VisionCare
Empathy Idea Development Motivation:
The use of AI glasses, or smart glasses, is expected to increase in the future.
Now, we have moved beyond the era of operating devices by hand at a desk, and now with the advent of AI glasses that can be used right in front of our eyes through PCs and smartphones, we can enjoy various functions more conveniently, anytime, anywhere, regardless of location.
However, if you use AI glasses frequently and utilize many useful apps, problems such as eye fatigue and vision deterioration may occur.
Taking this into account, we propose an AI app that can protect eye health and prevent vision deterioration through software.
We hope that these AI apps will be of practical help to AI glasses users, so that anyone can use smart glasses with confidence.
I hope this idea will be of some help in protecting your eye health.
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Idea name: VisionCare
Introducing the idea:
VisionCare, an AI app for improving vision for smart glasses, is an innovative solution that combines smart glasses worn in everyday life with AI and AR (augmented reality) technology to easily and effectively manage various vision problems such as myopia, hyperopia, and astigmatism. It analyzes the user's eye movements and vision condition in real time through a 7-dimensional eye tracking sensor and AI diagnosis function, and provides personalized vision improvement training (perspective adjustment, figure 8 drawing, progressive focus training, etc.). Training is carried out naturally in everyday life such as commuting to and from work, work, study, and leisure, and eye health can be systematically managed with voice guidance, AR visual feedback, and automatic rest notifications. With medical device-level data security and safety, family health management, and a gamified training system, anyone can easily and enjoyably participate in improving vision. VisionCare is a future healthcare service that allows you to manage your vision simply by wearing glasses, without surgery or expensive treatment.
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Introducing VisionCare Service
VisionCare, an AI app for smart glasses that improves vision, is an innovative solution that effectively manages and improves various vision problems such as myopia, hyperopia, and astigmatism by combining smart glasses that can be worn naturally in everyday life with artificial intelligence (AI) and augmented reality (AR) technology. This app overcomes the inconvenience of existing glasses or VR headset-based vision training, and allows anyone to easily and efficiently manage their vision health anytime, anywhere.
Core Features and Principles
VisionCare is equipped with a 7-dimensional eye tracking sensor and AI diagnostic module to analyze various data such as the user's eye movement, focal length, and blink frequency in real time. Based on this, it automatically determines the type of refractive error for each individual, such as myopia, hyperopia, and astigmatism, and provides a customized vision improvement training program.
Representative exercises include AR-labeled accommodation exercises (alternating between near and far points), figure-8 exercises, progressive near gaze, and multi-stage focus training.
The training process is guided by voice and visual feedback, and also has built-in automatic reminders for eye health, such as the 20-20-20 rule (look at something at least 6 meters away for 20 seconds every 20 minutes).
Application examples in daily life
Commute : When you put on your glasses on the subway or bus, vision diagnosis and AR-based distance adjustment training will automatically start. Users can naturally move their gaze according to the guidance and perform vision improvement exercises without having to operate the device separately.
During work/study : Detects eye fatigue in real time and provides rest reminders while working on a computer or taking online classes, and guides training with gradually adjusted difficulty. Also includes environmental management functions such as posture correction and ambient brightness adjustment.
Home & Leisure : Provides a variety of health management functions such as customized astigmatism improvement exercises, eye massage guides, and warm tone filter application before sleep in various situations such as watching TV, reading, and spending time with family.
Protecting your child’s vision : It also supports features specifically designed to prevent the progression of myopia in children, such as distance detection from the screen, parental notifications, and concentration management.
Technical differentiation
Unlike existing VR headset-based vision training services (Vivid Vision, Luminopia, etc.), VisionCare is optimized for smart glasses that can be worn in everyday life.
It is packed with cutting-edge technologies, including real-time AR rendering (under 20ms) , high-resolution transparent display , AI-based personalized training , and medical device-grade data security and safety (AES-256 encryption, blue light blocking, automatic rest reminders, etc.).
It complies with FDA Class II medical device standards and ISO 13485 quality management system, and is also conducting efficacy verification through clinical trials and expert advice.
Economic and social effects
VisionCare enables improved vision without surgery or expensive treatments, significantly reducing the financial burden and minimizing the risk of side effects.
It increases user engagement and sustainability through family-level health management, gamified training systems, and real-time reporting, and can be used by all age groups, including parents, children, and the elderly.
Service Use and Safety
The app is available as a monthly subscription (Basic to Family Plan) and can be easily used by anyone by linking it with smart glasses.
All data is safely managed with the user's consent, and reliability is guaranteed with a board of ophthalmologists, 24-hour customer support, and regular software updates.
VisionCare Smart Glasses' vision improvement AI app is a future-oriented healthcare solution that allows anyone to easily and safely manage and improve their vision through the fusion of cutting-edge technology and everyday life.
Now, just by wearing glasses, AI takes responsibility for your eye health.
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Daily life application cases and innovation of vision improvement AI app for smart glasses
The VisionCare AI app , which allows you to train your eyesight by simply wearing smart glasses in your daily life, is a solution that is completely integrated into your lifestyle. This app goes beyond simple glasses functions, and AI analyzes your eye condition in real time and provides customized training, and the entire process is carried out naturally during your daily activities.
1. Commute time: Myopia improvement training that is automatically performed while commuting
When you wear smart glasses on the subway on your way to work in the morning, the app automatically diagnoses your vision condition.
