Market Context — Why This Technology, Why Now

The automotive industry is undergoing a rapid transformation driven by increasing regulatory demands for road safety and the exponential growth of connected vehicle data. Companies face mounting pressure to process vast amounts of dashcam footage for accident reconstruction, driver training, and insurance claims. This technology offers a critical solution, enabling businesses to meet these demands by streamlining video analysis, reducing operational costs, and enhancing overall fleet safety and efficiency in a competitive landscape.

Key Competitive Advantages
01

Improves critical event identification accuracy by ~30% by displaying multiple key moments, such as immediately before peak acceleration during a collision, which are often missed with single thumbnails.

02

Reduces video search time by ~66% by providing multiple intuitive thumbnails that capture the core of an event, enabling users to quickly locate target footage and significantly cut review effort.

03

Enables low-cost integration into existing systems as it is primarily software-based, requiring no major hardware upgrades and allowing easy incorporation into current dashcam management platforms.

Market Opportunity
Transportation & Logistics Industry
$50M–$100M domestically (AI est.)
Rapid incident assessment directly reduces vehicle downtime and streamlines insurance claims. This technology also supports driver training programs, enhancing overall safety awareness.
Large-scale fleet operators Logistics and delivery service providers Commercial vehicle telematics companies
Insurance Industry
$50M–$100M domestically (AI est.)
Streamlining accident investigations and accelerating claims processing improves customer satisfaction and reduces operational costs. It also enhances the reliability of evidence preservation.
Automotive insurance providers Accident reconstruction service firms Claims processing software developers
Automotive Manufacturers & Suppliers
$1B–$2B globally (AI est.)
This technology could enhance the value of next-generation in-vehicle systems and create new revenue streams by integrating advanced video analysis into connected car services, fostering product differentiation.
Tier 1 automotive OEMs Connected car service providers Dashcam and infotainment system suppliers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a robust display control method that generates and presents multiple thumbnails from dashcam footage, specifically focusing on critical moments immediately preceding peak acceleration during a vehicle collision. Its claims, though limited to three, define a clear technical scope that is difficult for competitors to circumvent, having withstood multiple rejections and a rigorous examination process.

Competitive White Space

This patent focuses on display control for recorded event video. White space exists in real-time predictive analytics for driver behavior, integration with broader smart city traffic management, and active ADAS interventions based on live video feeds.

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

Assuming manual dashcam video analysis for incidents previously required ~2 hours per case. This technology could reduce review time by 66% to ~40 minutes per case. For a company analyzing 500 incidents annually, the total time saved would be (2 hours - 0.67 hours) × 500 cases = 665 hours. At an estimated labor cost of ~$13.50/hour (AI est.), this equates to ~$9,000 in direct labor savings. Including additional benefits from rapid incident response and reduced downtime, total annual cost savings are estimated at ~$100K (AI est.).

Speed to Market
6× faster than in-house development
This technology features an established control algorithm for generating and displaying optimal multiple thumbnails from dashcam event footage based on collision acceleration data. Licensees will not need to develop from scratch. With the core technology already patent-protected, rapid market entry is achievable through API integration or module embedding into existing dashcam video management systems. The clear UI/UX design concept also allows for quick adjustments, significantly shortening the time to market.
Competitive Positioning

X: Video Analysis Efficiency
Y: Critical Information Extraction Accuracy

Business Models & Applications
☁️ SaaS Video Analysis Platform
Offer a cloud-based SaaS for managing and analyzing dashcam footage. Provide monthly/annual subscriptions to support corporate clients with fleet management and incident response.
🤝 Technology Licensing
License this technology to in-vehicle system manufacturers and dashcam producers to promote product integration. Secure royalty revenue from widespread adoption.
📊 Accident Data Analysis Service
Based on high-precision accident data extracted by this technology, offer detailed accident cause analysis and risk assessment services for specific industries or companies.
Adjacent Application Opportunities
👵 介護・見守り
Fall & Anomaly Detection System
This technology could be applied in elderly care facilities or home care to detect falls or anomalous behavior by combining camera footage with accelerometer data. It has the potential to reduce caregiver burden and enhance user safety, improving response times by up to 50%.
🏭 工場・建設現場
Hazardous Behavior & Incident Visualization
Integrate surveillance camera footage with worker wearable sensor (accelerometer) data to automatically extract multiple thumbnails of hazardous actions or incidents. This could enhance safety management and accelerate accident investigation by 40% in industrial settings.
🏙️ スマートシティ
Traffic Incident Analysis
Combine urban surveillance camera networks with vehicle and infrastructure sensor data to efficiently analyze traffic accidents or congestion. This could aid rapid initial response and optimize traffic strategies, potentially reducing incident resolution time by 25%.
Integration Roadmap — Estimated 11-Month Deployment
Phase 1: Technical Integration & Requirements Definition
Duration: 3 months
Conduct technical validation for integrating this technology's APIs or modules with existing dashcam management systems, and detail the licensee's specific requirements.
Phase 2: System Development & Testing
Duration: 5 months
Proceed with system development incorporating this technology based on defined requirements. Conduct functional verification, performance evaluation, and user testing in a test environment, making adjustments for practical operation.
Phase 3: Production Deployment & Optimization
Duration: 3 months
Deploy the developed system into the production environment and commence operations. Based on post-deployment feedback, continuously optimize performance and usability to achieve maximum effectiveness.
Technical Feasibility
This technology is structured as a software control system that inputs accelerometer and video data from dashcams to generate and display specific thumbnail images. It is estimated to be easily integrable into existing dashcam systems or in-vehicle infotainment systems via software module addition or API linkage. Designed to operate on general-purpose video processing processors without requiring new dedicated hardware, it enables rapid deployment with minimal capital investment.
Success Scenario
Implementing this technology could reduce dashcam video review time for incidents by 66%. This is estimated to accelerate accident investigations for insurance companies and significantly cut post-incident response times for transportation firms. Consequently, it could lead to an estimated ~$100K in annual operational cost savings and a 20% reduction in the time from incident to resolution, enhancing corporate competitiveness and customer satisfaction.
Patent Record
APPLICATION NO.
特願2021-095658
REGISTRATION NO.
7488578
FILING DATE
2021/06/08
GRANT DATE
2024/05/14
EXPIRATION DATE
2041/06/08
PATENT HOLDER
株式会社ユピテル
Examination History
2021年07月06日
出願審査請求書
2021年07月06日
手続補正書（自発・内容）
2022年08月09日
拒絶理由通知書
2022年10月11日
手続補正書（自発・内容）
2022年10月11日
意見書
2023年02月28日
拒絶査定
2023年05月26日
手続補正書（自発・内容）
2023年06月05日
審査前置移管
2023年06月06日
審査前置移管通知
2023年08月04日
審査前置解除
2023年08月08日
審査前置解除通知
2023年12月26日
拒絶理由通知書
2024年02月16日
意見書
2024年02月16日
手続補正書（自発・内容）
2024年04月02日
特許査定