Announcing Support for the Particle Photon 2

Today we are thrilled to announce the official support for the Particle Photon 2 on the Edge Impulse platform. The Particle Photon 2 is a powerful IoT development board that integrates natively with Edge Impulse, enabling developers to build and deploy machine learning models for a wide range of sensor-based applications.

Particle Photon 2

To make it easy to build and deploy AI models on IoT devices we have partnered with Particle to provide edge machine learning (ML) and artificial intelligence (AI) for the Particle platform, in particular the P2 and Photon 2, giving developers and enterprises a quick and efficient way to collect data, build models, and then deploy to the Photon 2’s Realtek RTL8721DM A33 MCU, running at 200mHz.

Best of all, you can deploy your model to a connected device through the Particle Workbench IDE!

How do I get started?

To get started, you will need a Particle Photon 2 or compatible device, the PDM digital microphone in the Edge ML Kit, and a computer with the Particle Workbench IDE installed. For details on how to order a Photon 2 see the Particle Machine Learning documentation.

Once you have your Photon 2 connected to Edge Impulse, you can start collecting data, building models, and deploying to your Photon 2. You can find more information on how to collect data, build models, and deploy to your Photon 2. In our officially supported Particle Photon 2 documentation.

Alternatively if you already have a compatible Particle device you can skip ahead and follow the steps in the deploy your model as a particle library, which should work with most compatible particle devices.

By combining the power of Particle P2 and Photon 2 with the Edge Impulse platform, you can unlock new possibilities for sensor-driven IoT applications!

Edge Impulse’s tutorials:

We are excited to see the innovative projects you will create with the Particle Photon 2 and Edge Impulse! If you have any questions, please reach out to us on our forum or tag @EdgeImpulse and @Particle on our social media channels!


Are you interested in bringing machine learning intelligence to your devices? We're happy to help.

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