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Development of High-Performance Mobile Diagnostic Application with Computer Vision and Barcode Integration
  1. case
  2. Development of High-Performance Mobile Diagnostic Application with Computer Vision and Barcode Integration

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Development of High-Performance Mobile Diagnostic Application with Computer Vision and Barcode Integration

dac.digital
Medical
Health & Fitness
Consumer products & services

Challenges in Commercializing PoC Diagnostic Application

The initial MATLAB-based algorithm for calprotectin test strip analysis was unsuitable for commercial mobile applications due to slow processing speeds, high computational overhead, and poor mobile integration. The solution required optimization for real-time performance while maintaining diagnostic accuracy.

About the Client

Norwegian biotech company specializing in calprotectin testing, founded by the scientists who discovered calprotectin, focused on innovative diagnostic tools for home patient monitoring

Objectives for Commercial Application Development

  • Rewrite MATLAB algorithm in performance-optimized C++ implementation
  • Achieve real-time computer vision processing on mobile devices
  • Ensure seamless integration with both iOS and Android platforms
  • Validate processing speed improvements through mockup application testing
  • Prepare foundation for future feature expansion (barcode scanning)

Core System Functionalities

  • Smartphone camera-based test strip scanning
  • Real-time diagnostic result processing
  • Cross-platform iOS/Android support
  • Secure health data handling
  • Barcode metadata integration for test-specific parameters

Technology Stack Requirements

C++
MATLAB (legacy integration)
iOS Swift
Android Kotlin

System Integration Needs

  • Mobile OS camera APIs
  • Barcode scanning SDKs
  • Cloud storage for diagnostic records
  • Third-party health data compliance frameworks

Performance and Quality Attributes

  • Sub-200ms image processing latency
  • 99.9% diagnostic accuracy retention
  • HIPAA/GDPR compliance
  • Battery-efficient operation
  • Scalable architecture for future features

Expected Business Impact of Optimized Diagnostic Application

Enables commercial deployment of medical-grade diagnostic app with 10x processing speed improvement over PoC, reduces server costs through edge computing, supports rapid feature expansion (barcode integration), and positions Calpro as market leader in home diagnostic solutions with 85%+ user retention potential.

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