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
… Combined with Microchip’s ECC608 crypto chip on the Uno board, the microcontroller also provides hardware-based security for connecting projects to the cloud including AWS and Google. “As we grow, partner and invest, we will fuel the vast IoT and software markets across the industry,” said Banzi. “Inspiring the Arduino community with easy to deploy solutions that enable our users to have access to larger both flash and RAM memory for more demanding IoT projects.” “Arduino aims at supporting professional developers, makers and educators during the entire lifecycle of IoT product development, from the initial learning phases to mass deployment,” noted Violante. “Being based on the popular AVR technology, but on steroids, and with an enhanced WiFi connectivity, the Uno WiFi Rev 2 is a big step forward for all users that want to leverage the vast ecosystem of shields and libraries available for the traditional Uno form factor, in connected use cases.” Those heading to Maker Faire this weekend are invited to attend Massimo Banzi’s semi-annual ‘State of Arduino’ talk, where you can learn more about our latest developments including the MKR Vidor 4000, Uno WiFi Rev2, and our Arduino Day releases. Both the MKR Vidor 4000 and Uno WiFi Rev2 will be available on the Arduino online store at the end of June.
