The Nordic Semiconductor nRF5340 DK is a development board with dual Cortex-M33 microcontrollers, QSPI flash, and an integrated BLE radio - and it's fully supported by Edge Impulse. You'll be able to sample raw data, build models, and deploy trained machine learning models directly from the studio. As the nRF5340 DK does not have any built-in sensors we recommend you to pair this development board with the X-NUCLEO-IKS02A1 shield (with a MEMS accelerometer and a MEMS microphone). The nRF5340 DK is available for around 50 USD from a variety of distributors.
With all the software in place it's time to connect the development board to Edge Impulse.
1. Plugging in the X-NUCLEO-IKS02A1 MEMS expansion shield
Remove the pin header protectors on the nRF5340 DK and plug the X-NUCLEO-IKS02A1 shield into the development board.
X-NUCLEO-IKS02A1 shield plugged in to the nRF5340 DK
Note: Make sure that the shield does not touch any of the pins in the middle of the development board. This might cause issues when flashing the board or running applications.
Make sure the shield does not touch any of the pins in the middle of the development board.
2. Connect the development board to your computer
Use a micro-USB cable to connect the development board to your computer. There are two USB ports on the development board, use the one on the short side of the board. Then, set the power switch to 'on'.
Connect a micro USB cable to the short USB port on the short side of the board (red). Make sure the power switch is toggled on.
3. Update the firmware
The development board does not come with the right firmware yet. To update the firmware:
1.
The development board is mounted as a USB mass-storage device (like a USB flash drive), with the name JLINK. Make sure you can see this drive.
This starts a wizard which asks you to log in and choose an Edge Impulse project. If you want to switch projects run the command with --clean.
The nRF5340 DK exposes multiple UARTs. If prompted, choose the bottom one:
1
? Which device do you want to connect to? (Use arrow keys)
2
/dev/tty.usbmodem0009601707953 (SEGGER)
3
/dev/tty.usbmodem0009601707951 (SEGGER)
4
❯ /dev/tty.usbmodem0009601707955 (SEGGER)
Copied!
Alternatively, recent versions of Google Chrome and Microsoft Edge can collect data directly from your development board, without the need for the Edge Impulse CLI. See this blog post for more information.
5. Verifying that the device is connected
That's all! Your device is now connected to Edge Impulse. To verify this, go to your Edge Impulse project, and click Devices. The device will be listed here.
Device connected to Edge Impulse.
Next steps: building a machine learning model
With everything set up you can now build your first machine learning model with these tutorials: