Space projection storyboard system based on artificial intelligence model

The AI-driven spatial projection storyboard system addresses the limitations of traditional 3D content production by providing real-time, user-customized, and interactive 3D content across physical and digital platforms, reducing costs and enhancing immersion.

KR1020260113504APending Publication Date: 2026-07-21DAB CO CO LTD
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Patent Information

Authority / Receiving Office
KR · KR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-01-13
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing 3D content production methods are complex, costly, and inflexible, limiting customization and interactivity, and fail to integrate physical and digital environments, thus restricting personalized and immersive experiences in exhibitions and advertising.

Method used

A spatial projection storyboard system using AI to analyze audience data in real-time, generating high-resolution 3D content dynamically, and optimizing elements like textures, lighting, and animations across physical and digital platforms.

Benefits of technology

Enables cost-effective, user-customized, and immersive experiences by reducing production time and costs by 30-50%, enhancing interaction, and optimizing content placement and delivery.

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Abstract

The present invention relates to a spatial projection storyboard providing system based on an artificial intelligence model, comprising a data acquisition unit for collecting visitor or user data, wherein the data acquisition unit collects visitor age, gender, and eye-tracking data using computer vision technology, analyzes visitor facial photographs in real time to generate basic data necessary for the production of suitable content, and comprises a content generation unit for generating dynamically changing content based on visitor or user data, wherein the content generation unit generates a 3D projection storyboard based on visitor data using Generative AI, and comprises an AI-based rendering engine capable of rapidly generating high-resolution 3D content, and comprises a display control unit for transmitting and outputting the generated 3D projection storyboard to a physical display and a digital device, wherein the display control unit provides content in a physical exhibition environment by linking with a hologram and 3D projection device, provides user-customized content in a digital exhibition environment by integrating with Augmented Reality (AR) and Virtual Reality (VR) devices, and comprises a content optimization unit for providing optimized dynamic content by analyzing the generated 3D content and visitor reactions in real time, and wherein the content optimization unit analyzes visitor reaction data to the details of the content It is characterized by including an analysis unit that automatically adjusts elements (textures, lighting, animations, etc.), updates content based on real-time feedback from visitors, and evaluates the efficiency of content based on user behavior and data patterns within the space.
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Description

Technology Field

[0001] The present invention relates to a spatial projection storyboard providing system based on an artificial intelligence model. Background Technology

[0002] The convergence of 3D and artificial intelligence technologies is gaining increasing attention in the modern exhibition and advertising industries to enhance the immersion of audiovisual experiences. In particular, 3D content is establishing itself as a key tool for attracting audience attention, providing a sense of immersion, and effectively conveying brands or messages. However, existing 3D content production methods have limitations due to complex workflows and high time and cost consumption. Consequently, the creation of customized content is restricted, and it is difficult to modify or optimize content based on real-time audience reactions.

[0003] Furthermore, existing technologies fail to provide integrated support for physical display environments (e.g., holograms, 3D projection) and digital environments (e.g., VR / AR), and because content is provided in a fixed form, it is difficult to provide dynamic content that reflects the characteristics of the audience. Consequently, inefficiencies in the content production process and limited interactivity act as obstacles to providing personalized experiences in the exhibition and advertising industries. The problem to be solved

[0004] The present invention aims to solve the aforementioned problems and enables new innovation in the exhibition and advertising industries through the production of customized 3D content based on audience data and real-time optimization. By analyzing information such as audience age, gender, and gaze data in real time to generate suitable content, and providing this content on both physical display environments and digital devices, it realizes a user-customized immersive experience.

[0005] By utilizing an AI-based rendering engine, high-resolution content can be rapidly generated, and production time and costs can be reduced by shortening existing complex workflows. Cost savings of approximately 30–50% compared to traditional 3D content creation methods can be expected, and work efficiency is maximized,

[0006] It collects real-time audience reaction data and dynamically adjusts detailed elements such as content textures, lighting, and animations based on this data to enhance immersion and user satisfaction. This real-time optimization feature differentiates itself from static content delivery methods, strengthens interaction with the audience, and

[0007] It enhances flexibility in content delivery by providing integrated support for physical and digital environments, and enables the utilization of content not only on physical devices such as holograms and 3D projections but also on AR / VR devices, making it applicable in various exhibition environments.

