Interior space simulation device
The interior space simulation device simplifies the recommendation process by using a learning model to associate images with atmosphere information, enabling efficient display of matching interior spaces and items without complex machine learning.
Patent Information
- Application Number
- JP2024030494
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-02-29
- Publication Date
- 2025-09-10
- Estimated Expiration
- 2044-02-29
AI Technical Summary
Existing interior space simulation devices require complex machine learning, which complicates their operation.
An interior space simulation device that acquires images of interior spaces and atmosphere information using a learning model trained with machine learning, associates this information with display images, and transmits matching interior spaces to user terminals without requiring further complex machine learning.
Enables recommendation of interior spaces that match user images efficiently, allowing for flexible inclusion of desired interior items without the need for complex machine learning.
Smart Images

Figure 2025132732000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an interior space simulation device. [Background technology]
[0002] BACKGROUND ART Conventionally, there is known a device that assists a user in selecting interior goods (see, for example, Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent Publication No. 2021-189618 Summary of the Invention [Problem to be solved by the invention]
[0004] However, the device described in Patent Document 1 has a problem in that it requires complex machine learning.
[0005] Therefore, the present disclosure has been made in consideration of the above-mentioned problems, and aims to provide an interior space simulation device that can recommend an interior space including interior items that match the user's image without using complex machine learning. [Means for solving the problem]
[0006] A first feature of the present disclosure is summarized as an interior space simulation device comprising: an image acquisition unit that acquires an image of an interior space including interior items from a user terminal; an atmosphere information acquisition unit that acquires atmosphere information of the interior space from a learning model that has been machine-trained using the image of the interior space and atmosphere information of the interior space as training data, by inputting the image of the interior space acquired by the image acquisition unit into the learning model; a memory unit that associates and stores the atmosphere information of the interior space with a display image of the interior space; and a transmission unit that acquires from the memory unit the 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, and transmits the display image to the user terminal. [Effects of the Invention]
[0007] According to the present disclosure, it is possible to provide an interior space simulation device that can recommend an interior space including interior items that match a user's image without using complex machine learning. [Brief explanation of the drawings]
[0008] [Figure 1] FIG. 1 is a diagram showing an example of functional blocks of an interior space simulation device 1 according to an embodiment. [Figure 2] FIG. 2 is a diagram showing an example of an image of an interior space input to an 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] FIG. 3 is a flowchart showing an example of the operation of the interior space simulation device 1 according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0009] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the following description of the drawings, identical or similar parts are designated by identical or similar reference numerals. However, it should be noted that the drawings are schematic, and the dimensional ratios and the like may differ from those of the actual parts. Therefore, specific dimensions and the like should be determined with reference to the following description. Furthermore, parts in the drawings may have different dimensional relationships and ratios. In this specification and the drawings, elements having substantially the same functions and configurations are designated by the same reference numerals to avoid redundant description, and elements not directly related to the present invention are not shown.
[0010] (First embodiment) An interior space simulation device 1 according to a first embodiment of the present invention will now be described with reference to Figures 1 to 3. Figure 1 is a diagram showing an example of functional blocks of the interior space simulation device 1 according to this embodiment, Figure 2(a) is a diagram showing an example of an image of an interior space 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 the 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.
[0011] The interior space simulation device 1 according to this embodiment is a device that can display, on a predetermined user terminal 20, a display image of an interior space that matches the user's image.
[0012] The interior space simulation device 1 and the user terminal 20 may be connected via a wireless network or via a wired network.
[0013] For example, a user may use a user terminal 20 installed in a showroom or the like to display an image of an interior space that matches the user's image, or may use the user's own user terminal 20 (e.g., a smartphone, PC, etc.) to display an image of an interior space that matches the user's image.
[0014] Specifically, the interior space simulation device 1 includes an image acquisition unit 11, an atmosphere information acquisition unit 12, a storage unit 13, and a transmission unit .
[0015] The image acquisition unit 11 acquires, from the user terminal 20, an image of the interior space including the interior goods.
[0016] An image of such an interior space is input by the user to the user terminal 20. Fig. 2(a) shows an example of an image of such an interior space.