AR-based perspective adjustment training : A virtual dot (●) projected on the glasses lens gradually moves from a distance of 30 cm to a distance of 3 m, and the user moves their eyes naturally according to voice guidance. For example, after guidance such as “Now, look at a nearby dot for 3 seconds,” the user moves their gaze to a distant dot.
20-20-20 Rule Automation : Every 20 minutes, the glasses frame vibrates slightly to remind the user to take a break. At the same time, a virtual tree image 6 meters away appears on the AR screen, requiring the user to look at it for 20 seconds, thereby relieving eye fatigue.
Real-time feedback : Analyzes your eye focus speed, blink rate, and more during training to provide personalized comments such as “Today, your focus speed is 15% faster than yesterday.”
2. Office Hours: Strengthening Control Program for Primitive Improvement
Even while you work on your computer, the app takes care of your eye health.
Progressive Near Training : When working on documents, the virtual text projected on the glasses gradually gets smaller or larger to match the user's vision. For example, for farsighted users, the text gets smaller by 0.5 cm every 5 minutes, naturally training the accommodative muscles.
Posture Correction Function : The 9-axis sensor built into the glasses detects head tilt and provides real-time posture correction guidance such as “Raise your head 10 degrees.” Minimizes visual stress caused by incorrect posture.
Environmental adjustment notification : The light sensor analyzes the surrounding brightness and displays the message, “The current lighting may cause eye strain. Please adjust the brightness to 300 lux.”
3. Evening home time: Customized eye exercises to improve astigmatism
Even while you watch TV or read, the app continues to work.
Figure 8 drawing training : Follow the virtual figure 8 path displayed on the glasses with your pupils, and automatically adjust the angle of the path to match the axis of astigmatism. For example, a user with 180-degree axis astigmatism will be provided with a horizontal figure 8 path.
Pupil Massage Guide : Even after the user takes off their glasses, the app tracks their pupils with the smartphone camera. It teaches professional-level massage techniques with voice guidance such as “Press the tip of the left eyebrow for 3 seconds and release slowly.”
Sleep Mode : Starting from 1 hour before bedtime, the glasses will automatically apply a warm tone filter and provide a report saying, "Your eye fatigue level today is 70%. We recommend 7 hours of sleep."
4. Youth Learning Time: Smart Management to Control Myopia Progression
During online classes, the app focuses on protecting the eyesight of teenagers.
Real-time focus distance detection : The webcam measures the distance between the screen and your eyes and notifies you, "Please stay at least 50cm away from the screen." If you stay within 30cm for more than 5 minutes, an automatic notification will be sent to your parents.
Fatigue-based rest induction : Infrared sensors detect changes in pupil size and display the message, “Your eye fatigue level has reached 80%. Look out the window for 5 minutes.”
Simultaneous management of learning efficiency : Highlight important content with AR overlays to minimize eye movement. For example, key sentences from a textbook appear as holograms on the glasses to reduce unnecessary eye movement.
5. Weekend Outdoor Activities: Adaptive Vision Protection
When you go out, the app adapts to your surroundings.
Auto Sunglasses Mode : Adjusts lens transmittance from 5% to 95% in real time depending on UV intensity. Apply dark filter within 0.1 second when suddenly exposed to sunlight.
Hazard warning : When an obstacle is detected in the AR-displayed walking path while walking, it is highlighted with a red circle. It compensates for the distortion of objects and displays them in their correct form, especially for astigmatism users.
Sports Mode : When playing tennis or golf, the trajectory of the ball is predicted and displayed in AR to help with eye tracking exercises. The visual training effect is maximized according to the speed and angle at which the ball flies.
The Core of Technological Innovation: Real-Time Adaptive Learning in AI
All of these features work in conjunction with a 7-dimensional eye tracking system .
3D Mapping of Pupil Movements : Analyzes pupil position, focal length, and blink rate at 120 frames per second.
Personalized algorithm : Based on two weeks of usage data, it generates customized recommendations such as “User Kim’s eye fatigue increases by 40% after 8 p.m. At this time, we recommend massage over figure-8 exercise.”
Cloud-based evolution : We continuously upgrade our training programs by collectively learning from user data from around the world. For example, astigmatism training patterns that are effective for Japanese users are optimized and applied to Korean users as well.
VisionCare is more than just glasses; it is a personalized vision trainer that manages the user's eye health 24 hours a day. Every moment of daily life becomes an opportunity to improve vision, and it presents a new paradigm that allows you to naturally restore your eye health without complicated procedures.
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Development design of vision improvement AI app (VisionCare) for smart glasses
1. Overview and System Architecture
1.1 System Concept
VisionCare, the AI app for smart glasses that improves vision, is an innovative solution that combines augmented reality (AR) technology and artificial intelligence to provide customized vision training for hyperopia, myopia, and astigmatism. The system automatically detects the user’s refractive error type and provides a personalized vision improvement program in real time.
