25 results about "Interactive 3d" patented technology

The invention discloses a material database system with enhanced artificial intelligence. The material database system comprises an interactive user interface module, a data management and service module, a visual processing module and an AI analysis and intelligent dialogue module. Structured and unstructured material data are managed in a centralized manner through a unified database and cloud storage, and a standardized data center is constructed; by integrating a chemical structure rendering library and a 3D graphic engine, real-time rendering from a CIF file to an interactive 3D model is realized, and a dynamically generated XRD spectrogram is displayed through an interactive chart library, so that the interpretability of data is greatly improved; by introducing an AI application development framework and an LLM, the system is endowed with intelligent analysis ability exceeding simple data retrieval, and professional material interpretation can be provided; by integrating the RAG system, a traditional search mode is upgraded into an intelligent dialogue mode, so that a user can explore material data like a dialogue with an expert.

Systems and methods are provided herein for creating interactive 3D content for XR devices using a single camera. This may be accomplished by receiving a first piece of content comprising a plurality of segments, wherein the first piece of content is recorded by a first camera. A system may identify a first object within a first segment of the first piece of content and compare the first object with a plurality of 3D models stored in a database. In response to determining that a first 3D model of the plurality of 3D models corresponds to the first object, the system then generates a second piece of content, by combining the first 3D model with the first piece of content. The system also generates an index associated with the second piece of content.

The invention relates to a computer-implemented method for training a driver in a vehicle, comprising the steps of: a) acquiring environmental and driving behavior data using vehicle-integrated sensors and a camera during a journey; b) analyzing the acquired data using an AI model to evaluate the driver's performance and detect a driving error in a specific driving situation. According to the invention, the method is further characterized by the steps of: c) generating an interactive 3D training scenario that reconstructs the driving situation in which the driving error was detected; d) providing the 3D training scenario for interactive playback and repeated practice on at least one in-vehicle output device; and e) evaluating the driver's execution of the training scenario to generate a performance assessment, the performance assessment being compared with fleet data from other drivers.

Rendering operations associated with an interactive three-dimensional (3D) scene of a location can be selectively performed by at least one of a first computing system or a second computing system. A computing system includes one or more memories to store instructions and one or more processors to execute the instructions to perform operations, the operations including: selecting, based on whether one or more rendering criteria are satisfied, at least one of the first computing system or a second computing system to perform one or more rendering operations with respect to a plurality of visual elements associated with an interactive three-dimensional (3D) scene of a location, to generate a plurality of rendered visual elements; and providing, for presentation via the display device, the interactive 3D scene of the location, based on the plurality of rendered visual elements.

The invention relates to a method for fusing a monitoring video and a 3D virtual scene, and belongs to the technical field of image processing and computer vision. The method comprises the following steps: firstly, constructing a three-dimensional digital scene and completing space calibration of a camera; then, camera offset is detected and corrected through real-time video analysis, and meanwhile, a target in a picture is recognized and tracked; secondly, the 2D pixel coordinates of the target are converted into space coordinates in a 3D scene through inverse projection calculation, and the positioning precision is improved through the multi-view intersection technology; and finally, based on the converted 3D coordinate data, performing fusion rendering on a video picture in a rendering engine, and outputting an interactive three-dimensional scene which can be used for situation awareness and behavior analysis. According to the method, the problems of inaccurate virtual and real space registration, dynamic error accumulation and unnatural rendering in the prior art are effectively solved, and high-precision and dynamic fusion of the monitoring video and the virtual scene is realized.

The invention discloses an intelligent navigation method and system based on NFC near field triggering, and belongs to the technical field of intelligent navigation. The problems that an existing navigation system is tedious in operation, poor in environment adaptability, isolated in information and lack of personalized guidance are solved. The method comprises the following steps: creating an interactive three-dimensional model and a network access address for a plurality of entity guide points, writing the address into an NFC chip, and packaging and deploying; a user touches the carrier through a mobile device, the address is automatically read, and the browser is awakened to load the model; meanwhile, access information is sent to the server, the server records behaviors and dynamically generates a touring progress page, and visited and unvisited point locations are visually displayed. Zero-step triggering, operation simplification and environment robustness enhancement are realized, discrete access points are connected in series to form a coherent touring route, and personalized guidance is supported. The method is suitable for museums, memorial halls and other scenes, and effectively improves the user experience and the cultural transmission effect.

