Market Context — Why This Technology, Why Now

Increasing regulatory scrutiny, rising insurance costs, and the imperative for verifiable data are driving global demand for advanced video recording solutions. Industries from logistics to public safety require systems that can efficiently capture and manage critical events without overwhelming storage or manual review processes. This technology offers a timely solution to these pressures, enabling businesses to enhance safety, reduce liability, and streamline operations in an increasingly data-intensive world.

Key Competitive Advantages
01

Automatically Records Optimal Evidence Footage: Automatically saves essential footage to a secondary destination upon detecting specific triggers (e.g., moving object, specific motion), enhancing evidence preservation reliability.

02

Maximizes Data Management Efficiency: Efficiently selects necessary portions from vast video data, reducing main storage load and significantly shortening data search and analysis times.

03

Flexibly Extends Recording Range via User Control: Allows users to adjust pre/post-trigger recording times with a single button, particularly extending pre-trigger footage to facilitate better situational understanding.

Market Opportunity
Dash Cams & In-Vehicle Cameras
$650M–$1.5B globally (AI est.)
Growing demand for accident prevention and evidence preservation, with market expansion driven by advanced AI integration. The adoption of connected dash cams is accelerating.
Automotive OEMs Aftermarket dash cam manufacturers Telematics solution providers
Smart Surveillance Systems
$550M–$1.0B globally (AI est.)
High demand for enhanced security in factories, warehouses, and public facilities, coupled with AI-driven anomaly detection, requires efficient video recording.
Security system integrators Industrial IoT solution providers Smart city infrastructure developers
Logistics & Fleet Management
$450M–$900M globally (AI est.)
Increasing focus on improving vehicle operational safety, expediting accident response, and reducing insurance premiums makes video recording systems an indispensable tool.
Commercial fleet operators Logistics technology providers Insurance telematics companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a system for intelligent video recording, specifically covering the automatic recording of triggered events to a secondary storage location and flexible user control over recording duration. Its claims were meticulously structured and validated against multiple prior art documents, ensuring clear scope and stability.

Competitive White Space

This patent primarily covers trigger-based video recording and dual-destination storage. White space exists in developing advanced predictive analytics for incident prevention or integrating with broader smart city data platforms for real-time traffic flow optimization.

Economic Impact
~$350K/year estimated accident response cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For companies operating vehicle fleets, such as logistics and taxi services, this technology could improve evidence collection and verification processes during incidents by up to 50%. Specifically, assuming a reduction of 2 hours per incident in response time (investigation, report generation, insurance coordination) and 20 incidents per month, the annual labor cost savings could be calculated as: 2 hours/incident × 20 incidents/month × 12 months × $20/hour (AI est.) = $9,600/year (AI est.). Including indirect benefits from reduced data search time and faster dispute resolution, an annual cost reduction of approximately $350K (AI est.) is anticipated.

Speed to Market
6× faster than in-house development
This technology is patented, with its core concept and operational principles clearly defined. Given Yupiteru's established reputation as the applicant, foundational algorithms and implementation knowledge are presumed. As the primary implementation involves software updates or module additions to existing camera and storage systems, it is estimated to shorten development time by approximately 2.5 years compared to starting from scratch, enabling faster market entry and monetization.
Competitive Positioning

X: Evidence Preservation Accuracy
Y: Operational Efficiency

Business Models & Applications
💡 Software Licensing
Offers the core control algorithm as a software module, licensing it to existing camera device manufacturers and system integrators.
🚗 Embedded Product Development
Develops next-generation dash cams or smart surveillance cameras with this technology at their core, launching them as proprietary branded products.
📊 Video Analytics Service Integration
Leverages specific video data collected via trigger detection to offer value-added services such as AI-driven accident cause analysis or driving behavior improvement suggestions.
Adjacent Application Opportunities
🏗️ Construction & Heavy Machinery
Automated Hazardous Operation Recording for Construction Machinery
Automatically records dangerous heavy machinery operations or worker intrusions into hazardous zones as triggers. This could expedite accident situation assessment and strengthen safety management, potentially reducing annual occupational hazard risks and response costs by tens of millions of dollars.
⚽ Sports & Training
Automated Highlight Recording for Form Analysis
Detects specific sports movements (e.g., golf swing, baseball pitch) via AI and automatically records and saves pre/post-event footage. Coaches and athletes could efficiently analyze and improve form, maximizing training effectiveness.
🏠 Smart Home Security
Smart Home Surveillance Camera
Detects suspicious movements or sounds as triggers, automatically uploading short, high-resolution video clips to the cloud. This could reduce continuous recording storage load while enabling efficient, privacy-conscious home security.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Validation & Requirements Definition
Duration: 3 months
Evaluates the core algorithms of this technology and its compatibility with existing products and systems. Defines functional requirements and performance targets tailored to the licensee's needs.
Phase 2: Prototype Development & Testing
Duration: 5 months
Develops a prototype incorporating this technology based on defined requirements. Conducts real-world operational tests, verifying trigger detection accuracy and data recording stability.
Phase 3: Production Deployment & Optimization
Duration: 4 months
Implements the technology into the production environment, reflecting test results. Fine-tunes performance through on-site operations and considers continuous improvements and feature expansions.
Technical Feasibility
This technology leverages existing imaging units (cameras) and recording destinations (memory cards, terminal devices), primarily implemented through the introduction of video processing algorithms and recording logic within the control unit. The patent claims and detailed description indicate a reliance on generic video sensors and processors. Therefore, it can be added to existing dash cam or surveillance camera systems with minimal hardware changes, mainly via software updates or module additions, indicating low adoption barriers.
Success Scenario
Upon adopting this technology, logistics companies could reduce incident evidence collection time by up to 50%. This could accelerate insurance claim processes, potentially saving an estimated $200K/year (AI est.) in administrative costs. Furthermore, it could contribute to increased driver safety awareness, leading to reduced accident rates and enhancing overall corporate brand value and long-term competitiveness.
Patent Record
APPLICATION NO.
特願2020-063431
REGISTRATION NO.
7570086
FILING DATE
2020/03/31
GRANT DATE
2024/10/10
EXPIRATION DATE
2040/03/31
PATENT HOLDER
株式会社ユピテル
Examination History
2023年01月30日
出願審査請求書
2024年02月06日
拒絶理由通知書
2024年03月29日
意見書
2024年03月29日
手続補正書（自発・内容）
2024年06月18日
拒絶理由通知書
2024年08月15日
意見書
2024年08月15日
手続補正書（自発・内容）
2024年09月03日
特許査定