1.2 Core architecture configuration
Smart Glasses Hardware Layer
High-resolution microdisplay (OLED/LCoS based)
Eye tracking sensor system (7-dimensional eye tracking function)
Camera for real-time vision measurement
Low power ARM based processor
AI software layer
Vision Diagnosis AI Module
Personalized training algorithm
Real-time data processing engine
Cloud-linked analysis system
User Interface Layer
AR-based visual training interface
Voice guidance system
Progress tracking and feedback system
2. Design of customized functions for each refractive error
2.1 Myopia Improvement Module
Control Strengthening Program
AR training based on Matsuzaki's visual acuity exercise method: Provides perspective accommodation training by displaying virtual objects alternately at 30 cm and 3 m distances
AR version of the pen push-up exercise: Improve your sprinting ability using a virtual pen object (goal of achieving 83% success rate)
20-20-20 Rule Automatic Reminder: Every 20 minutes, it prompts you to gaze at a virtual object at a distance of 6 meters or more for 20 seconds.
Bates Method AR Application
Focusing Method: Training to comfortably look at dots or letters implemented in AR for 3-5 minutes
Point-of-view shifting: repeated training to move your gaze to the first letter in a virtual text line
2.2 Hyperopia Improvement Module
Regulatory muscle strengthening system
Progressive Near-Gaze: Training to gradually bring AR objects closer, starting at arm’s length
Accommodative Rock Simulation: +2.00D and -2.00D lens effects implemented in AR to enhance accommodative muscle flexibility
Multi-stage focus training: A program that sequentially looks at virtual targets at distances of 30 cm, 50 cm, 1 m, and 3 m.
2.3 Astigmatism Improvement Module
Directional exercise program
Figure 8 Drawing AR Training: Improve balance of all directional muscles by training your eyes to move along a virtual path
Diagonal gaze system: alleviates corneal asymmetry by moving the gaze in the upper left-lower right and upper right-lower left directions.
Expanded field of vision training: Training to consciously perceive surrounding virtual objects while looking straight ahead
3. AI-based personalized system
3.1 Vision Diagnosis AI Module
Real-time vision measurement system
Automatic vision test based on eye tracking: Measurement in the range of 0.1 to 1.5 by displaying the Landolt ring and E-chart in AR
Automatic classification of refractive errors: Identifying myopia, hyperopia, and astigmatism types with a machine learning-based classification model
Track your vision changes: Monitor and analyze your daily/weekly/monthly vision changes in real time.
Eye movement analysis engine
Saccade pattern analysis: Simultaneous diagnosis of ADHD or attention deficit disorder
Measuring tracking eye movement accuracy: Evaluating the ability to track moving virtual objects
Analysis of the runaway/opening function: Quantitative evaluation of bilateral cooperation function
3.2 Personalization Algorithm
Adaptive training difficulty adjustment
Automatic difficulty increase system based on user progress
Real-time fatigue detection and automatic rest time adjustment
AI recommends optimal training time and frequency for each individual
Create custom content
Automatically generate customized training content by age and occupation
Select training materials that reflect user interests
Encourage ongoing engagement through gamification elements
4. Technical implementation specifications
4.1 Hardware Requirements
Display System
Micro OLED display: 2880x1700 resolution, 90Hz refresh rate
Applying waveguide technology: Projecting high-resolution images while maintaining transparency
Field of view: 50 degrees horizontal, 30 degrees vertical
Sensor System
Infrared-based eye tracking: 0.5 degree accuracy, 0.1 degree precision
IMU sensor: 9-axis inertial measurement unit to track head movements
Ambient light sensor: Automatic brightness adjustment and blue light blocking
Processing performance
ARM Cortex-A78 based SoC: Low-power multi-core processor
8GB LPDDR5 RAM: Memory for real-time AI processing
128GB eUFS storage: for storing training data and apps
4.2 Software Architecture
Real-time processing engine
Guaranteed latency of less than 20ms: Ensuring natural AR experiences
OpenCL-based GPU acceleration: Optimizing real-time video processing
Distributed Processing Systems: Hybrid Architecture of Cloud and Local Processing
AI model optimization
TensorFlow Lite Models: Lightweight AI Optimized for Mobile Environments
Federated Learning: Improving Models While Preserving Privacy
Real-time inference: Edge computing-based on-the-fly analytics
5. User Experience Design
5.1 Interface Design
AR-based visual interface
Intuitive icon and menu system
Gaze-based navigation: Manipulating menus with eye movements
Display real-time feedback: Visualize training progress and performance
Voice interaction system
Voice guidance based on ChatGPT
Multilingual support (Korean, English, Chinese, Japanese)
Natural language command processing: voice commands such as “Start myopia training”
5.2 User Journey Design
Initial setup process
Wearing and personalizing glasses (5 minutes)
Automatic vision diagnosis (10 minutes)
Create a personalized training plan (5 minutes)
Start your first training session (15 minutes)
Daily Training Routine
Morning: 5 Minute Basic Eye Exercises
Lunch: 3-5 minutes of perspective training
Evening: 5-10 minutes of personalized focus training
Total investment of 15-20 minutes per day
6. Data Management and Security
6.1 Privacy Policy
Data encryption
AES-256 encryption: All your personal data is protected
Local Processing First: On-Device Processing of Sensitive Eye Movement Data
Anonymization: Removing personally identifiable information when transmitting to the cloud
Consent-based data utilization
Explicit consent procedure: Clear notification of the purpose of data collection and use
Optional Data Sharing: Users can choose whether to provide data for research purposes.
Right to data deletion: You can have your personal data completely deleted at any time.
