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LILLIUS White Paper
  • 🌐ENGLISH
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 Healthcare & Fitness Market
      • 4.2 Blockchain Market
    • 5. Industry Pain Point
      • 5.1 The exercise-related industry
      • 5.2 Pain Points in the Web3 Industry
    • 6. Target Analysis
      • 6.1 Characteristics and trends of Gen MZ
      • 6.2 Healthcare Content for Generation MZ
      • 6.3 Leveraging Generation MZ's digital devices
    • 7. Business & Technical Logics
      • 7.1 AI motion analysis system
      • 7.2 The momentum measurement and device linkage system
      • 7.3 NFT membership
      • 7.4 Training Program
      • 7.5 The content of LILLIUS is spreading worldwide
      • 7.6 Token Utility
      • 7.7 Web3 community
      • 7.8 Content commerce
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 Service Architecture
      • 11.2 Blockchain (Polygon Chain)
      • 11.3 AI Motion Analysis Technology
      • 11.4 Patent
    • 12. Token Economics & Fund
      • LLT Token Economices
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
  • 🇰🇷KOREAN
    • 0. Disclaimer
    • 1. Abstract
    • 2. Executive Summary
    • 3. Project Background
    • 4. Market Overview
      • 4.1 헬스케어 & 피트니스 시장
      • 4.2 블록체인 시장
    • 5. Industry Pain Point
      • 5.1 운동 산업의 Pain Point
      • 5.2 Web3 산업의 Pain Point
    • 6. Target Analysis
      • 6.1 MZ세대의 특징과 트렌드
      • 6.2 MZ세대의 건강관리 콘텐츠
      • 6.3 MZ세대의 디지털 기기 활용
    • 7. Business & Technical Logics
      • 7.1 AI 동작분석 시스템
      • 7.2 운동량 측정과 디바이스 연동 시스템
      • 7.3 NFT 멤버십
      • 7.4 트레이닝 프로그램
      • 7.5 전세계로 뻗어나가는 릴리어스 콘텐츠
      • 7.6 토큰 유틸리티
      • 7.7 Web3 커뮤니티
      • 7.8 콘텐츠 커머스
    • 8. Ecosystem
    • 9. Case Study
    • 10. Competitive Landscape
    • 11. Technical Overview
      • 11.1 서비스 아키텍처
      • 11.2 블록체인 (폴리곤 체인)
      • 11.3 AI 동작분석기술
      • 11.4 특허
    • 12. Token Economics & Fund
      • LLT Token Economics
      • Token Allocation
      • Token Vesting Schedule
      • LLT Training Reward Vesting Plan
    • 13. Roadmap
    • 14. Team & Advisors
      • 14.1 Team
      • 14.2 Advisors
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  1. ENGLISH
  2. 11. Technical Overview

11.1 Service Architecture

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Last updated 1 year ago

This is the comprehensive server configuration (architecture) of the LILLIUS service. The public network includes the training API and the training content section, catering to users' needs. Meanwhile, the private network establishes a link to the blockchain for the data of players who offer training programs.

Phase 1 of the LILLIUS service focuses on supporting the Android/IOS smartphone environment. Phase 2 expands its support to include smart TVs and smartwatches. Phase 3 encompasses multiple devices, including AR and VR devices.

As the above phases progress, the system will also receive updates. Firstly, the exercise evaluation score extraction technology and reward service will be updated. Next, the reward service (T2E) linkage will be adjusted based on exercise results, taking into account the number of exercise participants and user feedback. Lastly, VR sports content and AR exercise lecture services, along with motion analysis technology, will be gradually updated.

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