Market Context — Why This Technology, Why Now

The proliferation of remote work and IoT devices has expanded enterprise attack surfaces, making traditional perimeter security insufficient. Regulatory pressures like GDPR and CCPA mandate stringent data protection, pushing companies to adopt more robust, identity-centric security measures. This technology's ability to identify intruders and integrate with existing systems positions it as a timely solution for organizations seeking to mitigate escalating cyber risks and ensure compliance in a distributed digital environment.

Key Competitive Advantages
01

Identifies Unauthorized Accessors: Records facial images of unauthorized access attempts upon biometric authentication failure, enabling identification for post-incident investigation. This enhances data leak prevention beyond simple lock functions.

02

Provides Robust Multi-Layered Defense: Combines decoy password inducement with biometric authentication to detect unauthorized access attempts early, significantly elevating security levels beyond conventional single-factor authentication.

03

Offers High Compatibility with Existing Systems: Easily implementable via software updates or module additions on information devices equipped with cameras and biometric functions, minimizing large-scale capital expenditure.

Market Opportunity
Enterprise Security
$5B–$10B globally (AI est.)
Demand is rising for protecting confidential information and preventing employee misuse across corporate IT systems, PCs, and tablets.
Large enterprise IT departments Cybersecurity solution providers Managed security service providers
IoT Device Security
$10B–$20B globally (AI est.)
Strengthening authentication for distributed devices like smart home appliances and industrial IoT terminals, and protecting against cyberattacks, are urgent priorities.
Smart device manufacturers Industrial control system vendors IoT platform developers
Financial and Healthcare Institutions
$500M–$1B globally (AI est.)
Strict regulatory compliance and the highest level of security are consistently required for devices handling customer and patient data.
Financial technology providers Healthcare IT system integrators Medical device manufacturers
Educational Institutions
$500M–$1B globally (AI est.)
Protecting personal information and research data for students and faculty, along with supporting diverse devices, makes reducing data leakage risk a critical concern.
EdTech solution providers University IT departments Campus security system vendors
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent, with 15 claims, establishes a robust defense against unauthorized access by identifying intruders via biometric authentication and recording their images. It successfully navigated two office actions and seven prior art references, confirming its technical superiority and stability against invalidation.

Competitive White Space

This patent primarily focuses on biometric identification for access control. It does not explicitly cover advanced threat detection beyond initial access, such as network intrusion prevention or data encryption methods, offering white space for licensees to develop complementary IP.

Economic Impact
~$1.0M/year estimated data breach risk reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an average data breach cost of ~$4.3M (AI est.) per incident, this technology could reduce the success rate of unauthorized access by ~20%. Avoiding just one incident annually could prevent ~$0.85M (AI est.) in direct damages. Including intangible benefits like brand protection and compliance, the total economic impact could reach ~$1.0M (AI est.) per year.

Speed to Market
4× faster than in-house development
This technology's unauthorized access prevention algorithm and biometric authentication logic are already established and patented, allowing licensees to bypass a significant portion of the R&D phase. It leverages existing cameras and biometric modules in information devices, minimizing the need for new hardware development. With proof-of-concept likely complete, adopting companies can focus on compatibility testing and interface development, significantly accelerating time-to-market.
Competitive Positioning

X: Unauthorized Accessor Identification Capability
Y: Robustness of Multi-Layered Defense

Business Models & Applications
🔑 Software Licensing
Provide software licenses for companies to integrate this technology into their products (smartphones, PCs, IoT devices). Royalty revenue based on unit usage is envisioned.
📦 Security Module Provision
Offer this technology as a pre-integrated security module for information device manufacturers to embed in their products. This could simplify hardware integration and lower adoption barriers.
☁️ SaaS-based Authentication & Monitoring
Deliver as a cloud-based authentication and monitoring service. A monthly subscription model could target a wide range of customers, from SMEs to large enterprises, securing recurring revenue.
Adjacent Application Opportunities
🏠 スマートホーム
Intruder Detection and Recording System
Integrates with smart home devices (smart locks, security cameras) to record facial images when unregistered individuals attempt to access specific areas. This could enhance family safety and aid in identifying intruders.
🏭 産業用IoT
Industrial Equipment Access Control and Anomaly Monitoring
Applies to control panels of critical factory equipment and industrial robots. It could mandate biometric authentication for authorized operators, automatically recording faces during abnormal operations, thereby ensuring both security and operational safety.
🚗 車載システム
Vehicle Anti-Theft and Unauthorized Use Prevention
Integrates into in-vehicle infotainment systems or ignition to restrict vehicle startup by unregistered drivers. It could record facial images of those attempting theft or unauthorized use, enhancing vehicle security.
Integration Roadmap — Estimated 22-Month Deployment
Phase 1: Technical Compatibility Verification
Duration: 4 months
Verify the basic functions (biometric authentication, image recording) of this technology for compatibility with the licensee's existing information device hardware (camera, CPU) and OS environment.
Phase 2: Prototype Development and Evaluation
Duration: 9 months
Based on verification results, develop a prototype implementing this technology for specific information devices. Evaluate security functions, performance, and stability in a real-world environment.
Phase 3: Production Deployment and Optimization
Duration: 9 months
Following prototype evaluation, proceed with deployment to the production environment, optimizing functions and strengthening integration with security policies based on operational data.
Technical Feasibility
This technology is designed to maximize the use of existing camera, memory, and processing capabilities in information devices. Claims include the possibility of implementing biometric authentication and decoy password generation purely in software, enabling deployment via software updates or module additions without significant hardware changes. Based on general-purpose image processing and biometric algorithms, it avoids expensive specialized components, indicating very high technical feasibility.
Success Scenario
Implementing this technology could enable real-time detection and prevention of unauthorized access attempts on employee mobile devices and internal information systems. This is estimated to reduce the probability of data leakage incidents by up to 30%. Furthermore, automatically recording image data of unauthorized access attempts could improve security audit efficiency and shorten incident investigation times by approximately 20%.
Patent Record
APPLICATION NO.
特願2020-043047
REGISTRATION NO.
6809741
FILING DATE
2020/03/12
GRANT DATE
2020/12/14
EXPIRATION DATE
2040/03/12
PATENT HOLDER
福田　博美
Examination History
2020年03月16日
出願審査請求書
2020年03月16日
早期審査に関する事情説明書
2020年06月03日
早期審査に関する報告書
2020年06月10日
拒絶理由通知書
2020年07月27日
手続補正書（自発・内容）
2020年07月27日
意見書
2020年09月08日
手続補正指令書（中間書類）
2020年09月14日
手続補正書（自発・内容）
2020年10月14日
審査状況伺回答書
2020年11月10日
拒絶理由通知書
2020年11月13日
手続補正書（自発・内容）
2020年12月02日
特許査定