Food management AI service using smart glasses
With the development of smart glasses in the future, I thought that many people would use them, so I wrote about empathy ideas that can be used in real life, following AI QR Space
Food management AI service using smart glasses
Service Overview
The food management AI service using smart glasses is an innovative healthcare solution that supports safe eating based on personal health status and allergy information. Currently, smart glasses technology supports various functions such as AI-based real-time image processing, voice recognition, and QR code scanning, and has advanced to a level where it can be practically used in everyday life.
Core features and real-life use cases
1. Register and manage personal health information
Real-world usage scenarios
Mr. Kim (35 years old) suffers from peanut allergies and high blood pressure and takes blood pressure medication every day. He uses the camera on his smart glasses to scan his health checkup results and prescriptions to create a personal health profile. The AI analyzes this information and automatically sets customized diet guidelines such as “Completely avoid peanuts and tree nuts” and “Consume less than 2,000 mg of sodium per day.”
2. Smart ordering system in restaurants
QR code linking ordering process
Mr. Park XX visits an Italian restaurant. When he scans the QR code on the table with his smart glasses, the restaurant's digital menu appears on the lenses of the glasses. Based on Mr. Park's shrimp allergy information, AI automatically excludes six menus, including seafood pasta and shrimp risotto, and highlights only the safe menu items with a warning message that says, "Cannot be ordered due to allergy ingredients."
Menu customization situation
Mr. Lee is allergic to eggs but wants to eat carbonara. The smart glasses AI presents the option, “Would you like to check if it is possible to order without eggs?” and if he answers “Yes” with a voice command, the special request is automatically sent to the kitchen.
3. Real-time food recognition and safety verification
Verification process after food arrival
The chicken breast salad ordered by Mr. Choi XX has arrived at the table. The camera on the smart glasses scans the plate, and the AI analyzes the food. A warning message is immediately displayed saying, "Nut topping detected - contains approximately 15g of almond slices. Be careful when consuming due to nut allergy." This prevents danger in advance.
Real-time analysis of nutritional components
Mr. Han, who is on a diet, ordered bibimbap. The smart glasses AI recognized the food and provided the following information: "520 kcal total calories, 78 g carbohydrates, 1,200 mg sodium detected. Concern about exceeding target sodium intake" and provided customized advice: "Recommend reducing red pepper seasoning by 50%."
4. Medication management and meal planning
Pre-meal/post-meal medication reminders
When Mr. Oh, a diabetic, enters a restaurant for lunch, a notification appears on his smart glasses saying, "It's time to take your pre-meal hypoglycemic drug, Metformin." After the meal, a message appears asking, "Would you like to set a post-meal medication reminder 30 minutes later?" to help with systematic medication management.
Drug-Food Interaction Warning
When Mr. Kim, who is taking warfarin (a blood thinner), tries to order a quiche with a lot of spinach, a warning is immediately displayed: "Foods high in vitamin K may reduce the effect of warfarin. Intake should be controlled."
5. Management of nutritional supplements and health functional foods
Interaction prevention system
Mr. Lee, who takes a multivitamin and calcium supplement, receives the message "Concern about excessive iron intake. Recommend skipping iron supplement today" after eating iron-rich beef. He is also provided with the educational information that "the absorption of fat-soluble vitamins A, D, E, and K increases when consumed with fat."
Technical implementation method
The camera mounted on the smart glasses recognizes and analyzes food in real time. Currently, AI food recognition technology can identify more than 9,000 foods with 91% accuracy, and can recognize multiple foods and measure their quantities at the same time.
2. QR code linkage system
Linked to the restaurant's digital menu system, it receives menu information in real time. It provides a menu that is automatically translated into 22 languages, and filters and displays only the appropriate menus based on allergy information.
3. Cloud-based health database
Personal health information is encrypted and stored on cloud servers, and matched in real time with a vast database of drug information, food information, and nutritional supplement information.
Social value of service
1. Increased safety for allergy patients
Currently, the number of food allergy patients is increasing worldwide, and the need for allergy management tools through mobile apps is increasing. Smart glasses-based services can prevent serious allergic reactions such as anaphylaxis through real-time risk detection.
2. Support for diet management for patients with chronic diseases
For patients with chronic diseases such as diabetes, high blood pressure, and kidney disease, systematic diet management can prevent disease worsening and improve treatment effectiveness.
