{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852543","patent":{"patent_number":"US-9852543","title":"Automated three dimensional model generation","assignee":null,"inventors":[],"filing_date":"2016-03-24T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06T","G06T","G06V","G06V","G06V","G06T","G06T","G06T"],"num_claims":15,"abstract":"In various example embodiments, a system and methods are presented for generation and manipulation of three dimensional (3D) models. The system and methods cause presentation of an interface frame encompassing a field of view of an image capture device. The systems and methods detect an object of interest within the interface frame, generate a movement instruction with respect to the object of interest, and detect a first change in position and a second change in position of the object of interest. The systems and methods generate a 3D model of the object of interest based on the first change in position and the second change in position."},"analysis":{"summary":"The patent titled \"Automated Three Dimensional Model Generation\" (US-9852543) introduces a novel system and methods for the streamlined creation and manipulation of three-dimensional (3D) models. At its core, this innovation addresses the significant challenges associated with traditional 3D modeling, which often require specialized equipment, extensive technical expertise, and considerable time and cost.\n\nThe primary problem this invention solves is the accessibility and efficiency of 3D model generation. Existing methods are often a bottleneck for industries rapidly adopting 3D content, such as e-commerce for product visualization, augmented reality (AR) and virtual reality (VR) for immersive experiences, and manufacturing for rapid prototyping and digital twins. The patent aims to democratize 3D content creation by simplifying the capture process.\n\nThe key technical approach involves an intuitive, user-guided system. The patent describes a process where an image capture device, such as a smartphone or tablet camera, presents an 'interface frame' to the user. When an object of interest is placed within this frame, the system detects it and then generates specific 'movement instructions.' These instructions guide the user on how to move or rotate the object. By detecting a 'first change in position' and a subsequent 'second change in position' of the object relative to the camera, the system automatically gathers sufficient data to generate a complete 3D model. This iterative process allows for comprehensive data capture without requiring precise manual measurements or complex photogrammetry knowledge.\n\nThe business value and applications of this technology are substantial. It significantly reduces the cost and time involved in creating 3D assets, making it feasible for small businesses and individual creators to leverage 3D content. For e-commerce, it enables easy creation of 3D product views, enhancing customer engagement and reducing returns. In manufacturing, it accelerates the digitization of prototypes for faster design iterations and quality control. AR/VR applications benefit from a rapid influx of real-world objects into virtual environments. The market opportunity is immense, as the global demand for 3D content continues to surge across diverse sectors. This patent positions its assignee to capture a significant share of this expanding market by offering an unparalleled blend of ease-of-use, affordability, and automation in 3D model generation.","layman_explanation":"### What Problem Does Automated Three Dimensional Model Generation Solve?\n\nImagine a world where every product you see online could be viewed in full 3D, rotated, and even placed virtually in your home using your phone. Or, consider a design firm that could instantly create a digital copy of a physical prototype for quick adjustments and simulations. The big hurdle in making these scenarios widespread has always been the immense difficulty and cost of creating high-quality 3D models. Traditionally, this process requires highly specialized equipment, like expensive laser scanners, or a team of skilled 3D artists spending countless hours manually building models. This creates a significant bottleneck, making 3D content creation slow, costly, and inaccessible to most businesses, especially small and medium-sized enterprises (SMEs). Existing solutions are often too complex, too slow, or too expensive for the scale of demand we see today in areas like e-commerce, augmented reality (AR), and digital manufacturing.\n\n### How Does Automated Three Dimensional Model Generation Work?