Market Context — Why This Technology, Why Now

Industries worldwide face intense pressure to accelerate new product development and ensure stringent quality control amidst increasing material complexity and miniaturization. The drive for sustainability also demands efficient resource utilization, making rapid, non-destructive material characterization essential. This technology meets these demands by enabling faster R&D cycles and reducing quality-related costs, providing a critical competitive edge in sectors like advanced manufacturing, electronics, and healthcare.

Key Competitive Advantages
01

Reduces Measurement Workload by up to 70%

02

Achieves High-Precision Property Mapping

03

Accelerates Data-Driven Development

Market Opportunity
Materials Science & New Material Development
~$100B globally (AI est.)
High-performance materials and composite materials face intense development competition, making rapid and precise property evaluation indispensable. This technology contributes to shortening development lead times.
Advanced materials R&D labs Composite material manufacturers Specialty chemical companies
Semiconductors & Electronic Components
~$80B globally (AI est.)
As semiconductor miniaturization and multi-layering advance, demand for non-destructive, high-speed mapping in defect analysis and quality control is increasing.
Semiconductor device manufacturers Electronic component suppliers Wafer fabrication equipment OEMs
Medical & Bio
~$50B globally (AI est.)
New application fields are expected, such as assisting disease diagnosis through hardness mapping of biological tissues and evaluating tissue maturity in regenerative medicine.
Medical device manufacturers Regenerative medicine companies Biomedical research institutions
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent provides broad and robust protection across 14 claims, demonstrating strong novelty and inventiveness. Its successful grant after overcoming a rejection, coupled with limited prior art, indicates a stable and defensible IP position with low invalidation risk.

Competitive White Space

While this patent covers the core mapping method and apparatus, white space exists in integrating this Bayesian optimization with other non-indentation material characterization techniques or developing specialized hardware probes for extreme environments. Further IP could also be built around advanced predictive analytics based on the generated mapping data.

Economic Impact
~$100K–$650K/year estimated economic impact per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a company with annual measurement costs of ~$70K (AI est.) using conventional exhaustive methods, this technology could reduce the measurement workload by up to 70%. This could lead to an estimated annual cost reduction of ~$50K (AI est.) ($70K × 0.7). Further economic benefits are expected from reduced opportunity loss due to shorter development lead times and lower quality costs from reduced defect rates, potentially leading to a multi-hundred-thousand dollar annual economic impact.

Speed to Market
6× faster than in-house development
This technology's Bayesian optimization algorithm is already established, and the logic for automatically determining the next exploration point from indentation measurement results is clearly described in the patent specification. This significantly shortens the time required for algorithm design and verification compared to developing a similar system from scratch. It can be integrated as a software module into existing indentation mapping devices, requiring no major hardware modifications, making rapid market entry feasible.
Competitive Positioning

X: Cost Efficiency
Y: Measurement Efficiency & Accuracy

Business Models & Applications
💻 Software Licensing
Provide the Bayesian optimization algorithm as a software module to existing indentation mapping device users, enhancing their measurement efficiency.
🛠️ Technology Integration for Equipment Manufacturers
Partner with indentation mapping device manufacturers to integrate this technology as a standard feature, supporting product differentiation and value addition.
📊 Contract Measurement & Analysis Services
Offer high-efficiency, high-precision material property evaluation services using this technology for companies unable to acquire their own equipment or for research institutions with specific measurement needs.
Adjacent Application Opportunities
🏥 Medical Diagnostics & Regenerative Medicine
Disease Diagnosis Support System
By rapidly and precisely mapping minute hardness changes in biological tissues, this technology could contribute to early detection of diseases like cancer and assess tissue maturity/quality in regenerative medicine, potentially improving diagnostic accuracy by over 20%.
🤖 Robotic Tactile Sensors
High-Sensitivity Tactile Feedback
Integrated into robot arms, this system could map the hardness and surface shape of gripped objects in real-time, allowing AI to determine optimal gripping force. This has the potential to increase delicate task success rates by 30% for unknown objects.
🏭 Manufacturing Line Quality Inspection
Non-Destructive High-Speed In-Line Inspection
Applicable to manufacturing processes for composite materials, coatings, and adhesives, this system could enable non-destructive, high-speed in-line quality inspection. It could streamline 100% inspection, prevent defective product outflow, and improve production yield by 5-10%.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Proof of Concept & Requirements Definition
Duration: 3 months
Evaluate technical compatibility with the adopting company's existing equipment and specifically define the scope of application and expected benefits of the Bayesian optimization algorithm. Identify use cases and formulate a PoC plan.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a software module integration prototype for existing equipment based on defined requirements. Conduct measurements and validation using real data, performing performance evaluation and optimization.
Phase 3: Full-Scale Implementation & Operations Optimization
Duration: 9 months
Based on validation results, fully implement the system and commence operations in actual production lines or research environments. Continuously collect data and feedback to further optimize algorithm accuracy and efficiency.
Technical Feasibility
This technology can be implemented by integrating the Bayesian optimization algorithm as a software module into the control software of existing indentation mapping devices. The patent specification details the division of measurement areas, Bayesian optimization for exploration point determination, and area update conditions. Since it utilizes general-purpose data processing units and existing measurement probes, extensive hardware changes or new capital investment are not required. This allows adopting companies to maximize existing assets and proceed with implementation while minimizing technical hurdles.
Success Scenario
Upon adopting this technology, the lead time for property evaluation in new material development could be reduced by an average of 30%. This could accelerate the new product launch cycle and is estimated to reduce annual development costs by 15%. In quality control processes, it could enable efficiency close to 100% inspection, rather than conventional sampling, and is expected to suppress product defect rates to below 5%. Consequently, significant benefits in both productivity improvement and cost reduction are anticipated.
Patent Record
APPLICATION NO.
特願2021-201284
REGISTRATION NO.
7744009
FILING DATE
2021/12/10
GRANT DATE
2025/09/16
EXPIRATION DATE
2041/12/10
PATENT HOLDER
学校法人　中央大学
Examination History
2021年12月20日
手続補正書（自発・内容）
2024年11月12日
出願審査請求書
2025年08月19日
拒絶理由通知書
2025年08月21日
手続補正書（自発・内容）
2025年08月21日
意見書
2025年09月02日
特許査定