3. Activate contactless service
As demand for contactless services increases post-pandemic, touchless ordering systems based on QR codes are spreading. Voice and eye-based ordering via smart glasses provide an even more advanced contactless experience.
conclusion
The food management AI service using smart glasses presents a new paradigm of personalized health management. It supports users’ safe eating habits through integrated functions such as real-time food recognition, QR code linkage, and medication management, and can provide practical help, especially to allergy patients and chronic disease patients.
Considering the current pace of advancement in smart glasses technology, commercial-level services are expected to be available around 2027, which will be an innovative turning point in the digital healthcare field.
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Business plan for food management AI service using smart glasses
1. Overview
1.1 Vision
Vision: A global leader in supporting personalized healthy eating through AI technology based on smart glasses
Mission: Provide innovative AI solutions to help allergy sufferers and chronically ill patients eat safely and healthily.
1.2 Core Services
Real-time food recognition using smart glasses and personalized diet management AI service based on personal health status
Key Features:
QR code linked restaurant ordering system (automatic menu filtering based on personal allergy information)
Real-time food recognition and allergen alerts
Real-time analysis of drug-food interactions
Personalized nutrition management and medication reminders
2. Market Analysis
2.1 Market size and growth potential
Global Smart Glasses Market
2025: $26.6 billion → 2034: $111.2 billion (CAGR of 17.2%)
AR Smart Glasses Market: $18.6 Billion in 2024 → $53.2 Billion in 2030 (CAGR of 11.82%)
AR Smart Glasses Sales Projected to Reach 90 Million Units by 2030
Healthcare AI Market
2024: $26.5 billion → 2030: $187.7 billion (CAGR of 38.62%)
Mobile Health App Investment: $220 Million in Q1 2015 Alone
Wearable Technology Market
2024: $72.5 billion → 2033: $200.8 billion (CAGR of 13.58%)
2.2 Target Market
Primary target market: Allergy sufferers and those with chronic diseases
The number of food allergy patients is increasing worldwide
More than 2 million people in Korea have food allergies/intolerances
Secondary target market: General consumers interested in health care
Increased demand due to growth in the digital healthcare market
3. Competitive Analysis
3.1 Differences compared to existing services
Current status of similar services:
Baidu AI Smart Glasses: Provides only basic calorie counting functions
Meta Orion: Recognizes food ingredients and suggests recipes (limited allergy management features)
Mobile app-based allergy management services (food allergy alert, AltariUP, etc.)
Key differentiators:
Integrated solution: Allergy management, drug interactions, and nutritional management in one platform
Real-time processing: Instant food analysis and alerts via smart glasses
QR integration: Provides pre-filtering by real-time integration with restaurant menus
Collaboration between healthcare professionals: Accurate health management through linking prescriptions and health information
3.2 Technological Advantage
AI Vision Technology: Achieving 91% Recognition Rate for More than 9,000 Foods
Real-time analysis: Instant ingredient analysis via smart glasses camera
Cloud Integration: Real-time matching with massive medical and nutrition databases
4. Technology Development Plan
4.1 Key Technology Elements
Hardware Technology:
Lightweight smart glasses (target: less than 45g)
High resolution camera (16 megapixels)
Low power AI chipset (under 250mW)
Software Technology:
Food recognition AI engine (accuracy over 95%)
Real-time component analysis system
Drug-Food Interaction Database
QR code linkage system
4.2 Development Roadmap
Phase 1 (2H 2025): MVP development and beta testing
Implementing basic food recognition functions
Recognize the 5 major allergens
QR integration with 50 partner restaurants
Phase 2 (first half of 2026): Service enhancement
Achieving 95% food recognition accuracy
Added drug interaction feature
Building a network of 1,000 restaurants
Phase 3 (2H 2026): Commercialization and Expansion
Official service launch
Preparing to enter overseas markets
B2B Service Expansion
5. Business Model
5.1 Revenue Structure
B2C Model:
Subscription service: 29,000 won per month (basic), 49,000 won per month (premium)
Hardware Sales: Smart Glasses 499,000 won (Release Price)
In-App Purchases: Premium features and expanded database
B2B Model:
Restaurant Partnership: QR Link Service 50,000 won per month
Hospital/Pharmacy Integration: Medical Data Integration Service
Corporate Welfare: Employee Health Care Package
5.2 Customer Acquisition Strategy
Marketing Strategy:
Collaboration with medical staff: Partnerships with allergists and endocrinologists
Patient Community: Building an Online Community for Allergy Patients
Restaurant Network: Strategic Partnerships with Major Franchisees
