Market Context — Why This Technology, Why Now

Global industries are grappling with aging infrastructure, labor shortages, and the imperative for greater efficiency and safety. This has accelerated the adoption of autonomous inspection and monitoring systems. However, existing optical sensors often struggle with outdoor conditions, particularly strong ambient light. This technology's ability to deliver high-precision, wide-angle data in such environments is critical for advancing automation across sectors, from smart cities to logistics, where robust data acquisition is paramount for operational integrity and cost reduction.

Key Competitive Advantages
01

Achieves stable, high-precision measurement even outdoors by separating reflected light from background light, including sunlight, through narrow-bandpass filters and probe light wavelength distribution control.

02

Compensates for filter transmission wavelength blueshift with probe light wavelength distribution, enabling detection from a wide field of view and significantly improving measurement efficiency.

03

Indicates high technical originality and clear differentiation from competitors, as evidenced by only three prior art documents cited by the examiner.

Market Opportunity
Smart Infrastructure Maintenance
$300M–$400M globally (AI est.)
Aging infrastructure demands urgent labor-saving and efficiency improvements in inspection and diagnosis. High-precision outdoor measurement technology is crucial for automated monitoring of large-scale structures like bridges, tunnels, and power lines, serving as a core component of digital transformation initiatives.
Infrastructure inspection service providers Civil engineering and construction firms Smart city technology developers
Precision and Smart Agriculture
$150M–$250M globally (AI est.)
Optimizing crop growth, early detection of pests/diseases, and precise harvest timing require wide-area, high-precision outdoor imaging. This technology could be integrated into drones and agricultural robots to enhance yield and reduce operational costs.
Agricultural drone manufacturers Farm equipment and robotics companies Agribusiness data analytics providers
Logistics and Warehouse Automation
$100M–$200M globally (AI est.)
Non-contact, high-precision data acquisition is key to efficiency in outdoor warehouses and port facilities, for tasks like automated cargo inspection and volume/condition measurement of loaded goods. This technology has potential applications in automated recognition and inspection systems for harsh environments.
Logistics automation solution providers Port and terminal operators Warehouse robotics developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent provides robust protection for a measurement device and method that combines a probe light with a wavelength distribution and a filter element whose transmission wavelength shifts with incident angle. Granted swiftly after examination with few prior art citations, it demonstrates high novelty and inventiveness, securing a strong, difficult-to-invalidate right across 12 claims.

Competitive White Space

This patent focuses on optical measurement in the visible spectrum. Adjacent white space could include integrating multi-spectral or hyperspectral imaging for material analysis, or developing advanced AI algorithms for predictive maintenance based on the collected high-precision data.

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

For an infrastructure inspection department with 10 inspectors, this technology could reduce annual work hours for visual and simple measurements by ~20% through automation and high precision. Assuming an annual personnel cost of ~$50K/inspector (AI est.), this translates to an estimated annual cost reduction of ~$100K (AI est.) (10 inspectors × $50K/inspector × 20%).

Speed to Market
4× faster than in-house development
This technology's fundamental research and conceptual validation have been established by RIKEN, with laboratory-level verification already underway. While in-house development from scratch could take ~3.5 years, licensing this patent could significantly shorten the time to market to ~0.8 years. The clear patenting of optical principles and control algorithms reduces development risk, enabling rapid transition to practical application.
Competitive Positioning

X: Outdoor Environment Adaptability
Y: Measurement Accuracy & Efficiency

Business Models & Applications
💡 Device Provision Model
Develop and sell high-precision outdoor measurement devices incorporating this technology. Solutions can be tailored for specific industries like infrastructure inspection or agricultural machinery manufacturers.
🤝 Technology Licensing
License this patented technology to existing measurement equipment manufacturers or system integrators. This model promotes broader product and service deployment and rapid market penetration.
📊 Data Analysis Services
Leverage high-precision outdoor measurement data collected by this technology to offer value-added data analysis services, such as AI-driven anomaly detection, degradation prediction, or growth status analysis. SaaS-based monetization is also possible.
Adjacent Application Opportunities
🚗 自動運転・ADAS
All-Weather LiDAR/Camera Auxiliary Sensor
Applying this technology's background light rejection and wide field-of-view capabilities could enable next-generation autonomous driving sensors that maintain high recognition accuracy in adverse conditions like fog, rain, or glare. This could complement existing LiDAR and camera systems, contributing to safer and more reliable autonomous driving, potentially reducing accident rates by 15-20% in challenging weather.
🏥 医療・ヘルスケア
Non-Contact Vital Sign Monitoring
The technology's ability to separate background light and perform high-precision optical detection offers a significant advantage in non-contact vital sign monitoring, which is often affected by patient movement and ambient light. Potential applications include wide-area non-contact pulse and respiration rate measurement, or high-precision detection of skin condition changes for medical and elder care, improving patient comfort and data reliability by up to 30%.
🛰️ 宇宙・防衛
Remote Object Detection in Extreme Environments
This technology could be adapted for object detection and situational awareness in challenging environments where standard optical measurements are difficult, such as space, underwater, or disaster zones. High-precision remote optical signal detection and background noise removal could surpass the limitations of existing technologies in areas like exploration, surveillance, or space debris observation, enhancing detection range by 2x.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Requirements & Validation
Duration: 3 months
Analyze existing systems and measurement needs to define optimal integration. Conduct proof-of-concept and basic validation in a lab environment to clarify technical requirements and performance targets.
Phase 2: Prototype Development & Field Test
Duration: 6 months
Develop a prototype integrating this technology based on Phase 1 requirements. Conduct field tests using actual outdoor environments and objects to evaluate performance and optimize the system.
Phase 3: System Integration & Deployment
Duration: 9 months
Fully integrate the technology into the licensee's existing measurement and monitoring systems, based on field test results. Final adjustments and operational training will precede full market deployment or practical operation.
Technical Feasibility
This technology, comprising an illumination unit and a detection unit, appears readily integrable into existing optical measurement systems as an add-on module. The utilization of probe light wavelength distribution control and filter element blueshift characteristics can be achieved through software control and optical component selection/arrangement, likely without requiring significant capital investment. Its high compatibility with general-purpose optical systems and sensors suggests very high technical feasibility.
Success Scenario
Implementing this technology could enable wide-area, high-precision simultaneous measurement in outdoor infrastructure inspections, a task previously challenging. This could reduce inspection time by approximately 30% and lead to tens of millions of dollars in annual cost savings. Furthermore, stable data acquisition, unaffected by sunlight, is estimated to improve the accuracy of AI-driven anomaly detection, significantly reducing oversight risks.
Patent Record
APPLICATION NO.
特願2020-065320
REGISTRATION NO.
7398106
FILING DATE
2020/03/31
GRANT DATE
2023/12/06
EXPIRATION DATE
2040/03/31
PATENT HOLDER
国立研究開発法人理化学研究所
Examination History
2023年03月09日
出願審査請求書
2023年11月07日
特許査定