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Development of Mobile Application for Advanced Trichoscopy Analysis

leobit.com

Health & Fitness

Challenges with Existing Trichoscopy Workflow

The client's current trichoscopy analysis process relies on a specialized, proprietary hardware case with a prototype software solution. The lack of direct access to the hardware during development and the need for precise image processing and analysis have created challenges in achieving optimal performance and accuracy. There's a need for a robust, cross-platform mobile application to enhance diagnostic efficiency and reliability.

About the Client

A global healthtech company specializing in innovative hair research and diagnostics solutions, offering patented technology for precise and objective trichoscopy measurements.

Project Goals

Develop a cross-platform mobile application (iOS and Android) for analyzing scalp and hair conditions using smartphone images.
Implement a computer vision algorithm to automatically calculate key hair parameters (area, count, density, length, ratios).
Enable efficient image processing and analysis with minimal latency.
Provide a user-friendly interface for doctors to capture, annotate, and analyze patient images.
Ensure reliable data storage, synchronization, and security.
Offer real-time user support within the application.
Extend camera capabilities to allow for precise lens control and adapt to various device hardware configurations.

Application Functionality

Image capture and annotation (zoom, tagging).
Automated hair parameter calculation (area, count, density, length, ratios).
Image distortion correction.
Patient profile management (new/existing).
Data storage and synchronization (local & cloud).
Real-time user support (Intercom integration).
Camera hardware adaptation (lens selection, device compatibility).
Offline mode support with data synchronization.

Technology Stack

Flutter

Dart FFI

OpenCV

C++

Firebase

SQLite 3

Camera2/CameraX APIs

External System Integrations

Firebase (for distribution, testing, error monitoring)
Intercom (for user support)

Non-Functional Requirements

High performance image processing (fast analysis times).
Scalability to handle a large number of users and data.
Security to protect patient data.
Reliability and stability.
Cross-platform compatibility (iOS and Android).

Expected Business Impact

This application will significantly improve the efficiency and accuracy of hair diagnostics, leading to faster diagnosis, better treatment monitoring, and enhanced patient care. It will also position the client as a leader in innovative hair research and diagnostics by leveraging their patented technology in a user-friendly mobile solution. The improved diagnostic workflow is expected to increase client revenue and market share.