may be configured to change the interior items in the display image of the interior space using the AI ​​recommendation function, in accordance with the user input content acquired by the acquisition unit 11.

[0068] Basically, the generation unit 14 selects interior items within the displayed image of the interior space from a sample book pre-selected by the user. However, for accent interior items only, it can select interior items suggested by the AI ​​recommendation function based on the interior item data from all sample books.

[0069] Here, the AI ​​recommendation function may suggest interior goods with similar designs (interior goods with similar colors but different patterns, or interior goods with similar patterns but different colors), or interior goods with similar designs that have specific functionality or textures. Here, the AI ​​recommendation function selects the interior goods to suggest by using machine learning.

[0070] This configuration makes it easier for users to make decisions regarding the selection of interior furnishings.

[0071] The generation unit 14 may acquire or generate display images of the interior spaces of multiple rooms.

[0072] An example of the operation of the interior space simulation device 1 according to this embodiment will be described below with reference to Figure 3.

[0073] As shown in Figure 3, in step S101, the user uses the user terminal 20 to input answers to the questionnaire and select a sample book containing the desired interior items. The user then transmits the questionnaire results and selected sample book information to the interior space simulation device 1, whereupon the acquisition unit 11 acquires the questionnaire results and selected sample book information.

[0074] In step S102, the atmosphere information acquisition unit 12 acquires atmosphere information of the interior space from the learning model described above by inputting a combination of keywords included in the questionnaire results acquired by the acquisition unit 11.

[0075] In step S103, the generation unit 14 retrieves from the storage unit 13 a display image of the interior space that is stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit 12 and the selection sample book information acquired by the acquisition unit 11.

[0076] In step S104, the transmission unit 15 transmits the display image of the interior space to the user terminal 20. As a result, the user terminal 20 displays the display image of the interior space received from the interior space simulation device 1.

[0077] According to the interior space simulation device 1 of this embodiment, by simply performing machine learning using images of the interior space and information about the atmosphere of the interior space as training data, it is possible to propose an interior space with an atmosphere that matches the user's image.

[0078] Furthermore, according to the interior space simulation device 1 of this embodiment, it is possible to flexibly include interior items that the user wishes to propose to the user in the display image of an interior space with an atmosphere that matches the user's image.

[0079] Although the present invention has been described in detail using the embodiments described above, it will be clear to those skilled in the art that the present invention is not limited to the embodiments described herein. The present invention can be implemented in modified and altered forms without departing from the spirit and scope of the invention as defined by the claims. Therefore, the description herein is for illustrative purposes only and is not intended to be restrictive in any way to the present invention. [Explanation of symbols]

[0080] 1…Interior space simulation device 11…Acquisition part 12... Atmosphere Information Acquisition Department 13...Storage section 14...Generation section 15...Transmitter 20…User terminal

Claims

1. An acquisition unit that acquires survey results entered by the user terminal, An atmosphere information acquisition unit obtains the atmosphere information of the interior space from a learning model, which has been trained using keyword combinations and atmosphere information of the interior space including interior items as training data, by inputting keyword combinations included in the survey results into the learning model. A storage unit that stores information about the atmosphere of the interior space, an image for displaying the interior space, and identification information of a sample book in which the interior items are listed, in association with each other. A generation unit that acquires a display image of the interior space from the storage unit, The system includes a transmitting unit that transmits the display image of the interior space acquired by the generating unit to the user terminal as a display image on the user terminal, Interior space simulation device, wherein when the acquisition unit acquires selected sample book information indicating identification information of a sample book selected by the user from the user terminal, the generation unit acquires a display image of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit and the selected sample book information acquired by the acquisition unit from the storage unit.

2. An acquisition unit that acquires survey results entered by the user terminal, An atmosphere information acquisition unit obtains the atmosphere information of the interior space from a learning model, which has been trained using keyword combinations and atmosphere information of the interior space including interior items as training data, by inputting keyword combinations included in the survey results into the learning model. A storage unit that stores information about the atmosphere of the interior space, an image for displaying the interior space, and identification information of a sample book in which the interior items are listed, in association with each other. A generation unit that acquires a display image of the interior space from the storage unit, The system includes a transmitting unit that transmits the display image of the interior space acquired by the generating unit to the user terminal as a display image on the user terminal, Interior space simulation device, in which, when the acquisition unit acquires excluded sample book information from the user terminal, indicating identification information of sample books excluded by the user, the generation unit acquires from the storage unit a display image of the interior space that is not associated with the excluded sample book information, among the display images of the interior space stored in association with the atmosphere information of the interior space acquired by the atmosphere information acquisition unit, a display image of the interior space that is not associated with the excluded sample book information.

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