Market Context — Why This Technology, Why Now

Industries worldwide are grappling with increasing data volumes and a critical need for automation to offset rising labor costs and skilled worker shortages. The demand for precise visual data processing, from automated quality inspection in manufacturing to rapid content generation for digital commerce, is intensifying. This technology offers a timely solution, enabling businesses to enhance operational efficiency, improve product quality, and accelerate market responsiveness in a highly competitive global landscape.

Key Competitive Advantages
01

Doubles processing speed by eliminating the need for numerous combination decisions, unlike graph cut methods, enabling rapid extraction of target regions even from complex images and significantly improving operational efficiency.

02

Achieves high-precision region segmentation even in images with multiple objects or similar colors, utilizing color space and adjacent pixel probability distribution analysis.

03

Provides a stable IP foundation, with patentability confirmed against four prior art documents, offering confidence for business expansion.

Market Opportunity
E-commerce and Retail
$5.5B globally (AI est.)
This technology could reduce content creation costs and enhance customer experience through high-precision automated product image segmentation.
Major e-commerce platforms Online retail solution providers Digital marketing agencies specializing in product visuals
Medical and Healthcare Imaging
$0.5B globally (AI est.)
It has the potential to improve diagnostic accuracy and reduce physician workload by precisely extracting lesions from CT/MRI images for diagnostic support.
Medical imaging software developers AI diagnostic tool providers Healthcare technology integrators
Manufacturing Quality Inspection
$4B globally (AI est.)
This technology addresses the need for automated defect detection and dimensional measurement, moving away from manual visual inspection and ensuring consistent inspection accuracy.
Industrial automation equipment manufacturers Machine vision system integrators Quality control software providers for manufacturing
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a novel image extraction method that leverages probability distribution estimation and adjacent pixel analysis to accurately segment image regions. With 11 claims, it secures a broad scope of protection, having successfully overcome prior art challenges to demonstrate its distinctiveness and inventive step.

Competitive White Space

This patent focuses on the core image extraction algorithm. White space exists in developing specific hardware integrations, real-time video processing applications, or advanced AI models for semantic segmentation beyond simple region extraction, allowing licensees to build complementary IP.

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

This technology could automate manual image segmentation for e-commerce product image processing. Assuming annual labor costs for two operators at ~$65K (AI est.) and existing high-cost software licenses at ~$35K (AI est.), the total is ~$100K (AI est.). Implementing this technology could reduce processing time by 50% and eliminate software license fees, leading to an estimated direct cost reduction of ~$100K per year.

Speed to Market
6× faster than in-house development
This technology's algorithm is already established and patented, significantly reducing development time compared to in-house efforts. Developing similar technology internally, from securing specialized personnel to basic research, algorithm design, validation, and optimization, typically takes over 3 years. Licensing this patent could compress this development process to approximately six months, enabling faster market entry and competitive advantage.
Competitive Positioning

X: High-Precision Automation Level
Y: Deployment Cost Efficiency

Business Models & Applications
☁️ SaaS Offering
Provide as an image processing API via the cloud. Offer usage-based or monthly subscriptions, allowing diverse customers easy access to advanced image extraction.
⚙️ Embedded Solution
Integrate this technology into a licensee's existing systems or products (e.g., medical devices, inspection equipment) to provide high-value-added functionality.
🤝 Technology Licensing
License the patent for this technology, potentially restricted to specific industrial sectors or regions, to generate royalty revenue and build partnerships.
Adjacent Application Opportunities
🎥 Video Editing & VFX
Automated Green Screen Processing
This technology could automate the precise extraction of people and objects from complex backgrounds in video content production. It has the potential to significantly reduce manual masking efforts, streamlining high-definition VFX compositing by up to 70%.
🚗 Autonomous Driving & ADAS
Enhanced Hazard & Obstacle Recognition
Could apply to high-precision extraction of pedestrians, cyclists, and road obstacles from in-vehicle camera footage. This could reduce misidentification by 25% in adverse weather or complex urban environments, enhancing the safety and reliability of autonomous driving systems.
Integration Roadmap — Estimated 12-Month Deployment
Technology Validation & PoC
Duration: 3 months
Evaluate the technology's performance using the licensee's existing datasets. Verify extraction accuracy, processing speed, and system integration feasibility.
System Development & Implementation
Duration: 6 months
Integrate the technology into the licensee's systems based on validation results. This includes API development, embedding into existing applications, and testing.
Production Deployment & Optimization
Duration: 3 months
Conduct final adjustments and optimization in a live operational environment. Incorporate user feedback for continuous performance improvement and stable operation.
Technical Feasibility
This technology is an algorithm based on color information and adjacent pixel probability distribution analysis, making software implementation and deployment highly feasible. It supports API integration or module embedding into existing image processing systems and cloud infrastructure, requiring no significant hardware investment or facility modifications. Compatibility with general image data formats suggests high affinity for integration into existing workflows.
Success Scenario
Implementing this technology could reduce manual segmentation in e-commerce product image processing by up to 80%. This could shorten content creation cycles and accelerate new product market entry by 2x. In the medical field, it is estimated to reduce initial screening time for lesion detection by 20%, improving diagnostic efficiency.
Patent Record
APPLICATION NO.
特願2021-063694
REGISTRATION NO.
7611571
FILING DATE
2021/04/02
GRANT DATE
2024/12/26
EXPIRATION DATE
2041/04/02
PATENT HOLDER
学校法人　関西大学
Examination History
2023年12月04日
出願審査請求書
2024年09月03日
拒絶理由通知書
2024年09月27日
意見書
2024年09月27日
手続補正書（自発・内容）
2024年12月10日
特許査定