Market Context — Why This Technology, Why Now

The increasing demand for cold chain logistics and automation across industries is driving the need for robust, intelligent monitoring solutions. Companies face pressure to improve operational safety, reduce costs, and enhance data-driven decision-making in challenging environments. This technology directly supports these trends by providing a reliable, efficient, and smart vision system that can operate where conventional solutions fail, enabling businesses to meet regulatory demands and optimize their global operations.

Key Competitive Advantages
01

Ensures high-reliability recording in harsh environments by detecting temperature changes and preventing lens fogging with a heating function, capturing clear images consistently.

02

Maximizes data efficiency with event-linked recording, significantly reducing data volume by recording detailed images only during events (e.g., temperature changes) and coarser data otherwise, potentially cutting storage costs by ~65%.

03

Establishes uniqueness in a competitive market by overcoming multiple rejections and securing patent rights despite 15 cited prior art documents, demonstrating clear differentiation from existing technologies.

Market Opportunity
Cold and Refrigerated Warehouses
$350M globally (AI est.)
The expansion of cold chain logistics is rapidly increasing the need for operational safety and efficiency in low-temperature environments, which this technology could address.
Cold chain logistics operators Refrigerated warehouse automation providers Food and pharmaceutical storage companies
Industrial Vehicle Manufacturers
$2B globally (AI est.)
Standard integration into industrial vehicles like forklifts and AGVs could enhance product value and strengthen safety features.
Forklift and AGV manufacturers Industrial equipment OEMs Material handling solution providers
Construction and Civil Engineering
$150M globally (AI est.)
This technology could be applied to monitoring and recording systems for heavy machinery in outdoor construction and civil engineering sites, adapting to weather and environmental changes, creating new market opportunities.
Heavy equipment manufacturers Construction site monitoring solution providers Infrastructure maintenance companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a robust system and program for acquiring image data, specifically focusing on event-triggered recording and lens defogging in harsh environments. It covers the core elements of detecting external event information and controlling image data storage around the event time, ensuring high reliability and data efficiency.

Competitive White Space

Adjacent areas not explicitly covered include advanced AI-driven predictive analytics based on the recorded data, integration with broader smart factory ecosystems, and novel sensor fusion techniques beyond temperature for event detection.

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

Assuming deployment on 100 forklifts in a large-scale logistics center. Compared to conventional continuous high-resolution recording systems, data storage costs could be reduced by ~$65K/year (AI est.). Additionally, shortening accident investigation time by 20% is estimated to improve operational efficiency by ~$35K/year (AI est.). This totals an estimated annual operational cost reduction of ~$100K (AI est.).

Speed to Market
4× faster than in-house development
The core event detection algorithm and fog prevention function concepts are established as patented technology, indicating high technical feasibility. Specifically, concrete functions like temperature-triggered event detection and heating for defogging are clearly defined, eliminating the need for licensees to conduct research and development from scratch. This could significantly shorten prototype development and validation periods, reducing time to market by approximately 2.7 years.
Competitive Positioning

X: Data Management Efficiency
Y: Environmental Adaptability & Robustness

Business Models & Applications
🤝 Licensing Model
Granting implementation rights to industrial vehicle manufacturers or logistics system integrators enables rapid market deployment through integration into existing products.
📊 Data Analytics SaaS Integration Model
Integrating with a SaaS platform that collects and analyzes event data from this technology could offer accident analysis, operational efficiency improvements, and predictive maintenance services to licensees.
⚙️ Custom Solution Provision Model
Developing and deploying customized monitoring and recording systems, with this technology at its core, for specific logistics or manufacturing companies, and supporting their operations.
Adjacent Application Opportunities
🛰️ Drones & UAVs
All-Weather Inspection & Monitoring Systems
Integrating this technology into drones could enable high-precision infrastructure inspection and disaster monitoring in adverse weather or low-temperature conditions by preventing lens fogging. The event detection feature could automatically record anomalies, potentially enhancing the efficiency of wide-area surveillance by 30%.
🚗 Autonomous Vehicles
Harsh Environment Edge Sensing
Applying this technology to external sensors in autonomous vehicles could maintain clear image data during poor visibility caused by snow, rain, or rapid temperature changes. Event detection could enable early recognition of hazardous situations, potentially improving safety by 25% and supporting reliable autonomous operation.
農業・畜産業
Smart Agriculture Environmental Monitoring
Deployed on agricultural machinery in greenhouses or outdoors, this system could detect and automatically record temperature changes or specific events (e.g., pest outbreaks, watering times). The lens defogging function could ensure stable monitoring in outdoor environments, potentially boosting crop yield by 10-15% through optimized interventions.
Integration Roadmap — Estimated 15-Month Deployment
Requirements Definition & PoC
Duration: 3 months
Define integration requirements with existing licensee systems and validate the core functions (event detection, defogging, recording) of this technology in a limited environment.
Prototype Development & System Integration
Duration: 6 months
Based on PoC results, develop a prototype for integration into the licensee's forklifts and management systems, and integrate with existing infrastructure.
Validation & Optimization
Duration: 6 months
Conduct validation operations in actual field environments to evaluate performance and gather feedback. Strengthen integration with data analytics platforms and optimize the overall system.
Technical Feasibility
This technology is composed of general-purpose hardware components such as an imaging unit, temperature measurement unit, storage unit, and control unit, making it relatively easy to retrofit onto existing forklifts and industrial vehicles or integrate into new models. Event detection triggered by temperature changes is achievable through software control, and API integration with existing vehicle control systems or monitoring systems suggests low technical integration hurdles.
Success Scenario
Implementing this technology could reduce accident risks in forklift operations within cold storage facilities by 20%. Accurate recording during events could halve the time required for root cause analysis, accelerating insurance claims and the development of recurrence prevention measures. This is estimated to potentially reduce liability risks and operational costs by millions of dollars annually.
Patent Record
APPLICATION NO.
特願2021-000710
REGISTRATION NO.
7250364
FILING DATE
2021/01/06
GRANT DATE
2023/03/24
EXPIRATION DATE
2041/01/06
PATENT HOLDER
株式会社ユピテル
Examination History
2021年02月02日
出願審査請求書
2021年02月02日
手続補正書（自発・内容）
2021年08月10日
手続補正書（自発・内容）
2022年03月23日
拒絶理由通知書
2022年05月23日
意見書
2022年05月23日
手続補正書（自発・内容）
2022年10月04日
拒絶理由通知書
2022年11月15日
手続補正書（自発・内容）
2022年11月15日
意見書
2023年02月14日
特許査定