[0017] For example, interior goods include decorative sheets, decorative films, flooring materials, tiles, carpets, cushion flooring, PVC long sheets, wallpaper, ceiling materials, upholstery, cushions, multi-covers, rugs, curtains, roller blinds, and the like.
[0018] The interior goods may also include various furniture products, various home appliances, lighting fixtures, paintings, and other decorative items.
[0019] The atmosphere information acquisition unit 12 performs machine learning using the image of the interior space and the atmosphere information of the interior space as training data, thereby creating a learning model that determines the atmosphere information of the interior space from the input image of the interior space.
[0020] 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.
[0021] For example, the atmosphere information is information indicating an atmosphere such as "tropical style," "European style," "Asian style," "Nordic style," "light colors," "dark colors," "bright atmosphere," "calm atmosphere," "dirt is not noticeable," etc.
[0022] Furthermore, the atmosphere information acquisition unit 12 receives the image of the interior space acquired by the image acquisition unit 11 as input, and acquires atmosphere information of the interior space from the learning model described above.
[0023] The storage unit 13 stores the atmosphere information of the interior space and a display image of the interior space in association with each other. Fig. 2(b) shows an example of such a display image of the interior space.
[0024] For example, a display image of an interior space is an image generated by replacing interior items in a prepared image of a room with interior items that the user wishes to suggest to the user.
[0025] Alternatively, the display image of the interior space may be an image generated by replacing the interior items in the image of the interior space input from the user terminal 20 with interior items that the user wishes to suggest to the user.
[0026] The transmitter 14 may change the interior items included in the display image of the interior space in response to a request from the user terminal 20 (see FIGS. 2(c) and 2(d)). Here, such a request may include information related to the interior items in which the user is interested (e.g., product category, image, product information, information on the sample book in which the product is featured, etc.).
[0027] The transmitting unit 14 obtains 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 obtained by the atmosphere information obtaining unit 12, and transmits the image to the user terminal 20.
[0028] An example of the operation of the interior space simulation device 1 according to this embodiment will be described below with reference to FIG.
[0029] As shown in FIG. 3, in step S101, the user inputs an image of an interior space that matches the user's image into the user terminal 20 and transmits the image of the interior space to the interior space simulation device 1, and the image acquisition unit 11 acquires the image of the interior space.
[0030] In step S102, the atmosphere information acquisition unit 12 receives the image of the interior space acquired by the image acquisition unit 11 as input, and acquires atmosphere information of the interior space from the learning model described above.
[0031] In step S103 , the transmitting unit 14 obtains 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 obtained by the atmosphere information obtaining unit 12 .
[0032] In step S104, the transmission unit 14 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.
[0033] According to the interior space simulation device 1 of this embodiment, it is possible to propose an interior space with an atmosphere that matches the user's image simply by performing machine learning using images of the interior space and atmosphere information of the interior space as training data.
[0034] Furthermore, the interior space simulation device 1 according to this embodiment can flexibly include interior items that the user wishes to suggest to the user in a display image of an interior space that matches the user's image.
[0035] Although the present invention has been described in detail using the above-described embodiments, it is 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 present invention as defined by the claims. Therefore, the description in this specification is intended to be illustrative and explanatory and does not have any limiting meaning on the present invention. [Explanation of symbols]
[0036] 1. Interior space simulation device 11...Image acquisition unit 12...Atmosphere information acquisition unit 13...Storage section 14...Transmitter 20...User terminal
Claims
1. an image acquisition unit that acquires an image of an interior space including interior items from a user terminal; an atmosphere information acquisition unit that acquires atmosphere information of the interior space from a learning model that has been machine-trained using an image of the interior space and atmosphere information of the interior space as training data, by inputting the image of the interior space acquired by the image acquisition unit into the learning model; 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; an interior space simulation device comprising: a transmission unit that acquires from the storage unit 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, and transmits the image to the user terminal.
2. The interior space simulation device according to claim 1 , wherein the transmission unit changes the interior items included in the display image of the interior space in response to a request from the user terminal.
Citation Information
Patent Citations
Information processing device and information processing program
JP2020087224A
Information processing device and program
JP2020091662A
Spatial coordination assisting device and spatial coordination assisting method
JP2020205000A
Method for interior service based on artificial intelligence and apparatus for performing the method
KR102364533B1
Interior support system
JP2021189618A