[0008] The goal is to provide a spatial projection storyboard system based on an AI model that continuously analyzes audience response data and behavioral patterns to evaluate efficiency and optimize content placement and projection strategies. This data-driven approach increases resource utilization, enhances the quality of the exhibition environment, and offers a richer experience to the audience. means of solving the problem

[0009] A spatial projection storyboard providing system based on an artificial intelligence model according to an embodiment of the present invention comprises a data acquisition unit for collecting visitor or user data, wherein the data acquisition unit collects visitor age, gender, and eye-tracking data using computer vision technology, analyzes a visitor's face photograph in real time to generate basic data necessary for producing suitable content, and includes a content generation unit for generating dynamically changing content based on visitor or user data, wherein the content generation unit generates a 3D projection storyboard based on visitor data using Generative AI, and includes an AI-based rendering engine capable of rapidly generating high-resolution 3D content, and includes a display control unit for transmitting and outputting the generated 3D projection storyboard to a physical display and a digital device, wherein the display control unit provides content in a physical exhibition environment by linking with a hologram and a 3D projection device, provides user-customized content in a digital exhibition environment by integrating with Augmented Reality (AR) and Virtual Reality (VR) devices, and includes a content optimization unit for providing optimized dynamic content by analyzing the generated 3D content and the visitor's reaction in real time, and wherein the content optimization unit analyzes the visitor's reaction data It is characterized by including an analysis unit that automatically adjusts detailed elements of the content (textures, lighting, animations, etc.), updates the content based on real-time feedback from visitors, and evaluates the efficiency of the content based on user behavior and data patterns within the space. Effects of the invention

[0010] It enables new innovation in the exhibition and advertising industries through the creation of customized 3D content based on audience data and real-time optimization. By analyzing information such as audience age, gender, and gaze data in real time to generate suitable content, and delivering it on both physical display environments and digital devices, it realizes a user-customized immersive experience,

[0011] By utilizing an AI-based rendering engine, high-resolution content can be rapidly generated, and production time and costs can be reduced by shortening existing complex workflows. Cost savings of approximately 30–50% compared to traditional 3D content creation methods can be expected, and work efficiency is maximized,

[0012] It collects real-time audience reaction data and dynamically adjusts detailed elements such as content textures, lighting, and animations based on this data to enhance immersion and user satisfaction. This real-time optimization feature differentiates itself from static content delivery methods, strengthens interaction with the audience, and

[0013] It enhances flexibility in content delivery by providing integrated support for physical and digital environments, and enables the utilization of content not only on physical devices such as holograms and 3D projections but also on AR / VR devices, making it applicable in various exhibition environments.

[0014] By continuously analyzing audience response data and behavioral patterns to evaluate efficiency and optimize content placement and projection strategies, this data-driven approach can provide a spatial projection storyboard system based on an artificial intelligence model that increases resource utilization, enhances the quality of the exhibition environment, and offers a richer experience to the audience. Brief explanation of the drawing

[0015] FIG. 1 is a diagram illustrating the schematic configuration of a spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention. Specific details for implementing the invention

[0016] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the drawings, identical reference numbers or symbols refer to components that perform substantially the same function, and the size of each component in the drawings may be exaggerated for clarity and convenience of explanation. However, the technical concept of the present invention and its core components and operations are not limited only to the components or operations described in the following embodiments. In describing the present invention, if it is determined that a detailed description of known technologies or components related to the present invention may unnecessarily obscure the essence of the present invention, such detailed description will be omitted.