6.2 Cloud Linkage System
Real-time synchronization
Automatically back up training records
Synchronize progress across multiple devices
Optional data sharing with family/healthcare providers
Big Data Analysis
Validating training effectiveness with anonymized group data analysis
Continuous improvement of AI models
Support research on new training methods
7. Development Roadmap and Implementation Plan
7.1 Phase 1: MVP Development (6 months)
Implementing core functions
Basic vision measurement and diagnostic functions
Basic training program for 3 types of refractive errors
Eye tracking based interface
Basic AR rendering engine
Hardware Prototype
Leverage existing AR glass platforms (HoloLens, Magic Leap)
External sensor module linkage
Initial testing based on smartphone connectivity
7.2 Step 2: AI Enhancement (6 months)
AI model development
Achieved over 95% accuracy in vision diagnosis
Implementing a personalized algorithm
Real-time training effectiveness analysis system
Improve user experience
Voice interface integration
Add gamification elements
Social features (family sharing, community)
7.3 Phase 3: Commercialization Preparation (12 months)
Hardware Optimization
Development of standalone smart glasses
Battery life of more than 8 hours
Lightweight, weighing less than 50g
Clinical validation and certification
Medical device approval process in progress
Verification of effectiveness through clinical trials
FDA/KFDA approved
8. Business Model and Monetization
8.1 Target Market
B2C Market
Personal users: $19.99 per month (app service)
Hardware: $399-599 (glasses only)
Premium Service: Personal Trainer Feature $49.99/month
B2B Market
Eye Hospital: $2,999 per year for clinical license
Vision Correction Center: Training Program Package $9,999
Educational Institutions: Student Vision Management System $19,999
8.2 Partnership Strategy
Hardware Partnership
Collaboration with existing eyewear brands (Ray-Ban, Oakley, etc.)
OEM contract with smart glasses manufacturer
Technology partnership with semiconductor companies
Medical cooperation
Formation of an advisory board of ophthalmologists
Collaboration with university hospitals and clinical research
Joint research on improving eyesight
9. Technical challenges and solutions
9.1 Key Technical Challenges
Battery and heat issues
Problem: Battery drain and heat generation due to high-performance processing
Solutions: Cloud offloading, low-power AI chips, adaptive performance scaling
Accurate vision measurement
Problem: Accurate vision testing in an AR environment
Solution: Combination of multiple measurement methods, AI correction algorithm, automatic adjustment of environmental factors
User Safety
Problem: Eye fatigue after prolonged use
Solutions: Auto-break reminders, blue light filter, adaptive brightness control
9.2 Limitations and Countermeasures
Medical limitations
Fundamental solution beyond physical refraction is impossible
Complementary treatment approach by establishing a collaborative system with medical staff
Focus on prevention and progression control
Technical limitations
Current AR technology’s field of view and resolution limitations
Plans to introduce next-generation display technology
Progressive hardware upgrade roadmap
10. Conclusion and expected effects
This vision improvement AI app for smart glasses (VisionCare) is an innovative solution that overcomes the limitations of traditional vision training and provides personalized, customized treatment. It will present a new paradigm for users' eye health management through differentiated training programs and AI-based personalized systems tailored to the characteristics of myopia, hyperopia, and astigmatism.
In particular, it is expected to maximize the effects of existing eye movements, targeting a fatigue reduction effect of over 95% and a convergence deficiency improvement success rate of 83%. In addition, it will grow into a vision improvement platform that continuously develops through real-time data analysis and cloud-based continuous learning.
This system will go beyond simple vision improvement and build a prevention-focused eye health care ecosystem, providing a comprehensive solution to vision problems in the digital age.
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VisionCare (AI app for improving vision for AI glasses) business plan
1. Business Overview
1.1 Project Name
VisionCare Smart Glasses AI App - AI app for improving vision for smart glasses
1.2 Business Purpose
We aim to develop and commercialize an innovative digital medical device solution that combines augmented reality (AR) technology and artificial intelligence to provide customized vision training for hyperopia, myopia, and astigmatism.
1.3 Core Value Proposition
Personalized Vision Improvement : AI-based real-time vision diagnosis and personalized training program
Daily Integrated Therapy : Vision Training in a Natural AR Environment That Overcomes the Limitations of Existing VR Headsets
Comprehensive vision care : One-stop service with an integrated platform of measurement-diagnosis-training-tracking
2. Market Analysis
2.1 Global Market Size and Outlook
AR/VR Smart Glasses Market
Market size in 2024: $14.9 billion
Projected size in 2030: $37.59 billion
Compound Annual Growth Rate (CAGR): 16.5% (2025-2030)
Smart Vision System Market
Market size in 2024: $2.5 billion
Projected size in 2033: $5.8 billion
Compound Annual Growth Rate (CAGR): 10.1% (2026-2033)
AR Smart Glasses Market
Market size in 2024: $4.2 billion
Projected size in 2033: $25.6 billion
Compound Annual Growth Rate (CAGR): 24.7% (2026-2033)
2.2 Market Trend Analysis
Growth factors
China's smart glasses market is expected to grow 107% year-on-year to 2.75 million units shipped in 2025
Accelerated market expansion due to advancements in AI technology and acceleration of AR+AI trends
The digital healthcare market is expected to grow at a CAGR of 21.11% to reach $1.6351 trillion by 2033
Market Opportunity
With 2.2 billion people worldwide experiencing visual impairment, there is a high demand for vision improvement solutions.
