USER CASE | Use Cases

The Feipu Health Mirror is serving users across diverse global scenarios, delivering intelligent, convenient, and non-invasive health monitoring experiences. Below are our typical application cases:

Case 1: Corporate Health Management Program (Health Management)

User: Macau Oil Depot Management Limited
Scenario: Workplace Wellness Station
Usage: Deploying the Face Health Monitor in pantries and wellness corners, employees can perform self-service testing at any time, with data encrypted and uploaded to the enterprise health management platform.
Value Proposition:

Safety First, Preventing Operational Risks: Non-invasive, rapid monitoring of key physiological indicators, particularly timely early warnings for abnormal blood pressure and heart rate, effectively prevents high-risk operational risks caused by sudden physical discomfort, fortifying the "human defense" baseline for safe production.


Efficiency Boost, Reducing Hidden Costs: Integrating health management into daily workflows enables high-frequency monitoring at minimal time cost, reducing unexpected absenteeism and efficiency losses due to health issues, ensuring continuity of production operations.

Proactive Care, Demonstrating Responsible Warmth: Implementing proactive care for frontline employee health through technological means enhances employee belonging and satisfaction, reflecting a people-oriented safety culture and corporate social responsibility.

Case 2: Future Health Care Service

User: China Mobile - Mobile Aijia
Scenario: Daily Health Monitoring
Usage: In Mobile Aijia, every user can experience the Feipu Health Mirror for free, helping users gain a more comprehensive understanding of their physical health status.
Value Proposition: Transforming passive health management into proactive health screening; injecting high-frequency health services into "Mobile Aijia," significantly enhancing platform activity and user loyalty.
 

Case 3: Smart Elderly Care Living

User: Beijing Civil Affairs, China
Scenario: Daily Health Monitoring for Seniors
Usage: Each senior uses the AI Health Mirror at scheduled times daily, with data automatically synchronized to the care center and automatic alerts triggered for abnormalities.
Value Proposition: Achieving non-invasive, high-frequency health tracking, reducing care burden, and improving quality of life and safety for seniors.
Case 4: Disease Prediction and Screening
User: Ruijin Hospital, Shanghai, China
Scenario: Indoor "Future Clinic"
Usage: Deploying the Digital Mirror in the intelligent pre-examination area, chronic disease management center, and research clinic of Ruijin Hospital's "Future Clinic." Before appointments, patients can quickly complete non-invasive preliminary screening of key physiological indicators including blood pressure, blood glucose, blood lipids, and obesity index through a 10-second facial scan, with data synchronized in real-time to the hospital's HIS system and personal health records.
Value Proposition:

For Clinical Diagnosis and Treatment: Transforming traditional invasive, time-consuming biochemical testing into non-invasive, instant screening, optimizing outpatient workflows, improving diagnosis and treatment efficiency, and providing physicians with continuous, dynamic physiological data references to assist clinical decision-making.

For Research Innovation: Integrating multi-omics non-invasive data collected by Feipu with the hospital's existing genomic and proteomic databases for fusion analysis, supporting Ruijin Hospital in early biomarker discovery and predictive model construction in metabolic diseases, cardiovascular diseases, and other fields, advancing cutting-edge "computational medicine" research.

For Patient Experience: Reducing repeated blood draws and waiting times, lowering examination discomfort, particularly suitable for children, elderly, and chronic disease follow-up patients, improving medical compliance and satisfaction.
 

Case 5: Wellness Health Management Partnership

User: Taiping Wutong Renjia Wellness Community, Shanghai, China
Scenario: "Whole-Area Health Non-Invasive Monitoring" Network for High-End CCRC
Usage: Deploying the Smart Health Mirror in the community's health management center, seniors can perform quick 10-second scans anytime, anywhere during daily community activities. Test data is transmitted through encrypted networks in real-time and automatically flows into the community's smart wellness management platform, forming a personal dynamic health digital archive for each senior. The care team can clearly grasp the overall health situation of the community and individual abnormal fluctuations through platform large screens or mobile terminals. The system automatically alerts for risks such as sudden blood pressure spikes and abnormal blood glucose, and pushes personalized dietary, activity, or re-examination recommendations to care staff and the seniors themselves.
Value Proposition:
For Seniors: Establishing a Painless, Dignified "Health Habit"

Non-Invasive and Friendly: Completely eliminating the fear and inconvenience of frequent needle blood draws, significantly improving compliance and experience with health monitoring.

Proactive Early Warning: Transforming passive treatment into proactive management, discovering abnormal indicator trends before obvious physical discomfort occurs, achieving early disease warning and intervention.

