Runs a Edge Impulse machine learning model thats classify loaded and discharged syringes to help in vaccination campains and use IOTA Tangle as descentralized database.
- Node Js
- Camera
- If there is no prebuilt binary available for @iota/client in your system you need Rust and Cargo, to build it yourself. Install them here.
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Clone this repo and navigate into it.
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Run
npm installto install dependencies -
Run
npm install edge-impulse-linux -g --unsafe-perm. -
Connect a camera and run
npm start- If you get an error that shows you all available cameras, run
node index.js modelfile.eim <camera name>
- If you get an error that shows you all available cameras, run
PS: You need to download your own model file from your Edge Impulse project/account, with exactly two labels in your dataset for working with this project: discharged_syringe and loaded_syringe, you can download your model file by running the following command: edge-impulse-linux-runner --download modelfile.eim