Market Context — Why This Technology, Why Now

Global industries are prioritizing enhanced safety and operational efficiency, fueled by regulatory pressures and the push for automation. The proliferation of laser-based systems (e.g., LiDAR, industrial sensors) necessitates advanced detection capabilities to prevent accidents and optimize performance. This technology addresses a critical need for reliable, high-precision specific wavelength detection across automotive, logistics, and industrial sectors, enabling safer human-machine interaction and more robust autonomous systems.

Key Competitive Advantages
01

Achieves high-precision specific wavelength light detection, significantly reducing false alarms by effectively filtering visible light.

02

Enables compact, thin design, allowing easy integration into constrained spaces within vehicles and other systems.

03

Secures robust patent rights, validated through rigorous examination against four prior art documents and overcoming a rejection notice.

Market Opportunity
Autonomous Driving & ADAS
$5B–$6B globally (AI est.)
As autonomous driving levels advance, redundant and high-precision environmental recognition sensors are critical. This technology contributes to improved recognition accuracy through specific light detection.
Tier 1 automotive suppliers Autonomous vehicle developers ADAS system integrators
Commercial Vehicle Fleet Management
$150M–$250M globally (AI est.)
Increased safety regulations and demand for accident reduction in the transportation sector are accelerating the adoption of driver assistance systems. Risk avoidance through specific light detection is crucial.
Commercial fleet telematics providers Logistics technology companies Heavy-duty vehicle OEMs
Construction & Industrial Machinery Safety
$50M–$100M globally (AI est.)
Demand for systems that automatically detect hazards around heavy machinery is rising to ensure site safety and improve operational efficiency. Detecting specific laser light is effective for securing work area safety.
Industrial equipment manufacturers Construction technology providers Workplace safety solution developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core technology for systems detecting specific wavelength light, such as lasers, through a unique integrated linear Fresnel lens and two-color molding structure for light collection and filtering. Its robust claims, having overcome four prior art challenges and a rejection notice, demonstrate strong validity and a low invalidation risk, enabling licensees to effectively prevent imitation and ensure stable business operations.

Competitive White Space

This patent primarily covers optical hardware and basic detection. White space exists in advanced AI-driven data fusion for predictive analytics, integration with V2X communication systems, or novel applications in non-vehicular environments requiring complex environmental mapping.

Economic Impact
~$200K/year estimated operational cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a fleet of 1,000 vehicles, assuming an annual cost of $200/vehicle (AI est.) for false alarm responses and manual checks with conventional systems (including delays, labor). This technology could reduce false alarm rates by 50%, saving $100K/year (AI est.). Additionally, high-precision alerts could avoid $100K/year (AI est.) in potential fines and losses, totaling ~$200K/year (AI est.) in economic benefits.

Speed to Market
6× faster than in-house development
This technology's specific technical configuration, including the linear Fresnel lens and two-color molding for optical system miniaturization and integration, is clearly defined in the patent. This eliminates the need for licensees to undertake R&D from scratch, allowing for relatively easy integration into existing optical designs and manufacturing processes. With the fundamental principles of the detection algorithm already established, the development period from proof-of-concept can be significantly shortened, enabling productization efforts to commence within approximately six months.
Competitive Positioning

X: High-Precision Detection Efficiency
Y: System Integrability

Business Models & Applications
💡 Sensor Module Provision
Supply specific wavelength light detection modules, incorporating this technology, to automotive manufacturers and Tier 1 suppliers. This could simplify integration into their existing systems.
🛡️ ADAS Development
Develop advanced driver-assistance systems (ADAS) with laser light detection and notification capabilities, centered on this technology, for vehicle OEMs.
🌐 Service Integration Platform
Collect and analyze detection data via the cloud, integrating with traffic information services and smart city infrastructure to create new value-added services.
Adjacent Application Opportunities
🏠 Smart Home & Security
Intruder Detection System
Applied to home security systems, this technology could detect small devices emitting specific wavelengths (e.g., infrared for human presence sensors), alerting users to intruders or movement. This could reduce intrusion risks by up to 30% while respecting privacy.
🏭 Industrial Safety Monitoring
Worker Safety Zone Monitoring
In factories or construction sites, this could detect worker entry into hazardous zones using specific wavelength markers (e.g., on helmets). This has the potential to reduce heavy machinery contact accidents by 25% and enhance overall worker safety.
🔬 Medical & Healthcare
Non-Contact Vital Sign Monitoring Support
This technology could detect the presence of devices measuring vital signs remotely using specific laser light, alerting healthcare professionals. It could support integration with patient monitoring systems, potentially improving healthcare operational efficiency by 10-15%.
Integration Roadmap — Estimated 24-Month Deployment
Technology Evaluation & Prototype Development
Duration: 6 months
Conduct detailed evaluation to adapt the optical design and control algorithms of this technology to existing systems. Develop a functional verification prototype and perform initial performance assessments.
Field Testing & Product Design
Duration: 9 months
Conduct field tests in licensee's test vehicles or demonstration environments to verify performance and reliability. Proceed with component selection, enclosure design, and software optimization for mass production.
Mass Production Setup & Market Rollout
Duration: 9 months
Strengthen collaboration with manufacturing partners to establish a mass production system. Initiate sales activities and build distribution channels for target customers based on market entry strategy.
Technical Feasibility
This technology's specific configuration, integrating a linear Fresnel lens and two-color molding for the optical system, is clearly defined in the patent, providing clear design guidelines for implementation. Integration into existing vehicle-mounted sensor or ADAS systems is relatively straightforward by connecting the modularized light-receiving and control units. Utilizing a general-purpose signal processing interface ensures high compatibility with existing ECUs, likely avoiding the need for extensive system modifications.
Success Scenario
Implementing this technology could potentially double the specific wavelength light detection accuracy in a licensee's vehicle fleet compared to conventional systems. This is estimated to reduce driver stress and unnecessary stops due to false alarms by approximately 80% annually, significantly improving operational efficiency. Consequently, it could lead to reductions in annual fuel costs and delivery times, potentially cutting logistics costs by up to 15%.
Patent Record
APPLICATION NO.
特願2021-099126
REGISTRATION NO.
7063507
FILING DATE
2021/06/15
GRANT DATE
2022/04/25
EXPIRATION DATE
2041/06/15
PATENT HOLDER
株式会社ユピテル
Examination History
2021年10月12日
手続補正書（自発・内容）
2021年10月12日
早期審査に関する事情説明書
2021年10月12日
出願審査請求書
2021年10月26日
早期審査に関する通知書
2021年11月24日
拒絶理由通知書
2022年01月24日
手続補正書（自発・内容）
2022年01月24日
意見書
2022年03月29日
特許査定