\n\nThe **Automated Three Dimensional Model Generation** patent introduces a remarkably intuitive and automated approach. Think of it like a smart assistant for your camera. You start by using a regular image capture device, like a smartphone or tablet camera. The system then displays a special 'interface frame' on your screen – essentially a guided box where you should place the object you want to digitize. Once your object is in this frame, the system takes over. It intelligently detects the object and then gives you simple, clear instructions on how to move or rotate it. For example, it might say, 'Rotate the object slightly to the right' or 'Move it a bit closer.' As you follow these prompts and the object changes its position relative to the camera, the system automatically captures all the necessary visual data. By detecting these sequential changes in position, the technology pieces together a comprehensive three-dimensional model of your object. It's like the system is taking many snapshots from different angles, but it's smart enough to tell you exactly how to move the object to get the best pictures, then automatically stitches them into a full 3D representation. The beauty is you don't need to understand complex geometry or photogrammetry; the system handles all the technical heavy lifting.\n\n### Why Does Automated Three Dimensional Model Generation Matter?\n\nThis innovation matters because it dramatically lowers the barrier to entry for 3D content creation, unlocking immense market opportunities. For e-commerce, it means retailers can quickly and affordably create interactive 3D product views, leading to richer online shopping experiences, increased sales, and potentially fewer returns as customers get a better sense of products. In manufacturing and product design, it accelerates the 'digital twin' concept, allowing engineers to rapidly digitize physical prototypes for faster design iterations, quality control, and virtual testing. This translates directly into reduced development cycles and significant cost savings. For AR and VR, it means a flood of new, real-world objects can be easily integrated into virtual environments, making immersive experiences more realistic and engaging. The competitive advantage lies in offering unparalleled ease of use and cost-effectiveness, positioning companies leveraging this patent to dominate sectors that require scalable 3D asset generation. The potential return on investment (ROI) is high, driven by operational efficiencies, enhanced customer engagement, and accelerated product innovation across various industries.\n\n### What's Next for Automated Three Dimensional Model Generation?\n\nThe future applications for this technology are vast and exciting. We can expect to see widespread adoption in consumer-facing applications, such as integrated features in e-commerce apps for users to scan and upload their own items, or in social media platforms for personalized AR filters. In professional settings, this system could evolve to integrate with robotic arms for fully automated industrial scanning, or with advanced AI for even more intelligent data capture. As the technology matures, it will likely become an indispensable tool for anyone needing to bridge the gap between the physical and digital worlds, from architects scanning existing structures to artists digitizing sculptures. Market adoption is expected to accelerate as businesses realize the competitive edge gained from rapid, affordable 3D content. This patent lays the groundwork for a future where 3D modeling is no longer a specialized skill but a ubiquitous capability.","technical_analysis":"The \"Automated Three Dimensional Model Generation\" patent (US-9852543) outlines a sophisticated yet user-centric system designed to significantly simplify the creation and manipulation of 3D models. This innovation addresses the inherent complexities of traditional photogrammetry and 3D scanning, offering an automated workflow that reduces reliance on specialized hardware and expertise.\n\n**Technical Architecture Overview:**\nThe core architecture described in this patent involves a tightly integrated loop between an image capture device, a user interface, object detection mechanisms, and a 3D reconstruction engine. At a high level, the system can be conceptualized as having:\n1.  **Input/Display Module:** Responsible for operating the image capture device (e.g., camera sensor) and presenting the 'interface frame' to the user. This frame acts as a visual guide or bounding box within the live camera feed.\n2.  **Object Detection & Tracking Module:** Continuously processes the incoming video stream to detect and track the 'object of interest' within the interface frame. This module likely employs real-time computer vision algorithms capable of robust object recognition and pose estimation.\n3.  **Movement Instruction Generator:** Based on the current state of object detection and the progress of 3D data acquisition, this module dynamically generates user-friendly movement instructions (e.g., \"rotate object clockwise,\" \"move object closer\"). This is a critical feedback mechanism to ensure optimal data capture.\n4.  **Positional Change Detection Module:** Monitors the successive frames to identify 'first change in position' and 'second change in position' of the object. This implies feature tracking across frames (e.g., using SIFT, SURF, ORB, or deep learning-based feature descriptors) and ego-motion estimation relative to the object.\n5.  **3D Model Generation Engine:** The heart of the system, responsible for reconstructing the 3D geometry and potentially texture of the object. This module utilizes the detected positional changes and corresponding image data to build the model. This could involve Structure-from-Motion (SfM) or Simultaneous Localization and Mapping (SLAM) principles, adapted for object-centric reconstruction. It would aggregate point clouds, perform bundle adjustment, and generate a mesh.\n6.  **Model Manipulation Module:** Allows for post-generation refinement, scaling, texturing, and export of the generated 3D model.\n\n**Implementation Details and Algorithm Specifics:**\nWhile the patent abstract doesn't delve into specific algorithms, the described functionality implies several underlying technical considerations:\n*   **Object Detection:** Could utilize pre-trained deep learning models (e.g., YOLO, SSD for speed; Mask R-CNN for segmentation if needed) or traditional techniques for feature-rich objects. The robustness of detection is crucial for consistent tracking.\n*   **Feature Tracking & Pose Estimation:** To detect 'changes in position,' the system would track salient features on the object across multiple frames. This could involve optical flow, feature matching, and then solving for the relative pose (rotation and translation) of the object between frames. Given the 'movement instruction' aspect, the system implicitly understands its current coverage and what further data is needed.\n*   **3D Reconstruction:** Based on the estimated poses and corresponding 2D image points, the 3D Model Generation Engine would triangulate 3D points. Iterative bundle adjustment algorithms would refine camera poses and 3D point locations to minimize reprojection errors. Dense reconstruction techniques (e.g., multi-view stereo, depth map fusion) would then be applied to generate a detailed surface mesh.\n*   **Real-time Processing:** For a smooth user experience, many of these processes would need to operate in near real-time, potentially leveraging GPU acceleration for image processing and reconstruction tasks.\n\n**Integration Patterns:**\nThis system can be integrated in various forms:\n*   **Mobile Application:** A standalone app for smartphones/tablets, utilizing their built-in cameras and processing power.\n*   **Desktop Software:** For higher-fidelity needs, integrated with external webcams or DSLR cameras, leveraging more powerful desktop CPUs/GPUs.\n*   **Cloud-based Service:** The capture could happen locally, with computationally intensive 3D reconstruction offloaded to cloud servers, allowing for scalability and access to more powerful resources.\n\n**Performance Characteristics:**\n*   **Accuracy:** Dependent on camera quality, lighting, object texture, and the precision of positional change detection. The guided movement instructions are key to ensuring sufficient data for high accuracy.\n*   **Speed:** Real-time feedback and automated generation promise significantly faster model creation compared to manual methods.\n*   **Robustness:** The system needs to be robust against varying lighting, minor occlusions, and different object types. The 'interface frame' and 'movement instructions' are designed to mitigate user error and environmental variability.\n\n**Code-Level Implications:**\nDevelopers implementing this patent would work with libraries like OpenCV for computer vision, potentially TensorFlow/PyTorch for deep learning-based object detection, and PCL (Point Cloud Library) or OpenMVG/COLMAP for SfM/MVS tasks. Optimization for mobile device constraints (battery, CPU/GPU) would be crucial for on-device implementations. The user interface layer would require careful design to make the movement instructions clear and intuitive.\n\nIn essence, this patent describes a sophisticated, intelligent system that abstracts away the technical complexities of 3D modeling, making it an accessible tool for a broad range of applications and users.","business_analysis":"The \"Automated Three Dimensional Model Generation\" patent (US-9852543) represents a significant disruption in the rapidly expanding market for 3D content creation. Its business implications are profound, offering new avenues for market penetration, competitive differentiation, and substantial revenue potential across multiple industries.\n\n**Market Opportunity Size:**\nThe global 3D scanning and modeling market is projected to reach tens of billions of dollars in the coming years, driven by the proliferation of augmented reality (AR), virtual reality (VR), digital twins, e-commerce, and advanced manufacturing. Current 3D content creation methods are often expensive, time-consuming, and require specialized expertise, creating a bottleneck that limits widespread adoption. This patent directly addresses this bottleneck by democratizing 3D modeling, thereby expanding the total addressable market by making it accessible to a much broader user base, including small businesses and individual creators.\n\n**Competitive Advantages:**\n1.  **Ease of Use:** The primary advantage is its simplicity. By guiding users through object movement with an 'interface frame' and 'movement instructions,' the system drastically lowers the barrier to entry for 3D model creation. This contrasts sharply with complex, expert-driven traditional photogrammetry or expensive dedicated 3D scanners.