This month SensiML is pleased to announce the SensiML Analytics Toolkit now provides native support for building intelligent edge sensor algorithms on the Arduino Nano 33 Sense board.
A popular platform amongst makers, application innovators, and the TensorFlow Lite AI community, our support of theNano 33 Sense allows algorithms to be built and executed autonomously on the device using either classic classifiers or Google .
Based on the Nordic nRF52840, the Nano 33Sense has an array of sensors including microphone, (accel/gyro/mag), ambient light, pressure, temperature, and humidity . As such, it’s a capable and compact device for building SensiML algorithms for a variety of applications.
For building the firmware, we chose to use PlatformIO as it allows the user easy means for changing and adding build flags, as well as allowing for multiple build environments.
Our implementation also utilizes our latest raw Simple Streaming Interface, allowing for easy to configure custom capture.data collection interface we call the
Learn more about how to use SensiML Analytics Toolkit with Nano33 here.Sense and PlatformIO
To learn more about the Arduino Nano 33 BLE Sense visit the Arduino product page.
Supports simplified CSV Streaming mode output for easy to configure custom sensor capture.