Market Context — Why This Technology, Why Now

The accelerating global trend towards Industry 4.0 and smart automation demands sophisticated, data-driven insights across all operational layers. Companies are investing heavily in AI and computer vision to overcome labor shortages, enhance quality control, and optimize processes. This technology aligns perfectly with this shift, offering a robust framework for automating complex behavioral analytics, thereby reducing human error, improving response times, and unlocking new levels of efficiency and predictive capabilities in diverse industrial and service sectors.

Key Competitive Advantages
01

Expands Application Scope with High Versatility

02

Reduces Costs and Workload Through Automation

03

Accelerates Data-Driven Decision Making

Market Opportunity
Agriculture & Livestock DX
$300M–$400M globally (AI est.)
Needs are expanding for health management and optimal breeding environments through livestock behavior analysis, and for promoting precision agriculture via crop growth monitoring.
Smart farming solution providers Livestock management system developers Agricultural equipment manufacturers
Factory & Logistics Automation
$500M–$600M globally (AI est.)
Contributes to smart factory initiatives by improving productivity through worker movement analysis, detecting human errors, and optimizing automated guided vehicles.
Industrial automation integrators Logistics robotics developers Smart factory solution providers
Healthcare & Nursing Care
$150M–$250M globally (AI est.)
Contributes to enhancing the quality of patient monitoring and personalized care, including monitoring behavioral changes in patients or care recipients, predicting fall risks, and measuring rehabilitation effectiveness.
Medical device manufacturers Elderly care technology providers Hospital management system developers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a versatile system for automated behavioral analysis from images, covering detection of individuals, localization of body parts, acquisition of time-series movement data, and subsequent behavioral pattern analysis. The 12 claims cover diverse aspects of the technology, demonstrating strong originality and inventiveness even after overcoming a rejection based on three prior art documents.

Competitive White Space

This patent primarily covers video-based behavioral analysis. White space exists in integrating this analysis with non-visual sensor data for holistic monitoring, or developing active intervention systems that respond to detected behaviors.

Economic Impact
~$150K/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

In livestock farming, assuming a skilled worker monitors and records multiple animals. If the annual labor cost per worker is ~$35K (AI est.) and this technology automates the monitoring tasks of 4 workers, the annual cost reduction could be ~$150K (AI est.) ($35K/worker × 4 workers). Additional benefits may include loss reduction from early anomaly detection.

Speed to Market
6× faster than in-house development
This technology features a modular architecture encompassing image acquisition, individual detection, body part localization, time-series information acquisition, and behavioral analysis, with established foundational technologies for each function. This could significantly reduce development time by approximately 2.5 years compared to developing an equivalent system from scratch. Integration with existing image recognition systems and camera infrastructure is anticipated, allowing for rapid market entry and service launch after a validation and adjustment phase for specific application areas.
Competitive Positioning

X: Application Versatility
Y: Analysis Accuracy & Automation Level

Business Models & Applications
📊 Behavioral Data Analytics SaaS
Offer this technology as a cloud-based behavioral data analytics service. Licensees could leverage diverse individual behavior analysis features with reduced upfront investment via a monthly subscription model.
🤝 Technology Licensing
License the core algorithms and modules of this technology to solution development companies in specific fields. This enables integration into licensee products and services, creating new value.
💡 Joint Development & System Integration
Collaborate with companies possessing specific industry expertise to integrate this technology into existing systems or hardware. Offer customized, high-value solutions to establish market leadership.
Adjacent Application Opportunities
🏃 スポーツ・フィットネス
Athlete Form Analysis & Performance Enhancement
A system that analyzes athlete body movements from camera footage to automatically generate feedback for training form correction and performance improvement. This could reduce injury risk by up to 20% and accelerate skill acquisition.
👮 防犯・監視
Automated Suspicious/Abnormal Behavior Detection
A system that detects abnormal behavior patterns like suspicious loitering, intrusion, or destructive acts from surveillance camera footage in public spaces or critical infrastructure, issuing real-time alerts. This could enhance security levels by 30-50% and significantly reduce monitoring personnel workload.
🤖 ロボティクス
Collaborative Robot Optimization & Safety Management
A system that analyzes the movements of collaborative robots in factories to reduce interference risks with human workers and suggest more efficient operational paths. This could improve robot safety by 25% and optimize overall production line efficiency.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technical Feasibility & Requirements Definition
Duration: 3 months
Evaluate the technology's compatibility with the licensee's existing systems, target subjects, and environment, then define specific requirements. Develop a Proof of Concept (PoC) plan.
Phase 2: Prototype Development & PoC Execution
Duration: 6 months
Develop a prototype utilizing the core functions of this technology based on defined requirements. Execute a PoC in a real-world environment to evaluate performance and gather feedback.
Phase 3: Production System Deployment & Optimization
Duration: 9 months
Integrate PoC results and proceed with system deployment into the production environment. After deployment, continuously collect and analyze data to optimize system operations and expand functionalities.
Technical Feasibility
This technology features an architecture that can easily integrate with existing surveillance camera systems and image input devices. Each functional module described in the claims (image acquisition, individual detection, body part localization, time-series information acquisition, and behavioral analysis) is highly independent, making integration into a licensee's existing systems relatively straightforward. It also exhibits high compatibility with general-purpose image processing libraries and AI frameworks, indicating that implementation via software updates or add-ons is technically feasible without requiring significant capital investment.
Success Scenario
If a licensee utilizes this technology, for example, in livestock farms, it could enable real-time detection of abnormal animal behavior, allowing for early disease detection and response. This is estimated to reduce livestock mortality by up to 15% and increase annual productivity by 5%. In factories, it could identify inefficient worker movements, improving production efficiency by approximately 10% through layout improvements and optimized work procedures.
Patent Record
APPLICATION NO.
特願2024-150845
REGISTRATION NO.
7779568
FILING DATE
2024/09/02
GRANT DATE
2025/11/25
EXPIRATION DATE
2044/09/02
PATENT HOLDER
国立研究開発法人農業・食品産業技術総合研究機構
Examination History
2024年09月02日
出願審査請求書
2025年06月03日
拒絶理由通知書
2025年07月22日
意見書
2025年07月22日
手続補正書（自発・内容）
2025年10月21日
特許査定