Data Architecture

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Lux-Ear Internal Wiki[edit | edit source]

Page: Data Architecture[edit | edit source]

Overview This page describes the proposed data architecture for Lux-Ear, leveraging Firebase to provide scalable, real-time infrastructure for kiosk scanners, customer-facing apps, internal tools, and cloud-based services.

Architecture Diagram[edit | edit source]

Proposed Firebase-based architecture for Lux-Ear

Key Components[edit | edit source]

  • Firebase Authentication
 * Authenticates users and devices (e.g., kiosk operators, customers, franchisees).
 * Supports multi-platform logins and enforces secure, role-based access.
  • Firestore (Cloud Firestore)
 * NoSQL database used to store metadata for scans, kiosk statuses, user profiles.
 * Real-time updates across web and mobile clients.
 * Offline caching support for kiosk and mobile operations.
  • Firebase Cloud Storage
 * Stores large files including 3D ear scans, images, diagnostic logs.
 * Access control rules tied to user or kiosk identity.
  • Firebase Cloud Functions
 * Hosts backend logic for events like scan upload, payment processing, and scan-to-CAD conversion.
  • Firebase Hosting
 * Serves static pages and web applications (e.g., Find a Scanner, Admin Dashboard).
  • Analytics and Crashlytics
 * Provides usage statistics, session tracking, and error diagnostics.

Optional Extensions[edit | edit source]

  • Google Cloud Vertex AI: AI-based modeling of ear shapes.
  • BigQuery: Advanced analytics on scan volumes, locations, and trends.
  • Stripe: Payment integration via Firebase Cloud Functions.
  • AppCheck: Ensures requests come from verified app clients.

Author[edit | edit source]

Scott McGregor Lux-Ear Founder and Product Strategy Lead

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