Disclosed herein are embodiments for managing a virtual reality (VR) training exercise via a management server. The management server outputs a graphical dashboard including one or more skill nodes, and selects one or more software agents associated with the skill nodes. The management server provides the software agents to at least one host computing system communicatively coupled to a near-to-eye display device. The near-to-eye display device is configured to display a virtual three dimensional (3D) training environment including a plurality of interactive 3D virtual objects. The software agents are configured to collect VR observables data while the trainee performs actions within the virtual 3D training environment. Based on the VR observables data collected, the management server determines that one or more skills have been demonstrated during the training exercise, and updates the one or more skill nodes to graphically indicate the one or more skills demonstrated by the trainee.

Processes and systems for identifying and mitigating threats to critical assets leverage interactive 3D modeling systems, such as gaming engines, to generate customized interactive 3D critical asset site models that provide interactive visual displays of multiple potential threats, multiple potential mitigation measures, and the effectiveness of the each of the potential threat mitigation features with respect to protecting existing and future critical assets and / or critical asset sites.

Systems and methods for video processing can be provided that generate 3D streaming data via an API. A 3D streaming session can be delivered at a client device with low latency and high throughput capacity. Upon authentication of the client device, a server can be selected to support the session initiated by a packaged 3D streaming engine. Library files can be injected into an executable file of the packaged 3D streaming engine to generate a digital representation of an interactive 3D environment. The interactive 3D environment can be rendered via a GPU, encoded, and streamed to the client device. The 3D streaming session can be adjusted via the client device and maintained until terminated at the client device. The number of virtual compute instances of the packaged 3D streaming engine provided by the server can be dynamically adjusted based on metrics of connected client devices and machine learning predictions.

The invention discloses a 3D scene loading optimization method and device based on a WeChat applet and a medium, and relates to the technical field of scene loading optimization, and the method comprises the steps: obtaining an original 3D model file, and splitting the original 3D model file to obtain a multi-stage 3D resource file; constructing a scene frame corresponding to the multi-level 3D resource file to determine an interactive 3D scene graph; based on the interactive 3D scene graph, obtaining a resource loading sequence through view cone priority analysis; according to the resource loading sequence, determining a dynamic renderable 3D scene through asynchronous queue loading; and performing rendering process optimization on the dynamic renderable 3D scene to obtain an adaptive 3D scene. By means of the method, the technical problems that in an existing WeChat applet environment, the 3D scene loading speed is low, the rendering performance is poor, and the network flow requirement is high are solved.

Provided is an interactive 3D human motion generation system using artificial intelligence, the system comprising: a user terminal that inputs a natural language-based instruction text to generate 3D human motion and outputs a 3D human whose motion is generated on the basis of the instruction text; and a generation service-providing server including a receiving unit that receives the instruction text from the user terminal, a determination unit that infers and defines the motion included in the instruction text by dividing the motion by body parts, a generation unit that generates a motion vector on the basis of generative AI to animate the body parts on the basis of the motion defined for each body part, and a verification unit that verifies the motion based on the instruction text by applying the motion vector to a pre-built 3D human model.

Systems and methods for vehicle customization and maintenance in a platform are provided. The platform allows users to explore, diagnose, and maintain vehicles using VIN-based data, interactive 3D models, and AI-driven recommendations. The platform discloses methods of integrating 360° VIN-linked part recognition, interactive garage and bay management, a multi-view system including exterior, interior, and chassis views, AI-powered predictive diagnostics, and vendor-connected marketplace synchronization. allowing real-time parts availability, price comparison, and community interaction.

Processes and systems for identifying and mitigating threats to existing critical assets leverage interactive 3D modeling systems, such as gaming engines, to generate customized interactive 3D critical asset site models that provide interactive visual displays of multiple potential threats, multiple potential mitigation measures, and the effectiveness of the each of the potential threat mitigation features with respect to protecting existing and future critical assets and / or critical asset sites.

