DEVELOPING A CROSS-PLATFORM SOLUTION FOR A SMART TEXTILE COMPANY
Discover how DBB Software partnered with a Canadian smart textile company to create a cross-platform mobile app that gathers and processes user parameters and biometric data from innovative textile garments.
Industry
Healthcare & Biotech
Service
Mobile App Development
Team
4 FE Developers
Project State
January 2021 - August 2022
Country
Canada
About the Client
MyAnt, a pioneer in the smart textile industry, specializes in designing garments embedded with biometric sensors. Their mission is to empower users to monitor health metrics like heart rate, ECG, and activity levels seamlessly through everyday clothing, enhancing wellness and healthcare outcomes.
THE CLIENT'S INITIAL REQUEST
The client approached DBB Software to develop a cross-platform mobile application to complement their smart textile garments, with a focus on collecting and analyzing user parameters and biometric data:
Cross-Platform Compatibility
Build an app for iOS and Android to maximize user reach.
01
Biometric Data Integration
Enable seamless connectivity with garment sensors to collect metrics like heart rate, ECG, and steps.
02
User Parameter Management
Allow users to view, manage, and share personalized health data.
03
Real-Time Processing
Ensure the app processes and displays biometric insights instantly for user accessibility.
04
SOLUTIONS WE DELIVERED
As a result, the DBBS team delivered a comprehensive cross-platform and feature-rich solution:
Cross-Platform Development
Utilized Flutter to create a single-codebase app compatible with iOS and Android, reducing development time and ensuring consistent performance across platforms.
Biometric Sensor Integration
Engineered a robust Bluetooth Low Energy (BLE) module to connect the app with smart textile sensors, enabling real-time collection of biometric data such as heart rate, ECG, and movement patterns.
User Data Dashboard
Designed an intuitive interface with a WYSIWYG-style dashboard, allowing users to visualize biometric data through charts and graphs, manage historical records, and set sharing preferences with healthcare providers.
Real-Time Data Processing
Implemented a lightweight backend using Node.js and MongoDB to process incoming biometric data, delivering insights to users within seconds, optimized for low latency even with high data volumes.
RESULTS ACHIEVED
Infrastructure Cost Savings
Achieved considerable cost reduction through the use of free-tier Lambda functions on AWS services.
Convenient Mobile App
Developed an app to assist patients with tracking their diabetic retinopathy risk.
Admin & Provider Portals
Created portals for healthcare providers and administrators for maximum control over operations.
