Luke Berndt / smelly-coat
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
Maintenance window planned next Monday, 04/29 at 5:00AM UTC (more)
About this project
Smelly Coat
Use an Arduino Nicla Sense ME to see if you need to freshen up after a workout
This project is part of the K-Way + Arduino partnership to develop a Smarter coat. These are two iconic Italian brands! Our project pitch was to build a smart sensor that would let you know if you got a little stinky after a workout and should take a shower. All of this would be powered using sensors and an ML model, developed in the Edge impulse studio.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Flatten training data | NPY file | 4995 windows | |
| Flatten training labels | NPY file | 4995 windows | |
| Classifier model | TensorFlow Lite (float32) | 2 KB | |
| Classifier model | TensorFlow Lite (int8 quantized) | 2 KB | |
| Classifier model | TensorFlow SavedModel | 8 KB | |
| Classifier model | Keras h5 model | 2 KB | |
| Anomaly detection model | JSON | 7 KB |
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Summary
Data collected
41m 44sProject info
| Project ID | 184007 |
| Project version | 2 |
| License | Apache 2.0 |