This invention discloses an interactive 3D mesh segmentation and normal alignment completion method based on region growing, belonging to the fields of computer graphics and 3D model processing technology. The method includes the following steps: obtaining the numbers of multiple interactively selected triangular facets, extracting the spatial coordinates of the corresponding facets, calculating the cutting reference plane using a fitting algorithm, and aligning the plane center to the centroid coordinates of the selected facets through centroid correction. This invention achieves high-precision local segmentation through region growing and interactive guidance, significantly improving the segmentation accuracy and efficiency of 3D models and avoiding accidental cutting of adjacent structures. Simultaneously, it introduces facet completion and normal reordering mechanisms to solve problems such as non-closed models and inconsistent normals after cutting, generating a structurally continuous, watertight, and standardized 3D model that can be directly used for 3D printing, simulation, and visualization applications, possessing good industrial adaptability and engineering practical value.

The invention provides a 3D scene generation method and system. The method comprises the steps that input scene description content is received, the scene description content is analyzed through an agent model, the scene description content is split into executable objects, and a structured object demand list is generated; constructing a dynamic world object description table according to the object demand list, defining a spatial constraint parameter for each object in the description table, and constructing a scene physical rule base; planning three-dimensional space parameters of each object based on the object space constraint parameters and a scene physical rule base; generating a 2D effect picture of each object in parallel based on the description content in the object demand list, and converting the 2D effect picture into a 3D model composed of minimum atomic units; and assembling a 3D model according to the three-dimensional space parameters of each object, generating an interactive 3D scene, and editing the 3D scene in real time based on an interactive interface. Through the scheme, independent control of each object model can be realized, reasonable layout of a scene can be guaranteed, and disproportionality of each object is avoided.

This invention relates to the fields of computer vision and speech processing technology, and particularly to an interactive 3D head generation method and apparatus based on interleaved multimodal context. It primarily addresses the problems of decoupling speech and 3D head motion, lack of context awareness, inconsistent generation results, and insufficient multimodal information fusion, proposing the following technical solution: Step 1, extracting speech signal features; Step 2, fusing head motion features with speech features; Step 3, dividing speech features and 3D head motion features into fixed-length segments; Step 4, inputting multimodal context segments to a multilayer transformer encoder; Step 5, generating a 3D head dynamic sequence; Step 6, adjusting the generation result through a guidance mechanism. This invention unifies the speech and head motion feature spaces to achieve precise adaptation and fusion, and combines multimodal context modeling and diffusion-guided generation to improve the synergy between head dynamics and speech, context awareness, and the consistency and diversity of generation.

The invention discloses a system and method for automatically generating an interactive three-dimensional model based on two-dimensional pipe network SHP data, the system comprises a data analysis and preprocessing module, a three-dimensional model automatic generation module, an information association and metadata embedding module and an interactive query and visualization module, the data analysis and preprocessing module is used for automatically reading a two-dimensional SHP file; and the three-dimensional model automatic generation module is used for automatically extruding the two-dimensional elements into a three-dimensional model according to a preset rule or an attribute field. The information association and metadata embedding module is used for taking each record in the original attribute table as metadata; according to the interactive query and visualization module, in a three-dimensional scene, a user clicks any three-dimensional pipe network model, and the system can trigger query in real time. One-key type automatic conversion from two dimensions to three dimensions is realized, and the three-dimensional modeling cost and time are greatly reduced. All attribute information and coordinate system information of original two-dimensional data are perfectly inherited, and the information island problem is solved.

A computer-implemented method is provided which includes processing, by a computing device, operational data associated with interconnected assets included in a carbon capture, utilization, and storage (CCUS) value chain. Processing the operational data includes performing a finite element analysis which simulates interactions among two or more fluids in the CCUS value chain. The method includes generating a digital representation of the CCUS value chain based on processing the operational data, wherein the digital representation includes a visual representation of the simulated interactions.

This invention relates to the field of virtual exhibition hall technology, providing a method and system for constructing a virtual exhibition hall based on intelligent assisted design, including: S1. Requirements analysis and intelligent material processing: obtaining design requirement texts through interaction with clients, parsing and extracting key design elements and functional keywords; simultaneously collecting various materials, automatically classifying, tagging, and performing correlation analysis to generate a structured material library; S2. Intelligent generation and optimization of 3D scenes: automatically generating structural suggestions for a basic 3D model of the exhibition hall based on the extracted key design elements, outputting a high-quality scene; S3. Personalized arrangement and dynamic integration of interactive content: recommending initial placement positions for materials, arranging materials in the virtual exhibition hall and adding interactive hotspots; then associating with audio narration files, embedding interactive 3D model demonstration controls, and adapting background music. This invention achieves intelligent and automated construction of virtual exhibition halls.