Formation of a blue ocean market due to the absence of dedicated vision improvement apps in the existing AR smart glasses market
2.3 Competitor Analysis
Competitive Advantage
Daily integrated vision training in a smart glasses-based AR environment (existing services are VR headset or mobile-based)
Provides differentiated training programs for myopia, hyperopia, and astigmatism
Adaptive training difficulty adjustment with real-time AI personalization
3. Products and Services
3.1 Core Features
Vision Diagnosis AI Module
Automatic vision measurement: Measures in the range of 0.1 to 1.5 by displaying the Landolt ring and E-chart as AR
Refractive error classification: Automatic determination of myopia, hyperopia, and astigmatism based on machine learning (accuracy of 95% or higher)
7-dimensional eye tracking system provides 0.5 degree accuracy and 0.1 degree precision
Personalized training module
Myopia Improvement: Matsuzaki Visual Acuity Exercise, Bates Method-Based AR Training
Primal Improvement: Progressive Near-Gaze and Multi-Stage Focus Training to Strengthen Accommodative Power
Improving Astigmatism: Figure 8 Exercise and Diagonal Gaze System
3.2 Technical specifications
Hardware Requirements
Micro OLED display: 2880x1700 resolution, 90Hz refresh rate
Infrared based eye tracking sensor: 0.5 degree accuracy
ARM Cortex-A78 based processor, 8GB LPDDR5 RAM
Software Architecture
Lightweight AI model based on TensorFlow Lite
Real-time AR rendering in less than 20ms
AES-256 encryption data protection
3.3 Medical Device Certification Plan
FDA Class II Medical Device Approval
Premarket notification via 510(k) application
Software development compliant with IEC 62304 standards
ISO 13485 Medical Device Quality Management System Certification
4. Business Model
4.1 Revenue Model
B2C Market
Personal user monthly subscription fee: $19.99 (app service)
Smartglasses hardware: $399-599
Premium Service (Personal Trainer Feature): $49.99/month
B2B Market
Ophthalmology Hospital License: $2,999 per year
Vision Correction Center Training Program Package: $9,999
Educational Institution Student Vision Management System: $19,999
4.2 Market Entry Strategy
Step-by-step entry plan
Phase 1 (6 months) : MVP development and prototype validation
Phase 2 (6 months) : AI advancement and clinical trials
Phase 3 (12 months) : Commercialization and global expansion
Partnership Strategy
OEM collaboration with existing eyewear brands (Ray-Ban, Oakley, etc.)
Formation of an advisory group of ophthalmologists and cooperation in clinical research at university hospitals
Technology partnership with semiconductor companies
5. Financial Planning
5.1 Investment Requirements
5.2 Sales Outlook
5.3 Profit and Loss Analysis
Break-even point : Expected in the second half of the second year
Payback period : 4 years
Expected net profit margin for year 5 : 25%
6. Investment Plan
6.1 Investment Attraction Strategy
Seed Investment (Current)
Target amount: 5 billion won
Leverage your investment: Develop MVP, build core team, and conduct early clinical trials
Series A (1 year later)
Target amount: 10 billion won
Investment Leverage: Product Commercialization, FDA Approval, Early Marketing
Series B (2 years later)
Target amount: 15 billion won
Leverage your investment: global expansion, production expansion, large-scale marketing
6.2 Investment Market Trends
Medical device investment boom
Investment in biomedical startups in 2024 to reach KRW 407.7 billion, up 9.1% year-on-year
Medical device ventures continue to attract large-scale investments (Medinetech 20 billion won, Baz Biomedic 10 billion won)
Venture investment recovery
Domestic venture investment size in 2024 will increase by 9.5% year-on-year to KRW 11.9 trillion
Funding for AI-powered digital health startups to increase 37% by 2024
7. Risk factors and countermeasures
7.1 Key Risk Factors
Technical Risk
Limitations of AR technology and battery life issues
Technical difficulty of accurate visual acuity measurement
Market Risk
Possible delay in medical device certification
Medical staff preference for existing ophthalmic treatments
Competitive Risk
Potential for large companies to enter the market
Evolution of existing VR-based solutions
7.2 Response Strategy
Technical response
Extending battery life through cloud offloading
Improve accuracy by combining multiple measurement methods
Establishing a roadmap for incremental hardware upgrades
Market response
Establishing a collaborative system with medical staff
Positioned as a preventive and complementary treatment approach
Building a strong IP portfolio
8. Execution Plan
8.1 Development Roadmap
Phase 1: MVP Development (6 months)
Implement basic vision measurement and diagnostic functions
Development of a basic training program for three types of refractive errors
Implementing an eye-tracking-based interface
Phase 2: AI Advancement (6 months)
Development and optimization of personalized algorithms
Voice interface integration
Clinical trials begin
Phase 3: Commercialization Preparation (12 months)
Apply for and obtain FDA approval
Development of standalone smart glasses hardware
Implementing a global marketing strategy
8.2 Key Performance Indicators (KPIs)
Technical indicators
Visual acuity measurement accuracy: 95% or higher
AR rendering latency: less than 20ms
User Satisfaction: 4.5/5.0 or higher
Business indicators
Monthly active users: 100,000 in year 3
Customer Retention Rate: 80% or higher
Market Share: 10% of Global Vision Improvement App Market in 5 Years
9. Organization and Team
9.1 Core Team Composition
Management
CEO: More than 10 years of experience in medical device commercialization
CTO: More than 15 years of experience developing AR/AI technology
CMO: Ophthalmologist and clinical research experience
Development Team
5 AR/VR developers
4 AI/ML Engineers
3 mobile app developers
2 QA/Test Engineers
Business Team
2 medical device licensing experts
3 Marketing/Sales Representatives
2 Finance/Accounting Officers
9.2 Advisory Committee
Medical Advisory Board
Five domestic and international ophthalmologists
3 vision rehabilitation specialists
2 medical device regulatory experts
Technical Advisor
3 AR/VR technology experts
2 AI/ML researchers
2 UX/UI design experts
10. Conclusion
VisionCare, an AI app for improving vision for AI glasses, is an innovative solution that overcomes the limitations of traditional vision training and provides personalized, customized treatment. The rapid growth of the global AR smart glasses market and increasing investment in digital healthcare support the potential success of this business.