\n2.  **Cost-Effectiveness:** Leveraging common image capture devices (e.g., smartphones, webcams) eliminates the need for costly specialized hardware, making high-quality 3D model generation affordable for a much wider range of businesses and individuals.\n3.  **Speed and Efficiency:** The automated detection of positional changes and subsequent model generation significantly accelerates the workflow from physical object to digital asset, enabling rapid prototyping, quick catalog digitization, and agile content creation.\n4.  **Scalability:** The simplified process allows for the efficient digitization of large inventories or numerous prototypes, a critical factor for e-commerce and manufacturing.\n\n**Revenue Potential and Business Models:**\nThis technology opens up several lucrative business models:\n*   **SaaS Subscription:** Offering the software (mobile app or desktop) as a service with tiered subscriptions based on model resolution, export formats, storage, or monthly generation limits.\n*   **API/SDK Licensing:** Licensing the core technology as an API or SDK for integration into existing platforms (e.g., e-commerce platforms, CAD software, game engines, AR/VR development kits).\n*   **Hardware Bundling (Optional):** While not required, the technology could be bundled with optimized camera rigs or turntables for enhanced performance and specific industrial applications.\n*   **Service Bureau:** Offering 3D model generation as a service for businesses that prefer outsourcing, leveraging the efficiency of the patented system.\n*   **Asset Marketplace:** Creating a marketplace for 3D models generated using the system, taking a commission on sales.\n\n**Strategic Positioning:**\nThe owner of this patent can strategically position themselves as a leader in accessible 3D content creation. This innovation could become the 'default' method for rapid 3D asset generation for small to medium-sized businesses (SMBs), e-commerce merchants, independent game developers, and AR/VR content creators. It creates a defensible position by simplifying a complex technical process into an intuitive user experience, a significant moat against competitors relying on traditional, more cumbersome methods.\n\n**ROI Projections:**\nFor businesses adopting this technology, the ROI is evident through:\n*   **Reduced Operational Costs:** Significant savings on equipment, specialized labor, and outsourcing fees for 3D modeling.\n*   **Accelerated Time-to-Market:** Faster design iterations and product visualization lead to quicker launches.\n*   **Enhanced Customer Engagement:** High-quality 3D product views and AR experiences can boost sales, reduce returns, and improve brand perception.\n*   **Increased Productivity:** Engineers and designers can focus on core tasks rather than tedious 3D capture.\n\nIn conclusion, the \"Automated Three Dimensional Model Generation\" patent is not merely a technical advancement; it's a strategic business asset poised to unlock new markets, redefine workflows, and generate substantial value by making the power of 3D modeling universally accessible.","faqs":[{"answer":"The Automated Three Dimensional Model Generation patent (US-9852543) describes a groundbreaking system and methods for creating three-dimensional (3D) models of objects with unprecedented ease and automation. Unlike traditional methods that require expensive scanners or complex software, this invention allows users to generate high-quality 3D models using a standard image capture device, such as a smartphone or tablet camera.\n\nAt its core, the system guides the user through the capture process. It presents an 'interface frame' on the screen, instructing the user where to position the object of interest. Once detected, the system then provides clear, step-by-step movement instructions, such as 'rotate the object clockwise' or 'move it closer.'\n\nAs the user follows these instructions and the object changes its position relative to the camera, the technology intelligently captures the necessary visual data. By detecting a sequence of positional changes, the system automatically reconstructs a complete 3D model of the object.\n\nThis innovation essentially democratizes 3D modeling, making it accessible to a much broader audience, from e-commerce businesses to AR/VR content creators, without requiring specialized technical skills or costly equipment. It's a significant leap towards making 3D content creation as simple as taking a photograph. Keywords: 3D model generation, automated modeling, patent US-9852543, computer vision, digital twins.","question":"What is Automated Three Dimensional Model Generation?"},{"answer":"The operational mechanism of the Automated Three Dimensional Model Generation patent is built on an intuitive, user-guided, and automated process. It starts with an image capture device, like your phone camera, which displays an 'interface frame' – a visual guide or box – on its screen.\n\n1.  **Object Detection:** When you place an object within this interface frame, the system's intelligent software detects the 'object of interest.' This is where computer vision algorithms come into play, identifying and segmenting the target object from its background.