Psychological Peace of Mind: Understanding one's own status at any time, reducing health anxiety, enjoying a more autonomous and secure later life under technological protection.

For Care Teams: Building "Data-Driven" Precision Care

Efficiency Boost and Burden Reduction: Liberating care staff from tedious basic measurement and recording work, quickly locating seniors needing attention through system alerts, improving care efficiency and targeting.

Decision Support: Continuous, multi-dimensional health trend data provides objective, scientific basis for assessing seniors' overall condition, adjusting care plans, and evaluating intervention effectiveness.

For Wellness Communities: Shaping "Technology-Led" Core Competitiveness

Service Upgrade: Transforming traditional life care into an integrated smart health management system encompassing "prevention, monitoring, management, and intervention," becoming a core selling point for attracting high-end clientele.


Risk Control: Significantly reducing operational risks and potential disputes caused by sudden health events, optimizing overall health outcomes through preventive measures, potentially indirectly affecting insurance product costs.

Brand Benchmark: Creating a demonstration project for technology-enabled smart elderly care in the national "insurance + medical wellness" ecosystem, strengthening brand industry leadership.

For Families and Society: Building a "Transparent and Trustworthy" Care Bond

Remote Care: After authorization, children and family members can remotely view seniors' health trend summaries through secure channels, transforming distance-bound concern into visible peace of mind.

Industry Model: Providing a replicable, scalable digital solution for health management challenges in large-scale elderly care communities, supporting the achievement of "healthy aging" societal goals.

Case 6: AI-Empowered Public Welfare Elderly Care

User: China Ageing Development Foundation
Scenario: "Smart Silver Age" Community Public Welfare Health Screening
Usage: Establishing fixed "Smart Health Corners" and equipping volunteers to assist community elderly in monthly routine health quick screenings. Analyzing regional elderly health trends to provide targeted medical referral and health guidance services for high-risk individuals.
Value Proposition:

For Public Welfare Efficiency (Data-Driven): Through digital tools, upgrading traditional "one-time charity clinics" to sustainable, trackable dynamic health management. Data capabilities empower the foundation to plan resources more scientifically and evaluate project effectiveness, creating a "screening-warning-intervention" smart elderly assistance closed loop.

For Social Model (Benchmark Leadership): Creating an innovative cooperation model of "cutting-edge technology + public welfare organization," providing a replicable digital solution for national community elderly care and healthy aging initiatives, significantly enhancing the social influence and credibility of public welfare projects.

Case 7: City Pulse Monitoring Station

User: Chengdu Smart Bus Station, China
Scenario: Smart Bus Stop "Health Service Corner"
Usage: Integrating the Face Health Monitor module in smart bus pavilions in key areas of Chengdu. Citizens can conveniently use it while waiting for buses, transforming daily commute waiting time into valuable health self-check moments.
Value Proposition: Seamlessly embedding highly convenient health testing services into citizens' most frequent public life scenarios, significantly lowering the threshold for health self-checking, representing a cutting-edge practice of "smart city" and "proactive health" concepts, directly enhancing citizen sense of gain and city service warmth.
SOLUTION | Solutions
Based on a "Non-Invasive Perception - Intelligent Computation - Ecosystem Empowerment" trinity technical architecture, the Health Mirror provides users with full-stack solutions from individual health monitoring to population health management. The following elaborates from four dimensions: technical core, scenario integration, data intelligence, and ecosystem co-construction.

FEIPU MiLC Computational Framework

Non-Invasive Multi-Modal Perception System

Panoramic Facial Biometric Collection: Through multi-modal optical modules, capturing biometric points including microcirculation status, skin temperature distribution, and facial blood oxygen signals.
Dynamic Physiological Signal Extraction: Combining infrared imaging and micro-expression analysis technology to real-time extract heart rate variability (HRV), respiratory rate, and other dynamic indicators.
Environment-Adaptive Calibration: Built-in optical calibration algorithms ensuring detection result consistency under different lighting and temperature conditions.

Multi-Omics Fusion Computation Engine

Metabolomics Inference Model: Based on association analysis between facial metabolic representations and clinical databases, calculating quantitative data for metabolic indicators such as blood glucose, blood lipids, and uric acid.
Hemodynamic Modeling: Through microvascular image analysis and pulse wave transit time calculation, achieving non-invasive assessment of blood pressure and vascular elasticity.
Nutrition and Aging Index Algorithms: Integrating collagen density analysis and oxidative stress marker inference, generating skin aging index and nutritional status scores.

