I developed a complete IoT fitness platform that connects Linux-based edge devices with customized operating system and a micro-service backend via AWS IoT Core. The solution transformed mirrors into intelligent fitness coaches with real-time feedback and AI-powered movement analysis.
The market needed an innovative IoT solution for fitness and health tracking that enabled complex movement analysis in real-time. Challenges included connecting edge devices with cloud services, secure device management, automatic updates for remote devices, and processing video and 3D movement data with AI algorithms.
As Lead Architect, I designed a complete IoT platform with Linux-based edge devices and customized operating system. AWS IoT Core served as the central connection point for secure device communication. I implemented a secure fleet management system with automated over-the-air updates. Event-driven microservices processed data streams for video conferencing and real-time 3D motion capture. AI algorithms analyzed movement patterns and provided personalized feedback for training performance.
The platform enabled users to use their mirrors as intelligent fitness coaches. Real-time movement analysis with 3D motion capture provided precise feedback on training form. Video conferencing capabilities expanded possibilities for remote training and coaching. The secure fleet management ensured reliable device management and updates across large device fleets.
AWS IoT Core for device connectivity, Linux-based edge devices with custom OS, secure fleet management with automated OTA updates, event-driven microservices for data processing, video streaming and conferencing capabilities, real-time 3D motion capture for movement analysis, AI-powered algorithms for training feedback, CI/CD pipelines for continuous deployment.