Market Context — Why This Technology, Why Now

Global industries are increasingly prioritizing safety, efficiency, and data quality, driving demand for advanced imaging solutions. Autonomous vehicle development requires robust sensors capable of reliable object recognition in all weather and lighting conditions. In medical imaging, the push for earlier, non-invasive diagnostics necessitates ultra-sensitive detectors. Simultaneously, industrial automation and smart city initiatives demand superior sensor performance for precise quality control and enhanced public safety, making technologies that excel in challenging low-light environments critically important.

Key Competitive Advantages
01

Achieves exceptionally high-precision detection under extremely low light conditions by preventing miscounts due to dark current noise, which was difficult with conventional technologies.

02

Significantly suppresses dark current noise by combining charge accumulation reset and threshold determination, dramatically improving detection reliability.

03

Offers strong potential for early market capture due to high originality, with only 3 prior art documents, highlighting its technical superiority.

Market Opportunity
🚗 Autonomous Driving & ADAS
$6.0B–$7.0B globally (AI est.)
High-precision object recognition in night or adverse weather conditions is crucial for ensuring autonomous driving safety. This technology has the potential to dramatically improve recognition accuracy in poor visibility by capturing even faint reflected light.
Tier 1 automotive suppliers ADAS sensor manufacturers Autonomous vehicle developers
🏥 Medical Imaging
$150M–$250M domestically (AI est.)
In medical diagnostic equipment that detects faint fluorescence or luminescence (e.g., cell imaging, endoscopes), high-sensitivity and low-noise imaging sensors directly improve diagnostic accuracy. This technology could contribute to earlier diagnoses and enhanced non-invasiveness.
Medical device OEMs Diagnostic equipment manufacturers Biotech research institutions
🚨 Security & Surveillance
$500M–$600M domestically (AI est.)
For night-time security cameras and surveillance systems, this technology could generate clear images even in darkness, enabling early detection of suspicious individuals and improved situational awareness. This is expected to enhance public safety and streamline surveillance operations.
Security camera manufacturers Smart city solution providers Defense contractors
🏭 Industrial Inspection & Quality Control
$3.0B–$4.0B globally (AI est.)
In manufacturing lines for detecting minute defects and for non-destructive inspection in special environments, this technology could provide high-precision image information, contributing to improved product quality and reduced inspection costs.
Industrial automation companies Machine vision system integrators Manufacturing equipment OEMs
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a solid-state imaging device featuring a unique signal readout circuit that accurately counts photons under extremely low light conditions by managing charge accumulation, resetting, and analog-to-digital conversion with specific thresholds. The claims are robust, having overcome examiner objections, ensuring a stable foundation for licensees.

Competitive White Space

Adjacent white space for licensees could include developing advanced image processing algorithms for post-detection enhancement, integrating with novel optical elements, or creating multi-modal sensor fusion architectures combining this imager with other sensor types for comprehensive environmental sensing.

Economic Impact
~$200K/year estimated cost reduction and productivity improvement per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology could reduce the average misdetection rate in industrial inspections by ~5%, leading to an estimated ~$50K/year cost reduction from re-inspection costs (assuming ~$0.5M/year in re-inspection costs). Additionally, a ~20% improvement in operational efficiency during night or low-light conditions could yield ~$50K/year in labor cost savings (assuming ~$150K/year in labor costs). Furthermore, a ~1% reduction in defect rates could generate ~$150K/year in value for products with ~$13.5M/year in sales. The total estimated economic impact could exceed ~$250K/year.

Speed to Market
8× faster than in-house development
This technology is already patented, with its technical principles and core circuit configurations clearly established. Key module functions, including the photoelectric conversion unit, accumulation unit, reset circuit, and analog-to-digital conversion circuit, are defined in detail. This eliminates the need for licensees to undertake research and development from scratch, significantly shortening the approximately 4-year period required for in-house development. It is highly probable that integration into existing imaging systems or prototype development could commence within approximately six months, dramatically accelerating time-to-market.
Competitive Positioning

X: Low Light Detection Accuracy
Y: Noise Immunity

Business Models & Applications
📷 Imaging Sensor Module Supply
Provide high-sensitivity imaging sensor modules incorporating this technology to camera and sensor manufacturers, facilitating integration into diverse end products.
🤝 IP Licensing
Grant technology licenses for this patent, segmented by specific application fields or regions, to empower partner companies to accelerate their unique product development.
🔬 Joint Research & Development
Collaborate with industry leaders to develop next-generation imaging solutions applying this technology, jointly exploring and addressing new market needs.
Adjacent Application Opportunities
🛰️ Space & Astronomical Observation
High-Sensitivity Cameras for Deep Space Exploration
Applying this technology to probes and telescopes for detecting extremely faint light in space could enable clearer imaging of distant celestial bodies and planets, potentially contributing to new scientific discoveries. Suppressing dark current noise is particularly crucial for space observation, which often requires long exposure times.
🌳 Environmental Monitoring
Night-Time Wildlife Monitoring Systems
This technology could be applied to systems for high-precision recording of nocturnal wildlife behavior using natural light, without the need for special infrared or other artificial light sources. This would allow for the acquisition of valuable ecological data while minimizing impact on ecosystems, contributing to environmental protection and research.
🧪 Bio & Life Sciences
Low-Light Bioluminescence Imaging
Integrating this technology into bioimaging devices that detect faint chemiluminescence or fluorescence within living organisms could enable higher sensitivity and resolution visualization of cellular-level life phenomena. This has the potential to contribute to new drug development and the elucidation of disease mechanisms.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technical Evaluation & Requirements Definition
Duration: 3 months
Evaluate compatibility with existing licensee systems, define specific performance requirements, and detail the scope of application for this technology.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype incorporating this technology based on defined requirements, then conduct performance evaluation and optimization in real-world environments.
Phase 3: Implementation & Mass Production Preparation
Duration: 9 months
Refine the design for final product implementation based on prototype validation results. Establish mass production systems and quality assurance processes.
Technical Feasibility
This technology pertains to charge accumulation, reset, and analog-to-digital conversion processes within the signal readout circuit of solid-state imaging devices. It can be integrated relatively easily into existing solid-state imaging device architectures, such as CMOS image sensors. The patent claims explicitly detail specific circuit components, suggesting that implementation is highly feasible with minimal physical modifications, primarily involving software control or minor circuit design changes. Its compatibility with general semiconductor manufacturing processes is also high, indicating a very strong technical feasibility.
Success Scenario
Upon adopting this technology, surveillance camera systems operating in night or low-light conditions could reduce false alarm rates by potentially two-thirds. This could significantly decrease the workload for security personnel, leading to an estimated ~1,500 hours of operational efficiency improvement annually. Furthermore, autonomous vehicle sensors could see a ~20% improvement in object recognition accuracy during adverse weather conditions like fog or rain, potentially contributing to reduced insurance costs by mitigating accident risks.
Patent Record
APPLICATION NO.
特願2020-142028
REGISTRATION NO.
7530241
FILING DATE
2020/08/25
GRANT DATE
2024/07/30
EXPIRATION DATE
2040/08/25
PATENT HOLDER
日本放送協会
Examination History
2023年07月25日
出願審査請求書
2024年05月07日
拒絶理由通知書
2024年06月25日
意見書
2024年06月25日
手続補正書（自発・内容）
2024年07月02日
特許査定