Zin / ei_temperature_sensor

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.


Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Flatten training data NPY file 118 windows
Flatten training labels NPY file 118 windows
Flatten testing data NPY file 118 windows
Flatten testing labels NPY file 118 windows
Anomaly detection model JSON 2 KB


Data collected
11m 55s

Project info

Project ID 16389
Project version 2