Kutluhan Aktar / IoT AI-driven Food Irradiation Classifier Public

IoT AI-driven Food Irradiation Classifier

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

Hazardous.training.sample_429
Hazardous.training.sample_75
Regulated.training.sample_110
Regulated.training.sample_195
Hazardous.training.sample_77
Unsafe.training.sample_493
Regulated.training.sample_9
Unsafe.training.sample_312

Run this model

On any device

Dataset summary

Data collected
9m 0s
Sensors
weight, f1, f2, f3, f4, f5, f6, f7, f8, cpm, nsv, usv @ 1Hz
Labels
Hazardous, Regulated, Unsafe

Project info

Project ID 109647
Project version 1
License No license attached
No. of views 32,168
No. of clones 3