Arijit Das
Published © MIT

Pneumonia Classification & Detection Using EdgeML

AI-based pneumonia classifier using Edge Impulse which can run on cheap devices consuming less than 1 mW.

ExpertFull instructions provided65 days3,408

Things used in this project

Hardware components

balenaFin
balenaFin
You can use a Raspberry Pi 3B/B+ or a Pi 4 instead of using the balenaFin.
×1
Compute Module 3 Lite
Raspberry Pi Compute Module 3 Lite
To be used in case of using the balenaFin.
×1
Camera Module
Raspberry Pi Camera Module
×1
Himax WE-I Plus EVB Endpoint AI Development Board
×1
OpenMV Cam H7 Plus
×1

Software apps and online services

Edge Impulse Studio
Edge Impulse Studio
balenaCloud
balenaCloud
TensorFlow TensoFlow Lite Micro
OpenMV IDE
GitHub Actions
Docker
VS Code
Microsoft VS Code
OpenCV
OpenCV
Jupyter Notebook
Jupyter Notebook

Story

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Schematics

Hardwares Used

balenaFin + Himax WE-1 EVB + OpenMV Cam = Cute Little Happy Family! :D

Code

GitHub Repo for balena + Raspberry Pi

This GitHub repo contains all the required stuff to deploy our project onto your Raspberry Pi using balena.

GitHub Repo for Other Hardwares

This Git repo contains all instructions on how to deploy/run the ML model locally on your Himax / OpenMV camera boards.

Credits

Arijit Das

Arijit Das

11 projects β€’ 60 followers
18 y/o β€’ Community Expert @Edge Impulse β€’ Co-Organizer @tinyML India β€’ Speaker @GitHub, @Docker, @Linaro β€’ Freshman @ SRMIST '28
Thanks to Aurelien Lequertier, Marc Pous, Jan Jongboom, and Zin Kyaw.

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