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Development of an AI-Powered Kiosk Application for Enhanced Skin Imaging and Analysis
  1. case
  2. Development of an AI-Powered Kiosk Application for Enhanced Skin Imaging and Analysis

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Development of an AI-Powered Kiosk Application for Enhanced Skin Imaging and Analysis

leobit.com
Medical
Information technology

Challenges in Skin Imaging System Modernization

The client faced multiple technical challenges: outdated application architecture requiring refactoring for modularity, image distortion issues caused by hardware lenses affecting AI analysis accuracy, the need to pivot from a mobile app to a secure kiosk application with enhanced camera controls, and requirements for seamless offline functionality and autonomous updates in restricted environments.

About the Client

A global leader in medical skin imaging systems, specializing in AI-powered hardware and software solutions for early skin cancer detection through automated total body mapping and portable dermoscopy devices.

Key Project Goals

  • Modernize application architecture for dual-platform compatibility
  • Implement real-time image distortion correction
  • Develop hardware SDK for advanced device integration
  • Enable autonomous app updates via private repository
  • Enhance AI-powered skin lesion analysis capabilities
  • Ensure secure offline data synchronization

Core System Capabilities

  • Manual camera controls (white balance, exposure, ISO, focus)
  • Real-time OpenCV-based distortion correction
  • AI scoring integration with TensorFlow Lite models
  • Hardware SDK for USB-connected dermoscopy case
  • Stripe payment integration for analysis credits
  • Offline-first architecture with background data sync
  • Kiosk mode security restrictions

Technology Stack

Kotlin/Java
C++
OpenCV
TensorFlow Lite
Flutter
MongoDB
SQL
FDroid
D2XX Library

System Integrations

  • Stripe Payment Gateway
  • FTDI Hardware Communication
  • Private ML Model Repository
  • Central Patient Database

Non-Functional Requirements

  • Real-time image processing performance
  • Medical-grade data security and privacy
  • High-availability offline functionality
  • Automated update mechanisms
  • Compliance with medical device regulations

Expected Business Impact

The solution will enable faster, more accurate skin cancer detection through enhanced imaging capabilities and AI analysis, improve user experience with real-time distortion correction, reduce maintenance costs through modular architecture, and expand market reach by enabling secure kiosk-based deployments in clinical environments with restricted internet access.

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