Sony's Spresense
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is a small, but powerful development board with a 6 core Cortex-M4F microcontroller and integrated GPS, and a wide variety of add-on modules including an extension board with headphone jack, SD card slot and microphone pins, a camera board, a sensor board with accelerometer, pressure, and geomagnetism sensors, and Wi-Fi board - 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.
To get started with the Sony Spresense and Edge Impulse you'll need:
The Spresense Main Development board.
The Spresense Extension Board - to connect external sensors.
A micro-SD card to store samples - this is a necessary add-on as the board will not be able to operate without storing samples.
In addition, you'll want some sensors, these ones are fully supported (note that you can collect data from any sensor on the Spresense with the ):
For image models: the or the .
For accelerometer models: the .
For audio models: an electret microphone and a 2.2K Ohm resistor, wired to the extension board's audio channel A, following ().
Note: for audio models you must also have a FAT formatted SD card for the extension board, with the Spresense's DSP files included in a BIN folder on the card, and a .
For other sensor models: see below for SensiEDGE support.
The Edge Impulse firmware for this development board is open source and hosted on GitHub: .
To set this device up in Edge Impulse, you will need to install the following software:
On Linux:
GNU Screen: install for example via sudo apt install screen.
Problems installing the CLI?
With all the software in place it's time to connect the development board to Edge Impulse.
An SD card is necessary to use the Spresense. Make sure it is formatted in FAT format before inserting it into the Spresense.
Use a micro-USB cable to connect the main development board (not the extension board) to your computer.
The development board does not come with the right firmware yet. To update the firmware:
Open the flash script for your operating system (flash_windows.bat, flash_mac.command or flash_linux.sh) to flash the firmware.
Wait until flashing is complete. The on-board LEDs should stop blinking to indicate that the new firmware is running.
From a command prompt or terminal, run:
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.
With everything set up you can now build your first machine learning model with these tutorials:
If you see:
Upgrade pyserial:
If the edge-impulse-daemon or edge-impulse-run-impulse commands do not start it might be because of an error interacting with the SD card or because your board has an old version of the bootloader. To see the debug logs, run:
And press the RESET button on the board. If you see Welcome to nash you'll need to update the bootloader. To do so:
Install and launch the Arduino IDE.
Go to Preferences and under 'Additional Boards Manager URLs' add https://github.com/sonydevworld/spresense-arduino-compatible/releases/download/generic/package_spresense_index.json (if there's already text in this text box, add a , before adding the new URL).
Then go to Tools > Boards > Board manager, search for 'Spresense' and click Install.
Select the right board via: Tools > Boards > Spresense boards > Spresense.
Select your serial port via: Tools > Port and selecting the serial port for the Spresense board.
Select the Spresense programmer via: Tools > Programmer > Spresense firmware updater.
Update the bootloader via Tools > Burn bootloader.
Connect the Sony Spresense extension board to the Sony Spresense ensuring that the micro-SD card is loaded. Connect the SensiEDGE CommonSense in the orientation shown below - with the connection ports facing the same direction. The HD camera is optional but can be attached if you want to create an image based application.
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.
If prompted to select a device, choose commonsense:
Verify that the device is connected by going to the Devices tab in your project and checking for the green light as mentioned in the steps above.
Once your device is connected, you are now ready to collect data directly from your CommonSense board and start creating your machine learning application.
.
See the guide.
Install .
, and unzip the file.
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 for more information.
That's all! Your device is now connected to Edge Impulse. To verify this, go to , and click Devices. The device will be listed here.
.
Looking to connect different sensors? The lets you easily send data from any sensor into Edge Impulse.
Then update the firmware again (from ).
Edge Impulse has partnered with to add support for sensor fusion applications to the Sony Spresense by integrating the SensiEDGE CommonSense sensor extension board. The CommonSense comes with a wide array of sensor functionalities that connect seamlessly to the Spresense and the Edge Impulse studio. In addition to the Sony Spresense, the Spresense extension board and a micro-SD card, you will need the CommonSense board which is available to purchase on Mouser.
Once the boards are connected, start the from a command prompt or terminal:
If you want to reset the firmware to the default Sony-CommonSense firmware, you can download it , flash your Sony Spresense and be ready to start again.