In particular, we will be able to achieve sustainable growth through a differentiated value proposition as a daily integrated vision improvement solution that is not available in the existing market, and verification of safety and effectiveness as a medical device. We aim to grow into a leading company in the global vision improvement solution market within 5 years through a systematic development roadmap and a step-by-step investment attraction plan.
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Comparative Analysis of Vision Improvement AI Apps for Smart Glasses and Similar Services
introduction
There is currently no service that is exactly the same as the vision improvement AI app for smart glasses presented in the previous answer. However, there are various services that provide similar functions in areas such as vision improvement, AR/VR-based vision training, and smart glasses technology. In this analysis, we will classify these similar services by function and compare them in detail.
1. VR/AR based vision treatment platform
1.1 Vivid Vision (USA)
Basic information
Developer: Vivid Vision Inc., San Francisco
Platform: VR headset-based (Meta Quest supported)
Approval Status: FDA Approved
Key Features
Treatment of amblyopia, strabismus, and convergence insufficiency
Application of dichoptic stimulation technology
28+ game-based vision training programs
Training to enhance real-time bilateral cooperation capabilities
Clinical efficacy
Improved vision by 0.89 lines with 2-hour sessions twice a week for 10 weeks
Proven to be as effective as patch therapy
Better results than patch therapy in adults and patients with severe amblyopia
Restrictions
Limited portability due to need to wear VR headset
Requires a doctor's prescription
Separate operation for home and clinical use
1.2 Luminopia (USA)
Basic information
FDA DeNovo Approval (October 2021)
Subject: Amblyopic pediatric patients aged 4-7 years
Platform: VR headset based
Key Features
75 therapeutic TV shows and movies
Real-time content modification algorithm
Rebalancing of the binocular balance with a dual-action mechanism
Use once a day, 6 days a week
Clinical Outcomes
Achieved key safety and efficacy indicators in phase 3 clinical trials
Continuous effectiveness confirmed in real-world usage data (RWD)
Differentiating Point
High compliance with entertainment content-based treatment
Age-specific design for pediatric use
1.3 Eye Hero (Germany/Europe)
Basic information
Platform: Tablet/Computer based
Technique: Dichoptic approach
Target audience: Children and adults
Key Features
Training the 6 Core Visual Functions
Adaptive software and red-green glasses integration
30 minutes of daily interactive games
Real-time analytics and progress tracking
merit
Home-based vision training program
A scientifically evidence-based approach to heterogeneity
Binocular vision, reduced suppression, improved depth perception
2. Mobile app-based vision training service
2.1 AmblyoPlay (Slovenia)
Basic information
Platform: Tablet/Computer
Subjects: Patients with amblyopia, mild strabismus, and convergence insufficiency
Directions: 30 minutes per day, therapeutic game
Key Features
Interactive game for treating binocular vision disorders
Real-time progress tracking
Developed in collaboration with ophthalmologists
Effective vision treatment without side effects
Clinical Evidence
Proven to be an effective treatment tool when used continuously for at least 6 months
Professional recommendation and clinical application
2.2 Vision Training & Eye Exercise (Optics Trainer)
Basic information
Platform: Mobile App (Android/iOS)
Downloads: 10,000+ (Google Play)
Rating: 3.9/5.0
Key Features
28+ vision training games
Runaway, opening, stereopsis, binocular fusion training
Personalized daily exercise program
Improved multi-object tracking, visual memory, visual discrimination, peripheral vision, and depth perception
characteristic
Automatic movement adjustment based on progress
Motivation with a gamified interface
2.3 Pixel 'My Eye' App (Korea)
Basic information
Developer: Pixelo (Samsung Electronics spin-off, 2017)
Platform: Mobile and Kiosk
Certification: ISO 13485, FDA facility registration, MFDS software registration
Key Features
AI-based vision measurement and eye health diagnosis
Eye tracking based pupil tracking technology
Early detection of vision loss, presbyopia, macular degeneration, etc.