Continuously Optimizing AI Health Database

Federated Learning Architecture: Adopting privacy computing technology at each deployment terminal, with models continuously learning without leaking raw data.
Monthly Indicator Update Mechanism: Adding 1-2 new detection indicators monthly (such as cholesterol indicators, stress hormone trends), targeting breakthrough of 20+ routine inspection indicators by 2028.
Precision Evolution Curve: Model average comprehensive accuracy continuously improves with data volume growth, having achieved clinical-grade precision for all indicators in cooperative tertiary hospital validations.

Scenario-Based Integrated Solutions

Corporate Health Management Suite

Hardware Combination: Standard Digital Mirror + Enterprise Health Data Dashboard
Integration Method: Supporting API docking with enterprises, with test results encrypted and pushed to individual and enterprise health management backends
Core Functions:

Population health risk heat map (analyzed by department, position, age group)

Automatic abnormal indicator early warning and medical green channel docking

Health improvement plan linkage with insurance benefits

Medical Collaborative Diagnosis System

In-Hospital Deployment Plan: Pre-examination triage desk + Chronic disease management center + Research clinic three-terminal deployment
Data Flow Integration: Compliant with HL7 international standards, seamlessly docking with hospital integrated management systems
Clinical Value Points:
10-second rapid pre-screening before outpatient visits, assisting physicians in targeted order placement

Synchronization of chronic disease patient home monitoring data with in-hospital electronic medical records

Providing continuous, non-invasive real-world data (RWD) collection solutions for clinical research

Smart Elderly Care Health Network

Three-Layer Deployment Architecture:

Community Layer: Health station centralized screening points

Institution Layer: Deployment on every floor of nursing homes

Home Layer: Home lightweight version devices
Safety Monitoring Features:

Fall risk prediction (through gait and balance indicator analysis)

Medication adherence indirect assessment (inferred through blood pressure and blood glucose control effectiveness)

Emergency contact automatic notification system (when indicators change abruptly)
 

New Retail Health Service Module

Pharmacy Upgrade Solution: "Detection-Recommendation-Repurchase" Closed Loop

5-minute health quick check service

AI-assisted medication recommendation system (recommending OTC medications based on test results)

Member health records and medication reminder services
Supermarket Experience Corner: Family health management center experience area, driving sales of related health consumer products

Data Intelligence and Health Insight System

Personal Digital Health

Dynamic Health Archive: Beyond data recording, constructing a three-dimensional health status spectrum changing over time
Risk Prediction Model: Based on continuous data, providing 3-6 month future health risk predictions (such as pre-diabetes conversion risk)
Personalized Intervention Engine: Generating customized four-dimensional improvement plans for diet, exercise, sleep, and nutritional supplementation

Population Health Public Intelligence

Epidemiological Trend Insights: Regional-level anonymous data analysis, early warning of seasonal health risks
Health Social Determinants Assessment: Associating multi-dimensional data including environment, occupation, and lifestyle
Public Health Policy Simulation: Providing government with effect prediction data support for health intervention measures
Ecosystem Co-Construction and Business Empowerment

Open Platform and Developer Ecosystem

FEIPU Health API Open Platform: Providing three types of API interfaces for indicator detection, trend analysis, and report generation
Industry Solution SDK: Customized development toolkits for insurance, fitness, beauty, and other industries
Partner Certification Program: Technical certification + joint solution co-construction + joint market promotion

Four-Dimensional Business Model Matrix

Business Model	Target Customers	Value Proposition
Hardware Sales	Family/Enterprise/Wellness/Medical	Zero-threshold non-invasive health detection
Data Services	Insurance/Pharmaceutical/Research/Academic	Health data insights
Ecosystem Revenue Share	Health Consumer Brands	"Detection-Recommendation-Purchase" closed loop
Platform Subscription	Small and Medium Health Management Services	Proactive health management capabilities

Global Deployment and Compliance System

Multi-Country Certification Progress: CE certification obtained, FDA Class II registration in progress.
Data Compliance Architecture: Compliant with GDPR, HIPAA, and China's Personal Information Protection Law requirements.
Localization Adaptation: Supporting multi-language interfaces, with indicator reference ranges adaptively calibrated by ethnicity and region.

Why Choose Feipu

Feipu provides not just single-point detection tools, but digital health infrastructure covering four levels of "individual-family-community-city." We are working with global partners to jointly build an earlier, more accurate, and more imperceptible health future.
Core Advantages Summary:

Technical Depth: Stemming from 20 years of computational biology accumulation, not superficial algorithm application.

Scenario Breadth: 10+ industry scenarios validated, 1000+ terminals deployed.

Data Intelligence: Complete capability closed loop from detection to prediction to intervention.

Ecosystem Openness: Embracing partners to jointly build a health ecosystem.