Market Context — Why This Technology, Why Now

The increasing miniaturization and complexity of electronic components, coupled with stringent quality standards in industries like automotive and medical devices, amplify the need for advanced contamination control. Global supply chain disruptions also drive demand for automated, high-yield production. This technology provides a strategic advantage by enabling cleaner, more reliable manufacturing processes, crucial for maintaining competitiveness and meeting evolving regulatory requirements worldwide.

Key Competitive Advantages
01

Reduces contamination risk significantly by eliminating powder use

02

Enables non-contact, non-destructive inspection for continuous online monitoring

03

Provides differentiated high-precision detection, offering a clear technical advantage over 6 prior art technologies

Market Opportunity
Semiconductor Manufacturing
$3B–$4B globally (AI est.)
In semiconductor manufacturing, electrostatic discharge can damage wafers and chips, directly impacting yield. High-precision, non-contact electrostatic detection is crucial for reducing defect rates.
Semiconductor equipment manufacturers Wafer fabrication plants Advanced packaging companies
Flat Panel Display Manufacturing
$1B–$2B globally (AI est.)
As Flat Panel Displays (FPDs) become larger and higher resolution, the risk of electrostatic-induced particle adhesion and circuit damage increases. Clean environment inspection is highly demanded.
Display panel manufacturers OLED/LCD equipment suppliers Cleanroom technology providers
Precision & Medical Devices
$600M–$700M globally (AI est.)
In the assembly of medical devices and precision components, electrostatic-induced dust adhesion and electronic circuit damage significantly impact product reliability. Non-contact inspection is essential.
Medical device OEMs Precision component assemblers Cleanroom automation integrators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core configuration of an electrostatic sensor system, specifically the array of multiple extended gates and field-effect transistors. Its robustness is evidenced by successfully overcoming examiner objections through detailed arguments and amendments, indicating a strong, difficult-to-invalidate claim scope that effectively deters competitive imitation.

Competitive White Space

This patent primarily covers the sensor hardware and its direct electrostatic detection method. White space exists in developing advanced AI-driven predictive analytics for electrostatic events, integrating the sensor data into comprehensive factory-wide IoT platforms, or exploring novel applications in smart textiles or consumer electronics.

Economic Impact
~$100K/year estimated cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Traditional powder-based inspection incurs costs for powder purchase, application/removal labor, waste disposal, and defect rates. This technology eliminates these. For example, a facility with ~$6.5K/month (AI est.) in powder-related expenses could save ~$80K/year (AI est.) in direct costs. Additionally, non-contact inspection is expected to improve yield, leading to an estimated total economic impact of ~$100K/year (AI est.).

Speed to Market
5× faster than in-house development
This technology, invented by Yamagata University, is presumed to have completed basic research and proof-of-concept. The patent specification details specific connection configurations for extended gates and field-effect transistors, suggesting practical application could be achieved relatively quickly by leveraging existing semiconductor process technology. Combining university expertise with established manufacturing techniques could significantly reduce development time and cost, enabling faster market entry.
Competitive Positioning

X: Non-Contact Inspection Precision
Y: Environmental Impact Reduction

Business Models & Applications
🏭 Licensing to Manufacturing Equipment OEMs
This technology is suitable for licensing to manufacturers of semiconductor and precision electronic component inspection equipment. Integrating non-contact, high-precision electrostatic detection could differentiate existing product lines and add significant value.
🔬 Sales of High-Function Sensor Modules
This model involves developing electrostatic detection modules based on this technology and offering them as components for diverse industrial applications (e.g., display manufacturing, medical devices, automotive parts). Market expansion could occur through OEM supply or joint development.
📊 Electrostatic Monitoring & Predictive Maintenance Service
Utilize this technology to provide predictive maintenance solutions for electrostatic issues on production lines. Real-time data-driven anomaly detection and predictive maintenance could reduce downtime and improve productivity, potentially offered as a SaaS model.
Adjacent Application Opportunities
🏥 医療・ヘルスケア
Non-Invasive Biosensing
This technology's non-contact electrostatic detection could capture human bioelectric signals and surface potential changes for medical and healthcare applications. For instance, it could non-invasively detect subtle skin changes for early disease screening or monitor stress levels, potentially improving diagnostic accuracy by 20%.
🔒 セキュリティ
High-Sensitivity Intrusion Detection
Leveraging its ability to detect wide-area electrostatic distribution, this technology could be applied in security. By sensing minute changes in electrostatic fields generated by intruders, it could enable non-contact, high-sensitivity intrusion detection systems or smart security floor implementations, potentially reducing false alarms by 30%.
🌱 スマート農業
Plant Growth Environment Monitoring
In agriculture, changes in electrostatic fields can affect pest adhesion and plant growth. This technology could monitor soil and leaf surface potential, as well as airborne particle charge states, contributing to optimal cultivation environment management and pest prediction systems in smart agriculture, potentially boosting crop yields by 10-15%.
Integration Roadmap — Estimated 18-Month Deployment
Technology Evaluation & Concept Design
Duration: 3 months
Based on the patent's core principles, this phase involves conceptual design and feasibility assessment tailored to the licensee's specific application requirements (e.g., detection targets, precision, speed).
Prototype Development & Validation
Duration: 6 months
Develop a prototype sensor based on the design, conducting performance evaluation and tuning in a lab environment or small-scale demonstration line. Establish data acquisition and analysis algorithms.
Operational Deployment & Optimization
Duration: 9 months
Based on validation results, finalize the design for mass production and proceed with full integration into existing production lines or inspection systems. Aim for stable operation through performance monitoring and continuous optimization.
Technical Feasibility
This technology utilizes an array of field-effect transistors and extended gates, a configuration achievable with existing semiconductor manufacturing processes. It could be easily integrated into existing electronic circuit board technologies and sensor array production lines, potentially without requiring significant capital investment. Control systems can also be managed with general-purpose signal processing techniques, suggesting relatively low technical hurdles.
Success Scenario
Implementing this technology could fully automate electrostatic inspection on production lines, potentially reallocating human resources from traditional powder processing to other tasks. This is estimated to reduce inspection time and costs by 30% and improve production throughput by 15%. Furthermore, non-contact inspection is expected to enhance product quality retention, potentially halving the defect rate.
Patent Record
APPLICATION NO.
特願2021-052798
REGISTRATION NO.
7683910
FILING DATE
2021年03月26日
GRANT DATE
2025年05月19日
EXPIRATION DATE
2041年03月26日
PATENT HOLDER
国立大学法人山形大学
Examination History
2021年09月14日
手続補正書（自発・内容）
2024年02月15日
出願審査請求書
2024年10月29日
拒絶理由通知書
2025年02月17日
手続補正書（自発・内容）
2025年02月17日
意見書
2025年04月22日
特許査定