Edge Impulse Announces Official Support for Raspberry Pi 4

Today we are excited to announce our foray into embedded Linux with official support for the Raspberry Pi 4!

Now, users of Edge Impulse can select the right processor class for their embedded machine learning applications. Leverage our existing best-in-class support for low-power MCUs or venture into processor classes that run embedded Linux if highest performance is the objective.

We’ve brought the same great user experience our developers are already familiar with into the Linux domain (using full hardware acceleration on the Pi 4), with a refreshed set of tools and capabilities that makes deploying embedded machine learning models on Linux as easy as… Pi.

In addition, we are also thrilled to launch support for true object detection as part of our computer vision ML pipeline! Use a Raspberry Pi camera or plug in a standard USB web camera into one of the available USB slots on the Pi, and harness the raw power of higher performance compute and more sophisticated frameworks and libraries to facilitate computer vision applications.

Read more: https://www.edgeimpulse.com/blog/ei-e...

Get started: https://docs.edgeimpulse.com/docs/ras...