The Eta Compute ECM3532 AI Sensor is a tiny development board featuring the ECM3532 TENSAI SoC with a Cortex-M3 microcontroller and a separate CoolFlux DSP to speed up machine learning operations. The board includes two microphones, one 6-axis accelerometer/gyroscope and one pressure/temperature sensor. The ECM3532 SoC on the development board supports Continuous Voltage Frequency Scaling, which allows the clock rate and voltage to be scaled at runtime to maximize energy efficiency, to run ultra-low power machine learning algorithms. This board is fully supported by Edge Impulse and you'll be able to sample raw data, build models, and deploy trained machine learning models directly from the studio. The AI Sensor is available for $99 from Digikey.
The Edge Impulse firmware for this development board is open source and hosted on GitHub: edgeimpulse/firmware-eta-compute-ecm3532.
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To set this device up in Edge Impulse, you will need to install the following software:
- Node.js v12 or higher.
- The Edge Impulse CLI version 1.7.0 or higher, and a serial monitor. Install by opening a command prompt or terminal and run:
npm install -g edge-impulse-cli
Problems installing the CLI?
See the Installation and troubleshooting guide.
With all the software in place it's time to connect the development board to Edge Impulse.
The Eta Compute EC3532 AI Sensor comes with a SparkFun FTDI Basic Breakout - 3.3V board in the box. This breakout board is used to program the AI Sensor and to relay serial messages back to your computer. You can also use a different FTDI cable, but make sure that it outputs 3.3V as the AI Sensor is not 5V tolerant.
Connect the SparkFun FTDI Basic Breakout board to the AI Sensor using connector J6. The most left pin on this connector (seen from the top, with the battery connector at the bottom) is GND, so make sure you connect the breakout board correctly. Then connect the breakout board to your computer. The LEDs on the on the AI Sensor should blink rapidly to indicate that the bootloader is running.
Also ensure you have the following jumper settings. Make sure J1 is populated, and that J3 is set to 3.3V.
The development board does not come with the right firmware yet. To update the firmware:
- Download the latest Edge Impulse firmware, and unzip the file.
- Open the flash script for your operating system (
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.
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.
With everything set up you can now build your first machine learning model with these tutorials:
Looking to connect different sensors? The Data forwarder lets you easily send data from any sensor into Edge Impulse.
Updated 2 months ago