Insurance Partnership: Linking Insurance Benefits as a Health Care Service
6. Organization and Personnel Planning
6.1 Composition of key personnel
Management:
CEO: Healthcare IT professional (preferably from a medical background)
CTO: AI/Computer Vision Expert
CPO: Product Development Specialist (Wearable Device Experience)
Development Team (15 people):
5 AI engineers
4 Mobile/Web Developers
3 hardware engineers
3 QA engineers
Business Team (10 people):
2 medical advisors
3 marketing experts
3 Sales/BD Professionals
2 Customer Service Team Members
6.2 Personnel Acquisition Plan
Step 1: Acquire key technical staff (after Series A)
Step 2: Expanding the Business Development Team (after Series B)
Step 3: Hiring local talent for global expansion
7. Financial Planning
7.1 Investment Attraction Plan
Seed round (2025): 2 billion won
Purpose: MVP development, securing key personnel, patent application
Target Investors: Angel Investors, Early Stage VCs
Series A (2026): 10 billion won
Uses: Product enhancement, partnership building, marketing
Target Investors: Healthcare VCs, Large Corporate CVCs
Series B (2027): 30 billion won
Uses: Commercialization, overseas expansion, large-scale marketing
Target Investors: Global VCs, Strategic Investors
7.2 Sales Outlook
2026 (Beta Service): 500 million won
1,000 beta users × 20,000 won per month × 6 months
2027 (official release): 10 billion won
15,000 subscribers x 30,000 won per month x 12 months = 5.4 billion won
Hardware sales 5,000 units x 500,000 won = 2.5 billion won
B2B sales of 2.1 billion won
2028 (Growth period): 30 billion won
50,000 subscribers x 30,000 won per month x 12 months = 18 billion won
Hardware sales 15,000 units x 400,000 won = 6 billion won
B2B sales of 6 billion won
2029 (expansion period): 80 billion won
Sales growth through expansion of domestic and international subscribers
7.3 Profit and Loss Outlook
Cost Structure:
Labor costs: 40-50% of total costs
R&D: 25-30% of total costs
Marketing: 15-20% of total costs
Operating expenses: 10-15% of total costs
Break-even point: Estimated Q4 2028
8. Risk factors and countermeasures
8.1 Key Risk Factors
Technical Risks:
AI recognition rate target not reached
Hardware battery life issues
The Complexity of Linking Medical Information
Market Risk:
Smart glasses market introduction slows down
Competitors launch similar services
Regulatory changes (e.g. medical device approval)
Business Risks:
Key personnel departure
Delay in attracting investment
Failure to build partnerships
8.2 Countermeasures
Technical response:
Improved recognition rate by utilizing multiple AI models
Close collaboration with hardware partners
Step-by-step promotion of medical information linkage
Market Response:
Parallel development of mobile app version
Gain a competitive edge with differentiated features
Establishing a regulatory response team and preparing in advance
Business response:
Stabilizing the workforce through stock option system
Securing a diverse investor pool
Signing long-term contracts with key partners
9. Growth Strategy
9.1 Step-by-step growth plan
Phase 1 (2025-2026): Entering the domestic market
Focused targeting of allergy patients
Partnerships with major hospitals and pharmacies
Building a network of premium restaurants
Phase 2 (2027-2028): Market Expansion
Expanding into the general health care market
Expanding network to include mid- to low-priced restaurants
Entering the corporate welfare market
Phase 3 (2029-2030): Going Global
Entering the US and Japanese markets
Integration with local health systems
Partnership with global restaurant chain
9.2 Partnership Strategy
Health Partnerships:
Collaboration with the Department of Allergy at University Hospital
Prescription linkage with pharmacy chains
Data cooperation with the National Health Insurance Corporation
Restaurant Partnerships:
Major franchises (McDonald's, Starbucks, etc.)
High-end restaurant chain
Delivery app platform integration
Technology Partnerships:
Smart glasses manufacturers (Samsung, LG, etc.)
AI platform company
Cloud Service Provider
10. Regulatory and Certification Plan
10.1 Required Certification
Medical Device Certification:
Ministry of Food and Drug Safety Medical Device Approval (Class 2 Medical Device)
Compliance with Personal Information Protection Act
Review of telemedicine regulations under the Medical Act
International Certification:
FDA Approval (for US entry)
CE marking (for European market)
ISO 13485 (Medical Device Quality Management System)
10.2 Certification Schedule
2025: Application for domestic medical device approval
2026: Obtaining Personal Information Protection Certification
2027: Start of international certification drive
11. Conclusion
The food management AI service using smart glasses is a business that can create innovative value at the intersection of the rapidly growing smart glasses market and the healthcare AI market. In particular, since there is no completely identical service before, a preemptive effect can be expected, and it can meet the urgent needs of allergy patients and chronic disease patients.