\n2.  **Movement Instruction Generation:** Once the object is detected, the system analyzes the current view and determines what additional perspectives are needed to build a complete 3D model. Based on this analysis, it generates clear, real-time 'movement instructions' for the user. These instructions are designed to ensure optimal data capture, guiding the user to rotate, tilt, or move the object to expose different surfaces.\n3.  **Positional Change Detection:** As the user follows these instructions and moves the object, the system continuously monitors and detects both a 'first change in position' and a 'second change in position' of the object. This involves tracking key features on the object across multiple frames and calculating its precise relative movement and orientation.\n4.  **3D Model Generation:** With the data collected from these detected positional changes and corresponding image information, the system's 3D reconstruction engine automatically builds the three-dimensional model. This process likely involves techniques similar to Structure-from-Motion (SfM) and Multi-View Stereo (MVS), but highly optimized for real-time, object-centric reconstruction. The result is a detailed 3D model without manual intervention.\n\nThis intelligent feedback loop and automated processing make the creation of 3D models far more efficient and user-friendly than previous methods. Keywords: 3D modeling workflow, computer vision, object tracking, movement instructions, Structure-from-Motion, real-time 3D reconstruction.","question":"How does Automated Three Dimensional Model Generation work?"},{"answer":"The Automated Three Dimensional Model Generation patent primarily solves the pervasive problem of complexity, cost, and inaccessibility in 3D model creation. Historically, generating high-quality 3D models has been a significant bottleneck for a wide array of industries.\n\n**Complexity:** Traditional photogrammetry requires users to understand complex photographic principles (e.g., optimal overlap, baseline), while specialized 3D scanning hardware demands technical expertise for operation and calibration. Manual 3D modeling, on the other hand, is an art form requiring extensive training and time.\n\n**Cost:** High-precision 3D scanners can cost tens of thousands of dollars. The software for processing photogrammetry data is often expensive, and hiring skilled 3D artists or outsourcing modeling work incurs substantial labor costs. This makes 3D content creation prohibitive for many small and medium-sized businesses (SMBs) and individual creators.\n\n**Inaccessibility:** Due to the aforementioned challenges, 3D modeling has largely been confined to specialized departments or large corporations. This limits the widespread adoption of 3D content in emerging technologies like augmented reality (AR), virtual reality (VR), and digital twins, which thrive on readily available 3D assets.\n\nThis innovation directly addresses these issues by providing an intuitive, automated, and cost-effective solution that leverages common devices. It democratizes 3D content creation, making it feasible for a broader audience to integrate 3D models into their workflows and applications. Keywords: 3D modeling challenges, cost-effective 3D, accessible 3D content, AR/VR content bottleneck, digital twin problem, patent solution.","question":"What problem does Automated Three Dimensional Model Generation solve?"},{"answer":"The patent US-9852543, titled \"Automated Three Dimensional Model Generation,\" lists specific inventors who contributed to this groundbreaking technology. While the abstract and provided patent data do not explicitly name the inventors in the provided text, patent documents always credit the individuals responsible for the inventive concepts.\n\nTypically, these inventors are experts in fields such as computer vision, 3D graphics, robotics, or software engineering, often working within a research and development team of the assignee organization. Their collective expertise in these advanced technical domains is crucial for developing a system that can intelligently guide users and automatically reconstruct complex 3D geometry from dynamic visual data.\n\nTo identify the exact inventors, one would need to consult the full official patent document (US-9852543) available through patent databases. These individuals are recognized for their contribution to advancing the state of the art in automated 3D model generation, paving the way for more accessible and efficient digital content creation. Keywords: patent inventors, US-9852543 inventors, 3D technology pioneers, computer vision researchers, patent assignee, innovation team.","question":"Who invented Automated Three Dimensional Model Generation?"},{"answer":"The Automated Three Dimensional Model Generation patent (US-9852543) offers a multitude of benefits that are set to transform various industries and workflows:\n\n1.  **Unprecedented Ease of Use:** The primary benefit is its intuitive, user-guided interface. By providing clear 'movement instructions' and an 'interface frame,' the system eliminates the need for users to have specialized knowledge of photogrammetry or 3D modeling software. This makes 3D content creation accessible to virtually anyone with a camera-equipped device.\n2.  **Significant Cost Reduction:** The technology leverages readily available image capture devices (e.g., smartphones), thereby removing the necessity for expensive dedicated 3D scanners or high-end professional software licenses. This dramatically lowers the financial barrier to entry for 3D asset generation.\n3.  **Accelerated Workflow & Efficiency:** The automated detection of positional changes and real-time 3D model generation drastically speeds up the entire process. What once took hours or days of manual effort can now be achieved in minutes, enabling rapid prototyping, faster product launches, and agile content creation.\n4.  **Enhanced Scalability:** The efficiency and low cost per model make it feasible for businesses to digitize large inventories (e.g., for e-commerce) or numerous prototypes, which was previously impractical with traditional methods.\n5.  **Democratization of 3D Content:** By simplifying the process, this innovation empowers a wider range of creators and businesses to utilize 3D content, fostering new applications in AR/VR, gaming, education, and beyond. This opens up new market opportunities and drives digital transformation.\n\nThese benefits collectively position Automated Three Dimensional Model Generation as a disruptive technology that will reshape how digital assets are created and consumed. Keywords: 3D modeling benefits, cost savings 3D, efficient 3D creation, accessible technology, AR/VR growth, digital transformation.","question":"What are the key benefits of Automated Three Dimensional Model Generation?"},{"answer":"The Automated Three Dimensional Model Generation patent (US-9852543) distinguishes itself from prior art by fundamentally altering the user interaction and automation level in 3D model creation.\n\n**Traditional Photogrammetry:** Prior art in photogrammetry requires users to manually capture a large number of overlapping images from various viewpoints, often necessitating expertise in photography and careful planning. The subsequent processing is computationally intensive and requires specialized software and user intervention for tasks like camera calibration, feature matching, and mesh cleanup. This invention differs by providing explicit 'movement instructions' to guide the user, ensuring optimal data capture without requiring expert knowledge, and automates the reconstruction based on detected positional changes.\n\n**Dedicated 3D Scanners (Laser/Structured Light):** While highly accurate, these devices are typically expensive, bulky, and often require controlled environments and trained operators. Automated Three Dimensional Model Generation, in contrast, utilizes common, ubiquitous image capture devices (like smartphone cameras), making it far more accessible and cost-effective, albeit potentially with different levels of precision depending on the application.\n\n**Manual 3D Modeling (CAD):** This prior art involves creating models from scratch using design software, demanding extensive artistic or engineering skills and significant time. This patent bypasses manual creation entirely by directly digitizing physical objects.\n\n**Depth Cameras (e.g., Kinect):** While offering real-time depth, these often have lower resolution and accuracy for detailed object reconstruction compared to the multi-view approach implied by this patent. This invention's focus on precise positional changes from high-resolution optical images allows for potentially higher fidelity models.\n\nIn essence, the key differentiator of Automated Three Dimensional Model Generation is its unique combination of user-guided capture, real-time positional change detection, and automated 3D model generation, all achievable with readily available hardware. This dramatically lowers the technical and financial barriers that characterize prior art methods. Keywords: prior art comparison, 3D modeling innovation, photogrammetry alternatives, accessible 3D technology, competitive advantage, patent differentiation.","question":"How is Automated Three Dimensional Model Generation different from prior art?"},{"answer":"The Automated Three Dimensional Model Generation patent (US-9852543) is poised to have a transformative impact across a wide array of industries, fundamentally changing how 3D content is created and utilized:\n\n1.  **E-commerce and Retail:** This is one of the most immediate beneficiaries. Retailers can easily generate 3D models of their entire product catalog, enabling interactive 3D product viewers, augmented reality (AR) 'try-on' experiences, and virtual showrooms. This will enhance customer engagement, reduce product returns, and drive online sales.\n2.  **Manufacturing and Industrial Design:** The technology will accelerate the 'digital twin' concept. Engineers can rapidly digitize physical prototypes, machine parts, or entire assembly lines for faster design iterations, quality control, simulation, and predictive maintenance. This significantly shortens product development cycles and optimizes operational efficiency.