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
Makers have long asked the question “why bother with an expensive PLC when I can just use an Arduino?” The answer comes down to the priorities and needs of industrial clients. In a factory automation setting, the client will prioritize durability, reliability, and serviceability over the one-time purchase price of the device itself. But to prove that Arduino’s professional turnkey solutions are just as easy to use as their developer-focused educational counterparts, Jeremy Cook leveraged an Arduino Opta micro PLC to build a drum machine. This isn’t any old drum machine that plays sound samples or synthesized notes, but rather a robotic drum machine that makes noise by banging on stuff like a true percussion instrument. Cook could have built this with any Arduino board and a few relays, but instead chose to implement the Opta and new Opta Digital Expansion. That is robust enough for serious commercial and industrial applications, but is still simple to program with the familiar Arduino IDE. Programmers can also use conventional PLC languages if they prefer. In this case, Cook made noise with relays and solenoids. The Opta has four built-in relays and Cook’s sketch flips one of them to make a sound analogous to a hi-hat. Cook added an Arduino Pro Opta Ext D1608S module with its solid-state relays for the other two “drums.” One of those fires a solenoid that taps a small hand drum (the kick drum sound), while the other controls a solenoid that hits a power supply enclosure (the snare sound). Together, those three sounds can cover the basics of a drum track. Cook’s sketch is a drum sequencer program that stores each sound sequence as array, looping through them until turned off. An Opta may be overkill for a project like this one, but this does a great job of demonstrating the ease at which an Arduino user can transition to professional PLC work.