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Arduino Tiny Machine Learning Kit

SKU AKX00028 Barcode 7630049202771 Show more
Original price €0
Original price €63,26 - Original price €63,26
Original price
Current price €63,26
€63,26 - €63,26
Current price €63,26
VAT included

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:
 

Conformities

The following Declarations of Conformities have been granted for this board:
CE
UKCA
REACH
For any further information about our certifications please visit docs.arduino.cc/certifications

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

PROJECT HUB
Create a Human-Machine Interface (HMI) with Arduino
Create a Human-Machine Interface (HMI) with Arduino
Project Tutorial by sabas1080

Learn how to build a complete HMI with Arduino that will allow you to interact with your projects in an intuitive and visual way.

read more
BLOG
Machine-to-machine communication is easier than ever: Opta now supports OPC UA
Machine-to-machine communication is easier than ever: Opta now supports OPC UA
November 5, 2024

OPC Unified Architecture – OPC UA in short – is a cross-platform, open-source machine-to-machine communication protocol for industrial automation. It was developed by the Open Platform Communications (OPC) Foundation and is defined in detail in the IEC 62541 standard. With the release of the Arduino_OPC_UA library we enable users to convert any product from our Arduino Opta range into an OPC UA-enabled device. Step-by-step guide to setting up OPC UA on Arduino Opta It’s as simple as uploading a single sketch onto your Opta and connecting it to an Ethernet network. Once uploaded, the OPC UA firmware exposes the Arduino Opta’s analog and digital inputs, the user button and LED (only Arduino Opta WiFi), as well as its relay outputs as properties that can be read from or written to using OPC UA. OPC UA communication is performed using OPC UA binary encoding via TCP sockets. Arduino_OPC_UA is a port of the Fraunhofer open62541 library implementing IEC 62541 in highly portable C99 for both Windows and Linux targets. One serious challenge during the porting of open62541 was to decide on sensible tradeoffs concerning RAM consumption, as using OPC UAs full namespace zero (NS0) requires up to 8 MB of RAM while the STM32H747 powering the Arduino Opta has a total of 1 MB of SRAM to offer – some of which already allocated by the the Arduino framework for the Arduino Opta. Expand functionality with Arduino Opta Modules and OPC UA integration Additionally, Arduino_OPC_UA supports the automatic discovery, configuration and exposure as OPC UA objects of the recently released Arduino Opta expansion modules. Currently three different expansion modules exist: Arduino Opta Analog Expansion (A0602), Arduino Opta Digital Expansion with electro-mechanical relay outputs (D1608E), and with solid-state relay outputs (DS1608S). During system start-up, the Arduino Opta’s expansion bus is queried for connected expansion modules and automatically configures them and

read more

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