Renesas CK-RA6M5 Cloud Kit

The Renesas CK-RA6M5, Cloud Kit for RA6M5 MCU Group, enables users to experience the cloud connectivity options available from Renesas and Renesas Partners. A broad array of sensors on the CK-RA6M5 provide multiple options for observing user interaction with the Cloud Kit. By selecting from a choice of add-on devices, multiple cloud connectivity options are available.

The Edge Impulse firmware for this development board is open source and hosted on GitHub: edgeimpulse/firmware-renesas-ck-ra6m5.

Installing dependencies

To set this device up in Edge Impulse, you will need to install the following software:

1. Edge Impulse CLI.

2. On Linux:

   • GNU Screen: install for example via sudo apt install screen.

Updating the firmware

Edge Impulse Studio can collect data directly from your CK-RA6M5 Cloud Kit and also help you trigger in-system inferences to debug your model, but in order to allow Edge Impulse Studio to interact with your CK-RA6M5 Cloud Kit you first need to flash it with our base firmware image.

1. Download the base firmware image

Download the latest Edge Impulse firmware, and unzip the file, then locate the flash-script folder included, which we will be using in the following steps.

2. Connect the CK-RA6M5 Cloud Kit to your computer

1. Check that:

   • J22 is set to link pins 2-3

   • J21 link is closed

   • J16 Link is open

2. Connect J14 and J20 on the CK-RA6M5 board to USB ports on the host PC using the 2 micro USB cables supplied.

3. Power LED (LED6) on the CK-RA6M5 board lights up white, indicating that the CK-RA6M5 board is powered on.

3. Load the base firmware image

Open the flash script for your operating system (flash_windows.bat, flash_mac.command or flash_linux.sh) to flash the firmware.

Connecting to Edge Impulse

1. Setting keys

From a command prompt or terminal, run:

edge-impulse-daemon

This will start a wizard which will ask you to log in, and choose an Edge Impulse project. If you want to switch projects run the command with --clean.

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.

2. 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 on the left sidebar. The device will be listed there:

Next steps: Build a machine learning model

With everything set up you can now build your first machine learning model with these tutorials:

• Building a continuous motion recognition system.

• Recognizing sounds from audio.

• Responding to your voice.

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