\n3.  **Augmented Reality (AR) and Virtual Reality (VR):** Content creation is a major bottleneck for AR/VR development. This patent provides a scalable solution for easily populating virtual worlds and AR experiences with real-world objects, making immersive content richer, more realistic, and more accessible to developers and creators.\n4.  **Gaming and Entertainment:** Game developers can rapidly create 3D assets from real-world objects, props, and environments, enhancing realism and reducing production time and costs for video games and film production.\n5.  **Architecture, Engineering, and Construction (AEC):** Professionals can quickly generate 3D models of existing structures, components, or construction sites for renovation planning, progress monitoring, and facility management.\n6.  **Education and Training:** The ability to easily create 3D models of educational materials or training props will enable more engaging and interactive learning experiences, particularly in fields like anatomy, engineering, or history.\n7.  **Cultural Heritage and Digital Archiving:** Museums and historical institutions can efficiently digitize artifacts, sculptures, and historical sites for preservation, research, and public access, creating immersive virtual tours and digital archives.\n\nBy democratizing 3D content creation, this innovation acts as a foundational technology that will fuel growth and innovation across these diverse sectors. Keywords: industry impact 3D, e-commerce innovation, manufacturing technology, AR/VR content, digital twin applications, cultural heritage digitization.","question":"What industries will Automated Three Dimensional Model Generation impact?"},{"answer":"The patent for \"Automated Three Dimensional Model Generation\" (US-9852543) has specific dates associated with its lifecycle, which are crucial for understanding its legal standing and timeline of innovation.\n\nAccording to the patent data, the filing date for this invention was **2016-03-24**. This is the date when the patent application was officially submitted to the patent office. The filing date is significant because it typically establishes the priority date for the invention, meaning that the inventor's claim to the invention's novelty and non-obviousness is generally assessed from this point in time.\n\nThe publication date for this patent was **2017-12-26**. This is the date when the patent document was officially published, making its details publicly available. The publication of the patent provides transparency and allows other innovators and the public to understand the scope of the invention.\n\nIt's important to note that the publication date is distinct from the grant date (also known as issue date), which is when the patent is formally approved and granted by the patent office, giving the patent holder exclusive rights. While the grant date is not explicitly provided in the abstract, the publication date indicates when the technology's details became part of the public record, allowing for widespread awareness and analysis of this automated three-dimensional model generation system. Keywords: patent filing date, publication date US-9852543, patent timeline, intellectual property, invention history, 3D modeling patent.","question":"When was Automated Three Dimensional Model Generation filed/granted?"},{"answer":"The commercial applications of the Automated Three Dimensional Model Generation patent (US-9852543) are extensive and poised to disrupt numerous markets by making 3D content creation highly accessible and cost-effective. This innovation can generate significant commercial value across various sectors:\n\n1.  **E-commerce Product Visualization:** Retailers can use this technology to create interactive 3D models of their entire product inventory. This enables immersive shopping experiences with 360-degree product views, augmented reality (AR) 'try-on' features for clothing or accessories, and virtual placement of furniture in a customer's home. This leads to higher conversion rates, reduced product returns, and a more engaging online shopping journey.\n2.  **Rapid Prototyping & Digital Twins in Manufacturing:** Manufacturers can quickly digitize physical prototypes, machine components, or complex assemblies. This accelerates the design iteration process, facilitates virtual testing and simulation, improves quality control, and supports the creation of accurate digital twins for predictive maintenance and operational optimization. This translates to faster time-to-market and reduced development costs.\n3.  **AR/VR Content Development:** Developers can rapidly create realistic 3D assets from real-world objects to populate virtual and augmented reality environments. This significantly lowers the cost and time barrier for producing engaging AR/VR applications, games, and training simulations.\n4.  **Real Estate & Interior Design:** Professionals can quickly generate 3D models of existing spaces, furniture, or decor items. This aids in virtual staging, client presentations, and creating immersive property tours.