A computer-implemented system identifies possible medical conditions based on pain location input on three-dimensional anatomical models. The system presents interactive 3D anatomical models with curved surface topology, enabling users to precisely indicate points of pain. A plurality of predefined training pain points, placed on the anatomical model by medical practitioners and associated with corresponding medical conditions, serve as reference data for condition matching. The system calculates spatial relationships between user-identified pain points and training pain points. Configurable exclusion zones, including axis-aligned regions and surface-conforming markers, enable practitioners to define anatomical boundaries that constrain which training pain points participate in the correlation analysis. The system generates possible conditions via spatial proximity and / or non-spatial factors such as reported pain intensity, pain duration, injury history, user demographic information, and responses to condition-specific questionnaires. The conditions are presented with associated clinical information such as history, findings, imaging recommendations, and treatment options.

This invention provides a 3D application generation method, apparatus, and electronic device, relating to the field of computer technology. The method involves: parsing user-input natural language information using a large language model to generate structured scene description information; generating an interactive 3D scene preview based on the scene description information; receiving user operation commands based on the 3D scene preview and determining final scene configuration parameters according to the operation commands; constructing a 3D application in stages according to the final scene configuration parameters, and providing a runnable intermediate version of the 3D application to the user after at least one stage is completed. This invention deeply integrates the natural language understanding capabilities of a large language model with a visual interactive guidance mechanism, thereby achieving low-threshold, high-efficiency 3D application creation. It enables users with zero programming experience to quickly and accurately transform their ideas into high-quality immersive applications, improving the flexibility of 3D application creation.

This invention relates to the field of intelligent medical technology, specifically to an interactive 3D segmentation method for low-resolution functional medical images based on Mamba. This method addresses the problems of missed detection of small and spatially dispersed lesions, low accuracy, numerous false positives and fragmented features, and discontinuous contours in current 3D lesion segmentation methods for low-resolution functional medical images. The method combines SUV-weighted centroid initialization, multi-scale click feature encoding, progressive click feature fusion, and an interactive 3D segmentation process using the Mamba state-space model. The system displays the segmentation results of the 3D lesions and their visual overlay with the original volume data. Through repeated interaction and update processes, until the preset accuracy of foreground and background clicks is achieved, it effectively realizes high-precision, controllable 3D segmentation of multiple lesions in low-resolution functional medical images with cross-center and cross-modal migration capabilities, under conditions of fewer interactions and reasonable computational resources.

The invention discloses an interactive 3D digital twin model generation and incremental learning method. The method comprises the following steps: S1, data acquisition and preprocessing; s2, 3D modeling: converting discrete points in the preprocessed point cloud data into a continuous curved surface by an AI modeling engine, and establishing a 3D digital twin model; s3, voice interaction realization: the digital twinborn system is in communication connection with an end-to-end ASR model, the end-to-end ASR model converts user voice into a text in real time, and the text is subjected to deep semantic analysis through a natural language understanding technology and converted into an executable instruction of a 3D digital twinborn model; s4, emotional design: a digital twin system and an emotional calculation engine realize collaboration through an asynchronous message bus; and S5, dynamically growing the model. Compared with the prior art, the method solves the problem of limited application scenes caused by lack of interaction capability of the existing 3D digital twinborn model.

This application discloses an interactive 3D display system and method. The system includes: a server, a display module, and an interactive device. The server is communicatively connected to both the display module and the interactive device. The interactive device sends an interaction request to the server based on the user's gestures. The server receives the interaction request from the interactive device and adjusts the content displayed on the display module based on the interaction request and a preset multi-screen splicing model. The preset multi-screen splicing model is used to calculate the target viewing distance required for the user to obtain the best visual effect. This application provides a preset multi-screen splicing model for calculating the target viewing distance required for the user to obtain the best visual effect. Therefore, when the display screen is replaced or the parameters are adjusted, the target viewing distance required for the best visual effect can be recalculated using this model as the basic parameter for content adjustment, preventing visual misalignment caused by changes in angle and improving viewing continuity and comfort.

Processes and systems for identifying and mitigating threats to proposed critical assets leverage interactive 3D modeling systems, such as gaming engines, to generate customized interactive 3D critical asset site models that provide interactive visual displays of multiple potential threats, multiple potential mitigation measures, and the effectiveness of the each of the potential threat mitigation features with respect to protecting existing and future critical assets and / or critical asset sites.