Processing blocks

Extracting meaningful features from your data is crucial to building small and reliable machine learning models, and in Edge Impulse this is done through processing blocks. We ship a number of processing blocks for common sensor data (such as vibration and audio):

• Raw Data

• Flatten

• Image

• Spectral features

• Spectrogram

• Audio MFE

• Audio MFCC

• Audio Syntiant

• IMU Syntiant

The source code of these blocks are available in the Edge Impulse processing blocks GitHub repository.

If you have a very specific sensor, want to apply custom filters, or are implementing the latest research in digital signal processing, follow our tutorial on Building custom processing blocks.