\n5.  **Gaming and Media Production:** Game studios and film production houses can use this system to efficiently digitize props, set pieces, and characters, enriching their digital worlds with real-world fidelity while reducing asset creation timelines.\n6.  **Education and Training Platforms:** Content creators can easily generate 3D models of educational objects (e.g., historical artifacts, biological specimens) for interactive learning modules, making complex subjects more engaging and understandable.\n\nBy simplifying and automating the creation of 3D models, this patent unlocks commercial opportunities for businesses to innovate, reduce costs, and deliver richer digital experiences across their value chains. Keywords: commercial 3D applications, e-commerce solutions, manufacturing efficiency, AR/VR monetization, digital content business, patent commercialization.","question":"What are the commercial applications of Automated Three Dimensional Model Generation?"},{"answer":"The Automated Three Dimensional Model Generation patent (US-9852543) lays a robust foundation for numerous exciting future developments, pushing the boundaries of 3D content creation and its integration into our digital lives:\n\n1.  **Enhanced AI-Driven Guidance:** Future iterations could feature even more sophisticated AI that not only provides movement instructions but also predicts optimal capture paths based on object geometry, material properties, and desired output quality. This could lead to near-autonomous capture systems where the user's role is further minimized.\n2.  **Integration with Neural Rendering (e.g., NeRFs):** The data capture methodology could be optimized to feed directly into neural rendering pipelines (like Neural Radiance Fields). This would enable the generation of incredibly photorealistic and view-consistent 3D models, complete with intricate lighting and material properties, far surpassing traditional mesh-based models in visual fidelity.\n3.  **Multi-Modal Sensor Fusion:** While the patent focuses on image capture, future developments could integrate data from other sensors like LiDAR (Light Detection and Ranging) or Time-of-Flight (ToF) cameras. This fusion would enhance accuracy, improve performance in challenging lighting conditions, and enable the capture of larger environments or objects with difficult geometries.\n4.  **Semantic Understanding and Material Recognition:** Beyond just geometry and texture, future systems could leverage advanced AI to semantically understand the object being scanned (e.g., 'this is a chair,' 'this is made of wood'). This could allow for automatic material assignment, intelligent scene composition, and the generation of models that are not only visually accurate but also contextually aware.\n5.  **Cloud-Powered Scalability and Collaboration:** The computational demands for high-fidelity 3D reconstruction can be significant. Future developments will likely lean heavily on cloud computing, allowing users to capture data locally and offload heavy processing to powerful cloud servers. This also facilitates seamless collaboration on 3D projects across teams and geographies.\n6.  **Fully Autonomous 3D Capture:** With advancements in robotics and AI, the guided human interaction could evolve into fully autonomous systems using robotic arms or drones to scan objects in industrial settings, inaccessible environments, or for large-scale digital archiving.\n\nThese potential developments highlight the profound long-term impact of Automated Three Dimensional Model Generation, promising an era where 3D content is not only easy to create but also intelligent, hyper-realistic, and ubiquitous. Keywords: future of 3D technology, AI in 3D modeling, neural rendering, sensor fusion, autonomous 3D scanning, next-gen digital content.","question":"What are the future developments expected for Automated Three Dimensional Model Generation?"}],"topics":["automated 3D model generation","3D modeling patent","US-9852543","computer vision 3D","AR/VR content creation","burgeoning","demand","content"],"tech_cluster":null},"seo":{"title":"Automated Three Dimensional Model Generation - US-9852543","description":"Discover the Automated Three Dimensional Model Generation patent (US-9852543), revolutionizing 3D model creation from simple object movements. Learn how it boosts e-commerce, AR/VR, and design workflows.","keywords":["automated 3D model generation","3D modeling patent","US-9852543","computer vision 3D","AR/VR content creation","e-commerce 3D visualization","photogrammetry automation","digital twin generation","3D scanning technology","patent innovation","object reconstruction","user-guided 3D modeling"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852543","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852543","citation_suggestion":"Patentable. \"Automated three dimensional model generation\" (US-9852543). https://patentable.app/patents/US-9852543","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852543","json":"https://patentable.app/api/llm-context/US-9852543","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T09:32:45.043Z"}