[0017] In embodiments of the present invention, terms including ordinal numbers, such as first, second, etc., are used solely for the purpose of distinguishing one component from another, and singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, in embodiments of the present invention, terms such as 'composed of,' 'include,' 'have,' etc., should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Additionally, in embodiments of the present invention, 'module' or 'part' performs at least one function or operation and may be implemented in hardware or software, or as a combination of hardware and software, or may be integrated into at least one module and implemented as at least one processor. Furthermore, in embodiments of the present invention, 'at least one' among a plurality of elements refers not only to all of the plurality of elements but also to each individual element excluding the remainder or all combinations thereof. Additionally, "configured to" may be used interchangeably with, depending on the context, for example, "suitable for," "having the capacity to," "designed to," "adapted to," "made to," or "capable of." "Configured to" does not necessarily mean that it is "specifically designed to" in hardware. Instead, in some situations, the expression "device configured to" may mean that the device is "capable of" doing so in conjunction with other devices or components.For example, the phrase “a processor configured (or set) to perform A, B, and C” may mean a dedicated processor for performing said operations (e.g., an embedded processor), or a generic-purpose processor (e.g., a CPU or an application processor) capable of performing said operations by executing one or more software programs stored in a memory device.

[0018] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. This description is intended to be detailed enough for a person skilled in the art to easily practice the invention, and it should be noted that the technical scope and concept of the present invention are not limited thereby.

[0019] FIG. 1 is a diagram illustrating the schematic configuration of a spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention.

[0020] Referring to FIG. 1, a spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes a data acquisition unit that collects viewer or user data, wherein the data acquisition unit collects age, gender, and eye tracking data of the viewer using computer vision technology and analyzes the viewer's face photo in real time to generate basic data necessary for producing suitable content.

[0021] A spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes a data acquisition unit that collects visitor or user data. The data acquisition unit collects visitor age, gender, and eye-tracking data using computer vision technology and performs the role of analyzing the characteristics of individual visitors through this. The visitor's age is estimated by analyzing characteristic facial structures according to age using face recognition technology, and gender is determined based on visual information such as face shape, skin tone, and the proportions of facial features.

[0022] Eye-tracking data is acquired through technology that tracks the direction of visitors' gaze and head movements. This process allows for real-time analysis of how long visitors have visually focused on specific content and where their attention is directed. Eye tracking is performed using high-resolution cameras and eye movement tracking algorithms, and this data is utilized to quantitatively evaluate visitors' preferences and reactions.

[0023] In addition, the data acquisition unit analyzes visitors' facial photos in real time to generate basic data necessary for producing suitable content. Facial photo analysis utilizes deep learning-based image processing technology to extract facial features and matches them with content stored in a database to recommend or generate suitable content. For example, if a visitor is identified as belonging to a young age group, trendy style content is provided, while for middle-aged or older visitors, classic or stable content is recommended.

[0024] The data acquisition unit performs this process in real time, and the collected data is stored in a cloud-based database. This enables the parallel processing of data collected from multiple visitors and allows for the execution of complex data analysis and content creation tasks without delay. Each component of the data acquisition unit is designed based on a high-performance processor to enable large-scale data processing and real-time response. For example, the deep learning model used in the facial photo analysis process provides high-accuracy analysis results based on a large-scale facial dataset trained in advance, and these analysis results are immediately transmitted to the content creation unit to be utilized for the creation of optimal 3D content.

[0025] As such, the data acquisition unit of the present invention accurately and rapidly collects and analyzes the visual data of visitors to provide basic data for producing content suitable for the characteristics and preferences of visitors in real time. This configuration is designed to enhance interaction between visitors and content and to maximize the immersive experience. Through this, the system of the present invention overcomes the limitations of existing content production methods and presents a new paradigm for providing user-customized content.

[0026] A spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes a content generation unit that generates a 3D projection storyboard based on viewer data using generative artificial intelligence (Generative AI) and includes an AI-based rendering engine capable of rapidly generating high-resolution 3D content.

