Market Context — Why This Technology, Why Now

Industries worldwide face immense pressure to optimize operations, reduce costs, and overcome skilled labor shortages. The demand for digital twin and augmented reality solutions is surging as companies seek to improve remote collaboration, enhance training, and streamline complex workflows. This technology provides a critical enabler for these trends, offering a cost-effective and rapid deployment path to advanced visualization and data integration, driving competitive advantage in a rapidly evolving digital landscape.

Key Competitive Advantages
01

Automates High-Precision 3D Model Generation from Still Images: Automatically generates 3D models and virtual images of real-world spaces from multiple still image data, potentially improving complex modeling tasks by up to 70% without specialized expertise.

02

Enables Seamless Information Sharing Between Real and Virtual Spaces: Overlays virtual images consistently on real-world objects and virtual 3D models, dramatically enhancing collaboration between on-site personnel and remote teams.

03

Establishes Market Leadership Through High Uniqueness: With only one prior art reference, this highly unique technology offers an exclusive period until 2042, enabling a strong competitive market position.

Market Opportunity
Manufacturing
$1.5B–$2.5B globally (AI est.)
High demand for DX solutions directly impacting productivity and cost reduction, including remote maintenance, quality inspection, work procedure visualization, and training.
Industrial equipment manufacturers Automotive assembly plants Electronics production facilities Quality control system providers
Construction and Infrastructure
$1B–$2B globally (AI est.)
Requires efficient information sharing and record management for on-site progress tracking, completion inspections, and maintenance of aging infrastructure.
Large-scale construction companies Infrastructure maintenance providers Building information modeling (BIM) software developers Facility management firms
Healthcare and Education
$500M–$800M globally (AI est.)
Applicable for surgical simulations, remote medical assistance, and creating advanced training content requiring specialized skills in medical and educational settings.
Medical simulation software developers Remote healthcare technology providers Educational technology companies Vocational training institutes
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a detailed information processing method for generating 3D models and virtual images from still image data, enabling seamless real-virtual information sharing. Its claims were successfully defended against examiner objections, establishing a robust and stable right with low invalidation risk and high technical uniqueness, evidenced by only one prior art reference.

Competitive White Space

This patent focuses on still image processing for 3D model generation and virtual overlay. White space exists in real-time video processing for dynamic environments, advanced AI-driven scene understanding beyond basic object recognition, and integration with haptic feedback systems for immersive XR experiences.

Economic Impact
~$1M/year estimated DX promotion cost reduction and 20% productivity improvement per facility (est.).
estimated ROI · USD · AI analysis
ROI Calculation Logic

This technology could significantly reduce expert personnel costs for 3D modeling, travel and information sharing expenses between sites and remote offices, and mitigate opportunity losses from extended project durations. Specifically, it could save ~$65K/person (AI est.) for 2 3D modeling specialists (50% reduction = ~$65K/year, AI est.), ~$130K/year (AI est.) in travel and information sharing (50% reduction = ~$65K/year, AI est.), and ~$850K/year (AI est.) from shortened project timelines. This totals an estimated annual cost reduction of ~$1M (AI est.).

Speed to Market
6× faster than in-house development
This technology's mechanism for processing information from still image data is well-established, allowing for easy integration with existing cameras and image acquisition systems. The patent's abstract and detailed description indicate a focus on software-based processing, not specific hardware. This means licensees could deploy the technology significantly faster, potentially 2.5 years earlier than developing a similar solution from scratch, as proof-of-concept data and algorithms are already established.
Competitive Positioning

X: Cost Efficiency
Y: Real-Virtual Space Integration

Business Models & Applications
💻 Software Licensing
A model for licensing software implementing this information processing method to client companies in manufacturing, construction, and other industries. Revenue generated through initial setup fees and annual maintenance.
🤝 Joint Development & System Integration
A model for jointly conducting customized development to fit client companies' existing systems and workflows, including comprehensive system construction and integration with related hardware.
📊 Data Analysis & Consulting Services
Provides high-value-added services utilizing the 3D models and virtual image data generated by this technology, offering site issue analysis, efficiency improvement proposals, and optimization support.
Adjacent Application Opportunities
🏗️ Construction & Civil Engineering
Smart Site Management System
This system could generate real-time 3D models of construction site progress from multiple still images, virtually overlaying them with design blueprints and construction plans. This enables remote supervisors to accurately monitor conditions and issue instructions, potentially reducing rework by 15% and shortening project timelines.
🏥 Healthcare & Medical
Surgical Training & Rehabilitation Support
By creating 3D models of operating rooms or rehabilitation environments from still images and overlaying virtual imagery onto patient bodies or medical devices, this technology could enhance training for doctors and therapists. It could also visualize and evaluate patient rehabilitation movements, potentially improving training effectiveness and treatment quality by 20%.
🎓 Education & Training
High-Precision VR Content Platform
This platform could capture real machinery, equipment, or historical structures with still images to generate high-quality 3D models and interactive virtual imagery. It offers an easy way to create and deliver immersive VR educational content for fields where practical training is difficult, potentially increasing engagement by 30%.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technical Validation & Requirements Definition
Duration: 3 months
Evaluate compatibility with the licensee's existing systems and business processes. Confirm still image data acquisition environment and clarify functional requirements for the technology.
Phase 2: Prototype Development & Testing
Duration: 6 months
Develop a prototype system incorporating this technology based on defined requirements. Conduct accuracy verification of 3D model generation and information overlay, along with functional tests, using actual still image data.
Phase 3: Production Deployment & Optimization
Duration: 9 months
Optimize the system based on test results and deploy it to the production environment. Initiate on-site operations and continuously improve functionality and performance through ongoing feedback.
Technical Feasibility
This technology is a software-based solution that processes multiple still image data captured from real-world spaces, enabling the use of general-purpose image data from existing cameras, smartphones, and drones. The patent claims specify 'data acquisition steps' for still image data, eliminating the need for new dedicated hardware. This ensures high compatibility with existing equipment, allowing licensees to implement the technology with relatively low costs and short timelines through software updates or module integration into current systems, without requiring significant capital investment.
Success Scenario
Upon adoption, this technology could enable skilled workers in manufacturing to overlay virtual instructions or past repair histories onto real equipment via a tablet during inspections or repairs. This is estimated to reduce work errors by up to 30% and improve operational efficiency by 20%. Additionally, remote experts could share real-time 3D models of on-site conditions to provide precise instructions, potentially reducing business travel costs by ~$130K/year (AI est.).
Patent Record
APPLICATION NO.
特願2022-031560
REGISTRATION NO.
7219932
FILING DATE
2022/03/02
GRANT DATE
2023/02/01
EXPIRATION DATE
2042/03/02
PATENT HOLDER
国立研究開発法人日本原子力研究開発機構
Examination History
2022年06月21日
早期審査に関する事情説明書
2022年06月21日
出願審査請求書
2022年06月29日
早期審査に関する通知書
2022年09月07日
拒絶理由通知書
2022年10月20日
意見書
2022年10月20日
手続補正書（自発・内容）
2023年01月18日
特許査定