Market Context — Why This Technology, Why Now

The increasing global focus on climate change and environmental sustainability is driving demand for advanced monitoring solutions. Smart city initiatives require granular noise mapping, while aging infrastructure necessitates efficient acoustic inspection. This technology offers a timely solution to these market forces, enabling cost-effective, high-accuracy data collection that traditional methods cannot match, positioning it as a critical tool for compliance and predictive maintenance across industries.

Key Competitive Advantages
01

Removes ~90% of Rotor Noise: Precisely identifies and extracts pure environmental sound by synchronizing rotor phase information with acoustic data using a unique algorithm, significantly reducing self-noise and enhancing measurement accuracy.

02

Increases Measurement Efficiency by ~3x: Enables access to difficult-to-reach locations, such as high-rise buildings and elevated structures, reducing measurement preparation time by up to ~70% and boosting overall operational efficiency.

03

Secures Strong IP in a Competitive Field: This patent successfully navigated rigorous examination against four prior art documents, demonstrating clear differentiation and establishing a robust foundation for market positioning.

Market Opportunity
🏗️ Environmental Assessment & Construction
$0.35B–$2.5B globally (AI est.)
Increased noise regulations in construction projects and urban development are driving demand for high-precision environmental noise measurement. Drones offer an efficient solution for data acquisition in these contexts.
Environmental consulting firms Large construction companies Urban planning agencies Real estate developers
🚄 Infrastructure Inspection & Maintenance
$0.25B–$2B globally (AI est.)
As infrastructure like railways, elevated roads, and bridges age, there's a growing need for early fault prediction through abnormal sound detection. This technology contributes to more efficient patrol inspections.
Railway operators Highway and bridge authorities Infrastructure maintenance service providers Utility companies
🏙️ Smart City & Urban Planning
$0.2B–$1.5B globally (AI est.)
Creating urban noise maps and monitoring environmental conditions for resident well-being are critical for smart cities. This requires extensive, continuous, and high-precision data collection.
Smart city technology developers Municipal governments Urban development corporations Environmental monitoring solution providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a flying object, system, program, and method for environmental sound acquisition, with 7 claims covering multiple aspects. It successfully overcame two office actions with strong arguments and amendments, demonstrating clear differentiation from prior art and establishing a robust, difficult-to-invalidate scope of protection.

Competitive White Space

This patent primarily covers software-based noise extraction from drone-collected audio. White space exists in developing integrated multi-sensor drone platforms or advanced active noise cancellation hardware for broader acoustic applications beyond rotor noise removal.

Economic Impact
~$150K/year estimated cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Companies could reduce costs associated with high-altitude work equipment (e.g., aerial work platforms, scaffolding) and labor for repeat measurements. For example, an estimated annual saving of ~$100K (AI est.) from high-altitude work costs and ~$50K (AI est.) from reduced re-measurement labor, totaling ~$150K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology leverages established algorithms for synchronizing rotor rotation information and acoustic data analysis, eliminating the need for licensees to undertake greenfield technology development. Rapid deployment is possible by integrating this software into existing drone platforms, potentially shortening the market entry timeline by approximately three years compared to in-house development. This enables early competitive advantage and market share capture.
Competitive Positioning

X: Data Accuracy and Reliability
Y: Operational Efficiency and Cost Performance

Business Models & Applications
📊 Environmental Monitoring Services
Utilize drones equipped with this technology to offer high-precision noise measurement and analysis services to businesses and municipalities. Regular data collection and reporting are expected to generate continuous revenue.
🤝 Technology Licensing to Drone Manufacturers
License the software module and patent rights of this technology to drone manufacturers. This supports the development of high-performance environmental sound measurement drones and generates royalty income.
⚙️ Infrastructure Inspection Solutions
Provide infrastructure managers (e.g., railway, road authorities) with inspection solutions incorporating abnormal sound detection. This enhances predictive maintenance and contributes to reducing maintenance costs.
Adjacent Application Opportunities
🌳 Environmental Protection & Ecological Survey
Wildlife Habitat Monitoring
Applying this technology, drones could collect high-precision animal vocalizations and habitat sounds by removing their own noise. This enables detailed, non-invasive monitoring of ecosystem changes, contributing to conservation efforts and ecological research with minimal human intervention.
🚨 Public Safety & Security
Wide-Area Suspicious Sound Detection
In urban areas or event venues, drones could detect suspicious sounds (e.g., gunshots, screams, destruction sounds) in real-time. By eliminating drone noise, even subtle anomalies could be captured, aiding rapid situation assessment and response to enhance public safety.
🏭 Manufacturing & Plant Equipment Monitoring
Production Line Anomaly Detection
Drones could monitor machinery sounds in high-altitude or hazardous factory zones. This technology removes drone flight noise, allowing early detection of abnormal machine sounds, which could predict failures, reduce production line downtime, and improve predictive maintenance accuracy.
Integration Roadmap — Estimated 22-Month Deployment
Phase 1: Technical Verification & PoC
Duration: 4 months
Integrate the software module of this technology into an existing drone platform and evaluate its noise reduction performance in specific environments. This confirms basic technical suitability for practical operation.
Phase 2: System Development & Prototype
Duration: 9 months
Based on PoC results, develop a practical environmental sound acquisition system. This includes designing user interfaces, implementing data analysis functions, and completing a prototype through field testing.
Phase 3: Market Introduction & Service Expansion
Duration: 9 months
Following prototype validation, conduct final adjustments for product commercialization and service launch. Establish regulatory compliance, quality assurance systems, and initiate full-scale deployment to target markets, aiming for business scalability.
Technical Feasibility
This technology primarily focuses on software-based signal processing, maximizing the use of existing acoustic and rotation measurement components (e.g., motor control units) found in current drones. The patent claims explicitly cover configurations where the flying object includes these components, minimizing the need for new hardware development. Integration into general-purpose drone platforms is straightforward, indicating low technical hurdles through software updates or existing component utilization.
Success Scenario
Upon adopting this technology, environmental assessment firms could reduce noise measurement time for high-rise buildings or vast sites by approximately one-third compared to ground-based methods. This could shorten large-scale project measurement periods from weeks to days, potentially yielding ~20% annual cost savings. Furthermore, improved data reliability would reduce the need for re-measurements, enabling faster and higher-quality report delivery to clients.
Patent Record
APPLICATION NO.
特願2020-037974
REGISTRATION NO.
7541707
FILING DATE
2020/03/05
GRANT DATE
2024/08/21
EXPIRATION DATE
2040/03/05
PATENT HOLDER
国立大学法人山梨大学
Examination History
2020年03月18日
手続補正書（自発・内容）
2023年02月02日
出願審査請求書
2023年10月10日
拒絶理由通知書
2023年12月08日
意見書
2023年12月08日
手続補正書（自発・内容）
2024年02月20日
拒絶理由通知書
2024年04月16日
意見書
2024年04月16日
手続補正書（自発・内容）
2024年07月23日
特許査定