Market Context — Why This Technology, Why Now

The global push for safer, more efficient mobility services is intensifying. Regulatory bodies worldwide are implementing stricter guidelines for passenger transport, particularly concerning child safety and unattended passenger incidents. Concurrently, consumer expectations for secure and reliable shared mobility are rising. This technology directly addresses these pressures by automating critical safety checks and streamlining fleet management, offering a scalable solution for operators facing increasing operational complexities and liability concerns.

Key Competitive Advantages
01

Achieves high-precision unattended child detection, reducing false alarms by integrating with facility entry data to consider actual arrivals, thereby lowering operational burden.

02

Enables centralized management of multiple vehicles and booking information, integrating individual vehicle camera data with booking details to enhance operational efficiency for large mobility fleets.

03

Optimizes camera control based on vehicle user status and actions, efficiently collecting only necessary information to balance privacy considerations with data volume reduction.

Market Opportunity
Shuttle and Bus Services
$1.5B–$2.5B globally (AI est.)
Ensuring safety in shuttle buses for elderly care facilities, kindergartens, and schools is a critical concern, with rapidly increasing demand for unattended child prevention.
Elderly care transport providers School bus operators Childcare facility transport services Public transit authorities
Rideshare and Taxi Services
$1B–$2B globally (AI est.)
With increasing multi-passenger use in rideshare and taxi services, there is a growing need for efficient passenger boarding/alighting confirmation, lost item prevention, and emergency situation assessment.
Major rideshare platform operators Taxi fleet management companies Autonomous vehicle developers Corporate car-sharing providers
Tourism and Hotel Shuttles
$0.5B–$1B globally (AI est.)
As inbound tourism recovers, advanced multilingual support, passenger safety, and lost item management are becoming crucial for tour buses and hotel shuttle services.
Hotel chains with shuttle services Tour bus operators Airport transfer service providers Cruise line shuttle services
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an information processing system that combines multiple core technologies: in-vehicle camera control based on user status/actions and video data management integrated with external booking information. Its claims clearly define functions for specific problem-solving, such as unattended child verification linked with facility entry data, ensuring a strong, defensible scope and high practical utility.

Competitive White Space

White space exists in developing advanced predictive analytics for vehicle maintenance based on operational data, or integrating this system with broader smart city infrastructure for dynamic traffic management. Licensees could also explore personalized in-vehicle services beyond safety, leveraging the user status detection.

Economic Impact
~$1M/year estimated accident risk reduction and efficiency gains per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an average loss of ~$330K (AI est.) per unattended child incident (including compensation, brand damage, operational halts), this technology could reduce incident probability from 3 cases/year to 0. Additionally, it could reduce labor costs for manual multi-vehicle checks (estimated at ~$3.5K/vehicle/year for 100 vehicles, totaling ~$350K/year) by 20%. This projects a total annual economic impact of ~$1M (AI est.).

Speed to Market
6× faster than in-house development
This technology benefits from established logic for vehicle user status/action detection, external booking information interface design, and video data management architecture. The patent specification details specific control flows and system configurations, suggesting easy integration into existing in-vehicle systems and cloud platforms. This significantly shortens development time compared to building a similar system from scratch, enabling rapid market entry and minimizing development risk.
Competitive Positioning

X: Operational Efficiency
Y: Safety Management Precision

Business Models & Applications
📹 SaaS Monitoring Platform
Offers a cloud-based platform integrating vehicle monitoring and fleet management functions for mobility service providers, available on a monthly subscription basis.
🔌 Mobility Integration API
Provides this technology's video control and data linkage functions as an API to existing fleet management systems and MaaS platforms, supporting feature expansion.
🏢 Custom Solution Development
Develops and implements customized safety management solutions based on this technology, tailored to the specific needs of industries (e.g., hospital shuttles, elderly care transport).
Adjacent Application Opportunities
🏥 Healthcare & Elderly Care Facilities
In-Facility Patient & Resident Monitoring System
Applying the 'status/action detection' and 'external linkage' elements of this technology, it could be used for wandering prevention, fall detection, and early anomaly detection for patients and elderly residents within facilities. It has the potential to build a more comprehensive monitoring system by integrating with entry/exit information and activity history data.
🎓 Educational Institutions
School Bus Safety & Excursion Monitoring
This technology could enhance school bus safety management, ensuring thorough child boarding/alighting confirmation and unattended child prevention. It could also be repurposed as a system to strengthen safety management during excursions or extracurricular activities by coordinating with chaperones to track student assembly and dismissal status.
📦 Logistics & Warehousing
In-Premise Vehicle Safety & Operations Management
Applicable to monitoring the operation of forklifts and Automated Guided Vehicles (AGVs) within logistics warehouses, detecting interference with worker pathways to prevent accidents. By integrating with inbound/outbound data and inventory management systems, it could enable safer and more efficient in-premise logistics.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Requirements Definition & System Design
Duration: 3 months
Define integration requirements with the licensee's existing systems and design the incorporation of this technology's system architecture. Finalize functional specifications based on use cases.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype of key functions based on the design. Conduct validation through pilot testing in a limited environment to verify functionality and performance. Optimize the system based on feedback.
Phase 3: Production Deployment & Operation Optimization
Duration: 3 months
Deploy the validated system into the production environment and commence operations. Continuously improve and optimize the system through post-deployment data collection and analysis to maximize its effects.
Technical Feasibility
This technology is structured as an information processing system and program, estimated to be deployable using existing in-vehicle cameras, sensors, and cloud infrastructure. The patent specification outlines specific technical elements for vehicle status/action detection and external booking information acquisition. High compatibility with existing fleet management and facility booking systems is expected through generic API integration and data format conversion. This approach avoids extensive hardware modifications, relying on software updates or middleware implementation, thus presenting low technical hurdles.
Success Scenario
Upon implementation, this technology could virtually eliminate the risk of unattended child incidents in shuttle buses and rideshare services. This is estimated to significantly enhance peace of mind for parents and users, contributing to improved service brand value. Furthermore, by eliminating manual verification tasks, it is expected to reduce the workload for drivers and operations managers by 20% annually, leading to a more efficient operational structure.
Patent Record
APPLICATION NO.
特願2022-166653
REGISTRATION NO.
7289165
FILING DATE
2022/10/18
GRANT DATE
2023/06/01
EXPIRATION DATE
2042/10/18
PATENT HOLDER
株式会社ユピテル
Examination History
2022年10月18日
出願審査請求書
2022年10月18日
早期審査に関する事情説明書
2022年11月15日
拒絶理由通知書
2022年11月15日
早期審査に関する通知書
2022年11月18日
手続補正書（自発・内容）
2022年11月18日
意見書
2022年12月08日
拒絶理由通知書
2023年02月06日
手続補正書（自発・内容）
2023年02月06日
意見書
2023年04月25日
特許査定