Project
Edge + Cloud vision diagnostics
Portable Blood Type Recognition Device
Portable Raspberry Pi and computer-vision instrument that classifies blood types from sample reactions in real time, with offline and online cloud sync.
Project Overview
A portable diagnostic device combining a Raspberry Pi camera stage with OpenCV image processing and deep learning to rapidly identify blood types from agglutination samples.
Engineered for both clinic and field use, the unit runs inference locally on the Raspberry Pi in offline mode and automatically synchronizes test results to a Next.js and Firebase web portal when connected.
Key Highlights
- Real-time optical agglutination analysis using OpenCV and deep learning on Raspberry Pi.
- Offline-first local storage with automatic Firebase cloud sync when connectivity returns.
- Companion Next.js web dashboard for viewing and managing patient test records.
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