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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
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.
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On any device
Dataset summary
Data collected
9m 0sSensors
weight, f1, f2, f3, f4, f5, f6, f7, f8, cpm, nsv, usv @ 1HzLabels
Hazardous, Regulated, UnsafeProject info
Project ID | 109647 |
Project version | 1 |
License | No license attached |
No. of views | 32,168 |
No. of clones | 3 |