Arduino Tiny Machine Learning Kit
Ever wondered how to build a small intelligent device that reacts to sounds like a keyword being spoken, recognizes gestures like waving a magic wand, or even recognize faces? With this kit combined with the power of Tiny Machine Learning (TinyML) you can do all of that and much more! We want to show you how these possibilities can be part of your own tiny smart device!
Overview
The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers courses that are part of the Tiny Machine Learning (TinyML) specialization from EdX will equip you with all the tools you need to bring your ML visions to life!
The kit consists of a powerful board equipped with a microcontroller and a wide variety of sensors (Arduino Nano 33 BLE Sense*). The board can sense movement, acceleration, rotation, barometric pressure, sounds, gestures, proximity, color, and light intensity. The kit also includes a camera module (OV7675) and custom Arduino shield to make it easy to attach your components and create your very own unique TinyML project. You will be able to explore practical ML use cases using classical algorithms as well as deep neural networks powered by TensorFlow Lite Micro. The possibilities are limited only by your imagination!
“The Future of Machine Learning is Tiny and Bright. We’re excited to see what you’ll do!”
Prof. Vijay Janapa Reddi, Harvard University and Pete Warden, Google
*For us to be able to have this kit back in stock we produced a Nano 33 BLE Sense without the HTS221 sensor (temperature and humidity), this change does not affect this kit’s usage and/or content experience. This board is fully compatible with the kit’s documentation.
Tech specs
The Tiny Machine Learning Kit includes:
- 1 Arduino Nano 33 BLE Sense board
- 1 OV7675 Camera
- 1 Arduino Tiny Machine Learning Shield
- 1 USB A to Micro USB Cable
Conformities
Resources for Safety and Products
Manufacturer Information
The production information includes the address and related details of the product manufacturer.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
https://www.arduino.cc/
Responsible Person in the EU
An EU-based economic operator who ensures the product's compliance with the required regulations.
Arduino S.r.l.
Via Andrea Appiani, 25
Monza, MB, IT, 20900
Phone: +39 0113157477
Email: support@arduino.cc
Documentation
Get Inspired
Display real-time meeting room availability, synchronized with Google Calendar through Arduino IoT Cloud.
Watching back a slideshow of some of your favorite times of the past years is a great way to reflect on what’s happened and get excited for the future. The Electronic Cats crew wanted to incorporate this concept into a more simplified, interactive form which resulted in the Garrita project. Garrita is a homemade platform that lets an Arduino GIGA R1 WiFi with GIGA Display Shield transform into a highly mobile slideshow thanks to its larger onboard memory capacity and convenient layout. This year, the Electronic Cats were able to take their image shifter concept even further with Michi: an existing project that turns any conductive object into a capacitive touch-sensing controller. Whenever one of Michi’s inputs are toggled, the board sends a signal to the GIGA R1 WiFi that causes the current slide to advance to the next one. In order to go from a locally stored image to something on the Display Shield, users first transform their images into a more suitable format via the LVGL conversion tool. Once downloaded, the resulting files can be easily bundled into a Sketch before they become accessible in the application code. To see more about how the Electronic Cats built Garrita, you can read their write-up here on Hackster.io.
