Kutluhan Aktar / IoT AI-driven Food Irradiation Classifier Public

Kutluhan Aktar / IoT AI-driven Food Irradiation Classifier

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About this project

Project Description

This artificial neural network model (ANN) makes predictions on food irradiation dose levels (classes) based on ionizing radiation, weight, and visible light (color) measurements:

  • Regulated
  • Unsafe
  • Hazardous

After building my neural network model, I deployed my model as an Arduino library and uploaded it to Beetle ESP32-C3 so as to run inferences.

home_1.jpg

Download block output

Title Type Size
Raw data training data NPY file 486 windows
Raw data training labels NPY file 486 windows
Raw data testing data NPY file 54 windows
Raw data testing labels NPY file 54 windows
NN Classifier model TensorFlow Lite (float32) 13 KB
NN Classifier model TensorFlow Lite (int8 quantized) 5 KB
NN Classifier model TensorFlow SavedModel 18 KB
NN Classifier model Keras h5 model 13 KB

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Summary

Data collected
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Project info

Project ID 109647
Project version 1
License No license attached