The Nordic Semiconductor nRF54L15 DK is a development board featuring the advanced nRF54L15 SoC — part of the nRF54L Series — which offers excellent performance and ultra-low power consumption. The DK allows for development and emulation of nRF54L15, nRF54L10, and nRF54L05 SoCs, and includes support for a wide range of applications with the nRF Connect SDK and tools. The nRF54L15 DK is fully supported by Edge Impulse. You’ll be able to sample raw sensor data, build and train machine learning models, and deploy them directly from the Edge Impulse Studio. This devkit does not include onboard sensors, so we recommend connecting it to a X-NUCLEO-IKS02A1 shield for accelerometer input.
Note: This devkit does not support stacking the shield directly. You’ll need to manually wire the IKS02A1 shield to the DK. A wiring diagram is available below.
If you prefer a different sensor, you can also use the Data forwarder, or modify the example firmware (built with nRF Connect SDK and Zephyr RTOS) to support any Zephyr-compatible accelerometers. The Edge Impulse firmware for this development board is open source and hosted on GitHub: edgeimpulse/firmware-nrf54l15.

nRF54L15 DK board

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Connecting to Edge Impulse

With software in place, here’s how to wire and connect the devkit.

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1. Wiring the IKS02A1 MEMS sensor shield

Unlike the nRF9161 DK, the nRF54L15 DK does not support direct stacking with the IKS02A1 shield. You must wire it manually. Use the following connections:
nRF54L15 DK PinIKS02A1 PinDescription
VDDIOVIOPower (1.8V)
GNDGNDGround
P1.12SDAI2C data
P1.11SCLI2C clock

Wiring Diagram Placeholder

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2. Connect the development board to your computer

Use a USB-C cable to connect the board. Then set the power switch to “on”.

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3. Flash the Edge Impulse firmware

  1. Connect the board over USB and ensure it appears as a JLINK USB device.
  2. Install and open the nRF Connect for Desktop and go to the Programmer application
  3. Drag and drop the nrf5340-dk-full.hex firmware from the downloaded zip in this Programmer application (this firmware contains both application and networking core firmware).
  4. Click “Erase & Write” and wait for device to boot up.
Open a terminal and run: 
edge-impulse-daemon
Log in when prompted and select your Edge Impulse project. You may be asked to select a UART interface. Choose the first SEGGER option: 
? Which device do you want to connect to?
❯ /dev/tty.usbmodemXXXXXX (SEGGER)
   /dev/tty.usbmodemXXXXXX (SEGGER)

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Next steps: build your ML model

Now that you’re connected: Looking to use other sensors? Use the Data forwarder to stream data from any microcontroller or sensor.