[0027] In a spatial projection storyboard provision system based on an artificial intelligence model according to an embodiment of the present invention, the content generation unit generates a 3D projection storyboard based on visitor data by utilizing Generative AI. The Generative AI receives data such as age, gender, and eye-tracking data obtained from visitors and designs suitable 3D content based on this. For example, it operates by generating 3D content that includes modern and vivid graphic elements when the visitor is young, and generating content with a calmer and more stable design for middle-aged visitors.

[0028] The generated 3D projection storyboard is designed not merely to reflect visitor data, but also to take into account the characteristics of the space and the environmental conditions of the projection device. To this end, generative AI combines the structure, textures, lighting effects, and animations of the 3D model in real time based on visitor data to output a high-quality storyboard. For example, in exhibition spaces with many visitors, it emphasizes visually striking and dazzling lighting, while in confined spaces, it minimizes lighting and highlights delicate graphic details to enhance immersion.

[0029] The content creation unit includes an AI-based rendering engine capable of rapidly generating high-resolution 3D content. This rendering engine quickly visualizes 3D models designed by generative AI and is optimized for outputting high-quality content in real time. By utilizing deep learning-based image processing algorithms and high-performance graphics processors, the rendering engine provides high processing speeds by parallelizing large-scale data and complex graphic elements. For example, in the event of a large number of visitors, multiple pieces of content tailored to the characteristics of each visitor can be generated and output simultaneously, with the process performed in real time without any loss of rendering quality.

[0030] In addition, the rendering engine generates optimized 3D content by taking into account the lighting conditions of the space, the resolution of the projection device, and the position and size of the display device. For example, in a specific exhibition environment affected by natural light, the rendering engine ensures optimal visibility by adjusting the brightness and color of the content. This technology enables visitors to experience the content more clearly and immersively.

[0031] Generative AI and a rendering engine interact to provide content that changes in real-time based on visitor data. Designed to update content immediately in response to visitor reactions or environmental conditions, this enables the delivery of dynamic content that is differentiated from static content production methods. This configuration maximizes immersion in the exhibition environment and enhances the quality of the user experience.

[0032] The content generation unit of the present invention presents new possibilities for real-time customized content production in the exhibition and advertising industries through a technical configuration that rapidly generates an advanced 3D projection storyboard based on visitor data and outputs it in high resolution. This enables the provision of content that reflects the individual characteristics of visitors and can further enhance user experience satisfaction.

[0033] A spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes a display control unit that transmits and outputs the generated 3D projection storyboard to a physical display and a digital device, and the display control unit provides content in a physical exhibition environment by linking with a hologram and a 3D projection device, and provides user-customized content in a digital exhibition environment by integrating with augmented reality (AR) and virtual reality (VR) devices.

[0034] In a spatial projection storyboard providing system based on an artificial intelligence model according to an embodiment of the present invention, a display control unit performs the role of transmitting and outputting a generated 3D projection storyboard to a physical display device and a digital device. The display control unit is linked with a holographic display and a 3D projection device to provide content in a physical exhibition environment. These devices project content in real time within a physical space and can dynamically adjust the angle and size of the content according to the location and viewing direction of the audience. For example, in a large exhibition hall, a 3D projection device projects large-scale content with high resolution and optimizes the projection angle within the space so that the audience can observe the hologram from various viewpoints.

[0035] Holographic displays provide visitors with an experience of physically interacting with content within the space, and the display control unit collects this interaction data in real time and reflects it in the content. For example, if a visitor observes content for an extended period at a specific location or points to a specific spot with a hand gesture, the display control unit detects this and updates the content to zoom in on that point or display detailed information.

[0036] The display control unit is integrated with augmented reality (AR) and virtual reality (VR) devices to provide the same level of immersive experience in digital environments. When using an AR device, the display control unit precisely aligns the physical space with virtual content, allowing users to naturally experience virtual objects within the real space. For example, when a visitor wearing AR glasses looks at a specific exhibit, the display control unit enriches the viewing experience by providing the exhibit's historical background or additional information as 3D animations. When using a VR device, the display control unit provides the user with a complete virtual environment and is designed so that the content responds immediately when the user moves or interacts within the virtual space.

[0037] The display control unit includes a cloud-based data processing and synchronization system for seamless interoperability between physical and digital display devices. This ensures that no delays or inconsistencies occur even when content is output simultaneously from multiple devices, and allows visitors to experience content by moving between the physical and digital environments. For example, at a large exhibition, specific content can be projected into a physical space via 3D projection, while the same content can be provided to remote visitors through VR devices.

[0038] The display control unit automatically adjusts the resolution, brightness, and color correction of the display device to optimize the output quality of the content. This is designed to provide content of consistent quality even when lighting conditions in the physical environment fluctuate or the settings of the digital device differ. For example, when 3D projection is used indoors, it operates by lowering the brightness to account for the lighting, and when used outdoors, it increases the contrast to minimize the influence of sunlight.

[0039] The display control unit of the present invention effectively provides 3D content generated from both a physical display device and a digital device, thereby enabling visitors to enjoy a consistent immersive experience in both the exhibition space and the digital environment. This technical configuration breaks down the boundaries between the physical and digital environments and presents a new standard for providing user-customized content.

[0040] A spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes a content optimization unit that provides optimized dynamic content by analyzing the generated 3D content and the audience's reaction in real time, and the content optimization unit analyzes the audience's reaction data to automatically adjust detailed elements of the content (texture, lighting, animation, etc.) and updates the content according to the audience's real-time feedback.

[0041] In a spatial projection storyboard providing system based on an artificial intelligence model according to an embodiment of the present invention, the content optimization unit performs the role of providing optimized dynamic content by analyzing the generated 3D content and the audience's reactions in real time. The content optimization unit collects and analyzes audience reaction data and automatically adjusts detailed elements such as texture, lighting, and animation of the content. The audience reaction data is collected using computer vision technologies such as eye tracking, facial expression recognition, and gesture detection, thereby evaluating the audience's interest and immersion in real time. For example, if an audience's gaze lingers on a specific part of 3D content for a long time, the texture and lighting of that part are adjusted to be more distinct, or animation effects are added to further enhance the audience's concentration.

[0042] The Content Optimization Unit dynamically updates content based on real-time feedback from visitors. When a visitor selects a specific item or gives instructions via hand gestures on an interactive display, the unit immediately reflects this to generate new content or modify existing content. For example, if a visitor at a science exhibition attempts to zoom in on a 3D model of a specific molecule, the Content Optimization Unit highlights the molecule's detailed structure and adds animated molecular movements to provide more in-depth information.

[0043] Texture adjustments are performed in real-time to maximize visitor immersion. For example, by analyzing visitor response data, if darker lighting is preferred, the content optimization team changes the background texture to a softer, darker tone to reduce visual fatigue and enhance immersion. Conversely, when visitors view content in a bright space, textures and lighting are adjusted to be brighter to improve visibility.

[0044] Lighting adjustment is utilized to emphasize the central elements of content or to set the atmosphere. If specific content fails to attract the visitor's attention, the Content Optimization Department applies strong lighting to that area or adjusts the contrast to guide the gaze. For example, in museum exhibitions, lighting is adjusted to highlight the detailed features of artifacts, helping visitors recognize them more easily.

[0045] Animation adjustments bring content to life based on audience interaction. If a visitor lingers in a specific location for an extended period or gestures in a particular direction, the content optimization unit provides responsive content by adding new animations at that point or adjusting the speed and direction of existing animations. For example, if a visitor viewing advertising content on a large LED screen focuses on a specific area, the animation speed of that area can be increased or emphasis effects added to further attract their attention.

[0046] The Content Optimization Department also supports long-term content improvement by utilizing visitor response data as training data. By learning patterns of consistently positive visitor reactions to content, it updates algorithms so that they can be automatically applied in similar situations in the future. This enables the continuous enhancement of content quality and visitor satisfaction.