Providing eye exercise care solutions
Eye blinking and eye movement induction training
Clinical validation
Seoul National University Hospital in Bundang completed functional examination
Senior Center Usability Evaluation Achieves 92 Points
3. Smart glasses-based assistive technology
3.1 eSight 3 (Canada)
Basic information
Subject: Low vision patients (vision improved from 20/200 to 20/20)
Technology: Combining computer vision and AR
Processor: Qualcomm APQ8084
Key Features
Real-time scene capture and high-definition screen streaming
Medically proven image retouching algorithm
Image improvement in various lighting conditions
Improved visibility through graphic overlays
Technical Features
Up to 2 hours battery life
Dual 14-bit ISP (Image Signal Processor)
Equipped with Adreno graphics processing unit
3.2 Smart Vision Glass (SVG) - India
Basic information
Target: Assistance for the visually impaired
Study subjects: 90 people from 5 vision rehabilitation centers in India
Technology: AI-based voice interface
Key Features
"Things Around You": Recognize the objects around you
"Reading": Reading text
"Walking Assistance": Walking Assistance
"Face Recognition": Face Recognition
User Satisfaction
Reading Performance: 72.9% positive experience
Peripheral Object Recognition: 44.7%
Facial recognition: 36.5%
Walking assistance: 22.4%
3.3 LidSonic (Research Project)
Basic information
Platform: Arduino-based smart glasses
Technology: Machine Learning, LiDAR, Ultrasonic Sensors
Cost: Under $80
Key Features
Obstacle detection and voice warning
Smartphone app and Bluetooth connectivity
Object identification and voice feedback
Low power, lightweight design
4. Comparative Analysis Matrix
4.1 Comparison by function
4.2 Analysis of technical differences
Unique features of the proposed smart glasses app:
Integrated approach : One-stop solution from vision measurement to personalized training
Specialization by refractive error : Provides differentiated training methods for myopia, hyperopia, and astigmatism
Real-time AR implementation : Natural vision training possible during daily life
7-Dimensional Eye Tracking : More precise eye movement analysis than existing services
AI-based personalization : adaptive training difficulty adjustment through real-time learning
5. Market Positioning and Competitive Advantage
5.1 Market gap analysis
There is no service currently on the market that offers the same functionality as the proposed smart glasses app. The main limitations of existing services are:
Functional limitations:
Mostly single disease (amblyopia) centered treatment
Limited portability due to dependence on VR headsets
Separation of vision measurement and training
Difficulties in integrating everyday life
Technical limitations:
No or limited application of AR technology
Lack of real-time personalization
Lack of differentiation by refractive error
5.2 Innovative Value Proposition
Differentiating factors of the proposed smart glasses app:
Daily Integrated Therapy : A natural treatment environment that overcomes the limitations of existing VR headsets
Comprehensive Vision Care : An Integrated Platform for Measurement-Diagnosis-Training-Tracking
Personalized AI : Adaptive training system based on real-time learning
Improved Accessibility : Continuous vision care without the need for a specialist visit
6. Market Opportunities and Potential
6.1 Market Size
The AR sports glasses market is expected to grow at a CAGR of 7.9% from USD 48 billion in 2023 to USD 86.19 billion in 2031. The overall smart glasses market is expected to grow to USD 45 billion by 2025.
6.2 Technology Maturity
The effectiveness of VR-based vision treatment is being clinically proven, and advances in AR technology are increasing the feasibility of smartglasses-based solutions.
conclusion
There is no service that is exactly the same as the vision improvement AI app (VisionCare) for smart glasses currently proposed on the market. Most of the existing similar services are specialized for specific functions or have platform restrictions, so there is a market demand for an integrated and everyday-friendly vision improvement solution.
The proposed app is an innovative solution that provides one-stop services from vision measurement to personalized training, and is expected to provide differentiated value that can overcome the limitations of existing services. In particular, by combining AR technology and AI personalization functions, it will be possible to create a new market category of vision improvement services that are naturally integrated into daily life.
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How to improve your vision through eye exercises and training for hyperopia, myopia, and astigmatism
introduction
Scientific studies on eye exercises and vision training have shown that they have limited effectiveness in fundamentally improving refractive errors (myopia, hyperopia, astigmatism). However, under certain conditions, they can be expected to relieve eye fatigue, improve accommodation, and provide some functional improvements. In this summary, we will explain in detail the scientifically supported eye exercises and their effectiveness for each refractive error.
Eye Exercises and Training for Myopia
Limitations of the current study results
Meta-analysis studies have shown that eye exercises have a very limited effect on preventing or slowing the progression of myopia. Some improvement was observed in measurements using eye charts, but there was no significant difference from the control group in measurements of refractive errors.
Training Methods to Slow Myopia Progression
1. Accommodation Training
Matsuzaki's Eye Exercises
Far-sighted stretching : Place your index finger 30cm in front of your eyes and gaze at it for 3 seconds, then gaze at an object 3m or more away for 3 seconds. Repeat 10-15 times.
Ciliary muscle training : Strengthen the ciliary muscle that controls the thickness of the lens by looking at near and far distances alternately.
Bates method based training
Focusing method : Focus on a letter or dot for 3-5 minutes in a relaxed state to improve concentration and visual perception.
Point of view shifting method : Repeat the movement of returning to the first letter of the same line after reading a sentence to improve the flexibility of the eye muscles.
2. Exercises to strengthen the ocular muscles
Stretching up, down, left, and right
Keep your head still and slowly move your eyes up, down, left, and right.
Rotate in a circle clockwise or counterclockwise
Repeat 10 times in each direction, 3-5 times a day.
Yoga eye exercises
It has been proven that eye fatigue is significantly reduced when performed twice a week for 8 weeks, 60 minutes per session:
Palming : Rub your palms together to warm them up and place them over your eyes for 5 minutes.
Blinking exercise : Gently close and open your eyes rhythmically.
