Edge Impulse Inc. / room-classifier-demo
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About this project
Example project for showcasing sensor fusion on the Arduino Nano 33 BLE Nano. Environmental data (temperature, humidity, and pressure) is combined with interactive sensor data (red, green, and blue light values from the APDS-9960) to determine the location of the board. For this demo, possible locations are bedroom, hallway, and outside. Note that these assume the environmental factors do not change (e.g. lights and temperature are static), and they are unique to one particular house.
To learn more about sensor fusion, see this guide.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Flatten training data | NPY file | 836 windows | |
| Flatten training labels | NPY file | 836 windows | |
| Flatten testing data | NPY file | 228 windows | |
| Flatten testing labels | NPY file | 228 windows | |
| NN Classifier model | TensorFlow Lite (float32) | 20 KB | |
| NN Classifier model | TensorFlow Lite (int8 quantized) | 7 KB | |
| NN Classifier model | TensorFlow SavedModel | 25 KB | |
| NN Classifier model | Keras h5 model | 19 KB | |
| NN Classifier model | Model evaluation metrics (JSON file) | - |
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Summary
Data collected
9m 20sProject info
| Project ID | 79333 |
| Project version | 3 |
| License | Apache 2.0 |
