Seeed XIAO nRF52840 Sense

The Seeed Studio XIAO nRF52840 Sense incorporates the Nordic nRF52840 chip with FPU, operating up to 64 MHz, mounted multiple development ports, carrying Bluetooth 5.0 wireless capability and is able to operate with low power consumption. Featuring onboard IMU and PDM, it can be your best tool for embedded Machine Learning projects. Seeed Studio has added support for this development board to Edge Impulse, so you can sample raw data and build machine learning models from the studio. The board is available for 15.99 USD directly from: Seeed.

Setting up your development board

To set up your Seeed Studio XIAO nRF52840 Sense, follow this guide: Seeed Studio XIAO nRF52840 Sense Edge Impulse Getting Started - Seeed Wiki.

Next steps: building a machine learning model

With everything set up you can now build your first machine learning model: Building a machine learning model - Seeed Wiki.

Looking to connect different sensors? The Data forwarder lets you easily send data from any sensor into Edge Impulse.

Deploying back to device

With the impulse designed, trained and verified you can deploy this model back to your XIAO nRF52840 Sense. This makes the model run without an internet connection, minimizes latency, and runs with minimum power consumption. Edge Impulse can package up the complete impulse - including the signal processing code, neural network weights, and classification code - up in a single library that you can run on your development board.

The easiest way to deploy your impulse to the Seeed XIAO nRF52840 Sense is via an Arduino library. See Running your impulse locally on your Arduino for more information.