Edge Impulse Inc. / room-classifier-demo Public

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 20s

Project info

Project ID 79333
Project version 3
License Apache 2.0