[0047] As such, the content optimization unit of the present invention responds immediately to visitor reactions through real-time data analysis and automatic adjustment, providing an immersive content experience. Through this, the content is optimized for visitor expectations and reactions, realizing a dynamic and interactive content environment that is differentiated from static content delivery methods. This configuration contributes to maximizing visitor interest and satisfaction in exhibition and advertising environments.

[0048] A spatial projection storyboard providing system based on an artificial intelligence model according to one embodiment of the present invention includes an analysis unit that evaluates the efficiency of content based on user behavior and data patterns within the space. The analysis unit collects user location, movement path, gaze direction, dwell time, and interaction data in real time and analyzes them to quantitatively evaluate the effectiveness of the content and the level of immersion of the audience. This data is obtained through various input devices installed in the space, such as high-resolution cameras, motion detection sensors, and eye-tracking devices.

[0049] The analytics department evaluates the suitability of the location and components of specific content based on visitor behavior data. For example, if visitors linger for a long time in front of specific content or repeatedly approach it within an exhibition space, the analytics department determines that the content is receiving high interest and suggests maintaining or further enhancing its placement and composition. Conversely, if visitors pass by specific content or stay for only a short time, the analytics department assesses this as low efficiency and may suggest improvements such as rearranging the content or modifying its visual elements.

[0050] Data pattern analysis captures changes in user behavior over time and space, contributing to the dynamic optimization of content. For example, if visitor traffic increases during a specific time period, the analytics department can adjust placement strategies to focus the exhibition on content that attracts the highest interest during that time. Furthermore, by utilizing visitor movement path data, exhibition efficiency can be maximized by placing high-attention content in areas where the most people pass through.

[0051] The analysis department expresses the efficiency of content as quantified indicators based on collected data. For example, efficiency indicators are calculated by weighting factors such as the average visitor dwell time, the rate of eye focus on specific content, and the frequency of interaction.

[0052] Efficiency metrics are used to identify directions for improving the content delivery process. For example, if the efficiency metric of specific content is lower than that of other content, the analytics department may suggest changing the content's location or adding visual or interactive elements. This approach contributes to improving content so that it better meets the expectations and needs of the audience.

[0053] The analytics department also supports the continuous improvement of content by learning long-term data patterns. For example, it learns content configurations and layouts that have consistently demonstrated high efficiency at specific exhibitions, enabling the replication of similar success stories in future events. This learning capability continuously enhances the quality of exhibition and advertising environments through data-driven decision-making.

[0054] The analysis unit of the present invention evaluates the efficiency of content based on visitor behavior data and enables the real-time optimization of the exhibition environment. Through this, content is dynamically adjusted to meet the needs and interests of visitors, providing a technical foundation to maximize the effectiveness of exhibitions and advertisements. This configuration improves the quality of the user experience while optimizing the resource utilization of the exhibition space.

Claims

Claim 1 A spatial projection storyboard provision system based on an artificial intelligence model comprises a data acquisition unit that collects visitor or user data, wherein the data acquisition unit collects visitor age, gender, and eye-tracking data using computer vision technology, analyzes visitor facial photographs in real time to generate basic data necessary for the production of suitable content, and includes a content generation unit that generates dynamically changing content based on visitor or user data, wherein the content generation unit generates a 3D projection storyboard based on visitor data using Generative AI, includes an AI-based rendering engine capable of rapidly generating high-resolution 3D content, and includes a display control unit that transmits and outputs the generated 3D projection storyboard to a physical display and a digital device, wherein the display control unit provides content in a physical exhibition environment by linking with a hologram and 3D projection device, provides user-customized content in a digital exhibition environment by integrating with Augmented Reality (AR) and Virtual Reality (VR) devices, and includes a content optimization unit that provides optimized dynamic content by analyzing the generated 3D content and visitor reactions in real time, and wherein the content optimization unit analyzes visitor reaction data to the content A space projection storyboard provision system based on an artificial intelligence model, characterized by including an analysis unit that automatically adjusts detailed elements (textures, lighting, animation, etc.), updates content based on real-time feedback from viewers, and evaluates the efficiency of content based on user behavior and data patterns within the space.