Key Success Factors:
Technological Differentiation: Providing Integrated Healthcare Solutions
Collaboration between healthcare professionals: A trusted health information-based service
Network Effects: Building an Ecosystem Between Restaurants, Users, and Medical Professionals
Scalability: Multiple revenue models from B2C to B2B
After securing a stable position in the domestic market through a total investment of KRW 42 billion over the next five years, we plan to expand into the global market and grow into a healthcare technology company with annual sales of over KRW 100 billion by 2030.
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Smart Glasses Food Management AI Service Existing Service Survey Results
Whether the same service exists
There is currently no service that is exactly the same as the proposed smart glasses-based food management AI service . A service that provides an integrated QR code-linked restaurant ordering system, real-time food recognition and allergy warning, and medication management using smart glasses has not yet been commercialized.
Similar existing services and technologies
1. Smart glasses-based diet management service
Baidu's AI Smart Glasses
Baidu's AI smart glasses, released in November 2024 by China, include a diet management function . The glasses automatically calculate calories when eating and provide voice guidance such as "I consumed 1,102 kilocalories today."2 However, they do not include allergy management or drug interaction warning functions.
Meta's Orion AR Glasses
Meta's Orion AR glasses, unveiled in September 2024, have food ingredient recognition capabilities . They offer recipes when users look at ingredients, and they also include the ability to ask questions to the AI. However, allergy management and personalized health management capabilities are limited.
2. Similar technologies in academic research fields
DietGlance System
DietGlance, developed by the research team, is a personalized diet monitoring system using smart glasses . The system provides personalized diet suggestions by linking with an AI-based nutrition library, and its effectiveness has been proven through a short-term study of 33 people and a 4-week long-term study of 16 people.
MunchSonic System
MunchSonic tracks detailed eating behaviors with an AI-based acoustic sensing system integrated into smart glasses . The technology emits ultrasound from the glasses frame to detect body part movements and monitor chewing behavior.
3. Smart glasses-based health management technology
Drug administration management study
Researchers in Singapore have developed a medical reminder system that uses the Google Glass platform . The system can remind users to take their medication correctly and provide notifications via vibration or an alarm when it's time to take their medication.
Washington University's medication error detection study
Researchers at the University of Washington are working on a medication error detection system using AI-based smart glasses that aims to improve patient safety by detecting errors in medical staff choosing the wrong medication.
4. Mobile app-based allergy management service
Allergy Management Apps in Korea
School Meal Allergy Alert : An app developed by Chungbuk National University Hospital and Seoul National University Bundang Hospital that provides a service that automatically notifies of allergens in school meals.
AltariUP : A food allergy management app developed in Namdong-gu, Incheon, that provides functions for eliminating foods that cause allergies and recommending alternative foods.
Food QR Service
The Food QR service operated by the Korea Food and Drug Administration allows you to check the raw materials, allergens, and nutritional information of food through QR codes. This service will be fully applied to domestically manufactured foods starting in 2024, and is scheduled to be expanded to all foods in 2026.
5. AI-based diet analysis service
Pillyze
Philize provides an AI service that analyzes nutritional supplements and diets based on personal health data . It analyzes the nutritional supplements currently being taken and provides customized recommendations and dosage management services, and also includes a customized diet analysis function.
Mealo (Milo)
Mealo is an AI-based, easy-to-use diet management app that automatically analyzes calories and nutrients by taking a photo of food. It has personalized calorie goal setting and progress tracking functions.
Technical Differentiation Analysis
The proposed service offers the following unique integration features compared to existing services :
QR Code Linked Restaurant Ordering System : Automatically Filters Menus Based on Personal Allergy Information
Real-time food recognition and safety verification : The ability to instantly analyze allergens by taking a photo of food with smart glasses
Drug-Food Interaction Alert : Real-time analysis of interactions between medications you are taking and foods you eat
Integrated health care : Comprehensive services providing allergy, medication, and nutrition management in one platform
conclusion
Currently, there is no integrated solution that is exactly the same as the proposed service on the market, but various services and research projects that provide individual functions are being conducted. In particular, due to the development of smart glasses technology and the spread of AI-based health management services, the proposed service is evaluated as an innovative idea that can create new value by integrating existing technologies.
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