Side gaze : strengthening the extraocular muscles by looking alternately at the left and right extreme points
Rotational gaze : Slowly rotate your eyes in a circular motion to improve muscle balance
3. Training to improve regulatory functions
Pencil Push-up Exercise
An effective training method that has shown an 83% success rate in patients with a lack of endurance:
Hold the pen at arm's length and look at the tip of the pen with both eyes.
Bring it slowly towards your nose until you see double vision.
5 times a day, 5 minutes each time
Effects and Limitations
Research has shown that children around the age of 10 can improve their visual acuity by 0.6-0.9 after 3 months of consistent eye movement. However, this effect is mainly limited to functional improvement and does not fundamentally resolve the physical cause of myopia, the increased axial length of the eye.
Eye Exercises and Training for Hyperopia
Primitive characteristics and trainability
Since the primary problem in primitive people is fatigue-related symptoms due to lack of control, strengthening exercises for the control muscles may be relatively effective.
Strength training to enhance control
1. Close-range focus training
Progressive near-gazing
Hold a pen or pencil with your arms fully extended and look at it.
Inhale and bring it towards your eyes until it fades.
Exhale and stretch your arms again to see a clear image.
Repeat 10-15 times, 3 times a day.
2. Accommodative Rock Training
Dual focus training
Wearing +2.00D and -2.00D lenses alternately to look at near-distance text
Improve flexibility of the accommodative muscles by looking at each lens for 30 seconds
Recommended to be performed under the guidance of a vision specialist
3. Step-by-step distance control training
Multi-step focusing
Set up targets at distances of 30cm, 50cm, 1m, and 3m
Check the clear image by looking at the objects sequentially from a close distance
Stare at each step for 10 seconds and then move on to the next step.
Expand the control range by performing it in reverse order
Primitive Massage Therapy
Acupressure massage around the eyes
Gently press the bone area under the eyebrow from the inside to the outside.
Massage the temple area in circular motions to improve blood circulation.
2-3 times a day, 5 minutes each time
Eye Exercises and Training for Astigmatism
Limitations of Astigmatism Correction
Astigmatism is caused by an abnormality in the curvature of the cornea or lens, so it is difficult to fundamentally improve it through exercise. However, fatigue and discomfort caused by astigmatism can be alleviated through specific exercises.
Astigmatism Symptom Relief Training
1. Directional eye movements
Figure 8 drawing exercise
Move your eyes slowly, drawing a large figure 8.
Perform 10 repetitions each in forward and reverse directions.
Improve balance by using all the muscles of the eye evenly
Diagonal gaze training
Move your gaze from top left to bottom right, and from top right to bottom left
The purpose is to alleviate imbalance caused by corneal asymmetry.
Look at each direction for 15 seconds, repeat 5 times a day.
2. Massage for astigmatism
Matsuzaki Nanshi Massage
Close your eyes and gently massage your eyelids in circular motions.
Alternating pressure in up-down and left-right directions
Reduces fatigue caused by astigmatism by relieving tension in the cornea
3. Field of vision expansion exercise
Peripheral Awareness Training
Consciously perceive surrounding objects while looking straight ahead
Training to utilize your entire field of vision without moving your head
Compensation effect for visual distortion due to astigmatism
Training methods common to all refractive errors
1. Light and dark training
Iris control training
Strengthen the iris muscle by looking alternately at bright and dark places
Stare at bright light for 5 seconds using a flash or stand, then look into the dark for 5 seconds.
Repeat 10 times to improve light adaptation ability
2. Fusion Versions Training
Running and Opening Training
Strengthening bilateral cooperation through fusion training using dot cards
Maintaining a single point of vision while moving the gaze from near to far points
Success rates of 62-83% have been reported in patients with recurrent urinary incontinence
3. Full body linkage exercise
Eye movements linked to body rotation
Spread your legs about 15cm apart and rotate your body left and right while doing eye exercises.
Promotes coordination between the vestibular and visual systems by linking head and arm movements
Repeat 16 times, 2-3 times a day
Precautions and recommendations for training
Safety Rules
Gradual increase in intensity : Start with short bursts and gradually increase in intensity.
Get enough rest : Look into the distance for more than 20 seconds after exercise.
Hygiene : Wash your hands thoroughly before performing eye contact exercise.
Expert advice : If you have severe refractive errors or eye diseases, an ophthalmological examination is essential.
Effective implementation method
Daily Workout Schedule
Morning: 5 minutes of basic eye exercises (up, down, left, right, circles)
Lunch: 3-5 minutes of perspective training
Evening: 5-10 minutes of yoga eye exercises or massage
A total of 15-20 minutes per day is recommended.
Conclusion and realistic expectations
Eye exercises and vision training should focus on functional improvement and symptom relief rather than fundamental treatment of refractive errors. In particular, the following effects can be expected:
Relieves eye fatigue : Reduces fatigue by over 95%
Improved Accommodative Power : Functional improvement of the ability to accommodate distance
Improved Runaway Lack : 83% Treatment Success Rate
Alleviating Dry Eye : Improving Tear Film Stability
However, it does not solve the physical causes of myopia, hyperopia, and astigmatism, so it is recommended to use glasses, contact lenses, or surgical correction when necessary. Eye exercises should be approached as a complementary treatment, but it is important to perform them consistently for the purpose of maintaining eye health and improving function rather than with excessive expectations.
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