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
I have prepare home Automoation project using Arduino nano esp32
There are almost endless variations of clocks for sale on the internet today, but it is still easy to end up in a situation where you can't quite find a model with the style and features you want. Marco Zonca ended up with that problem while searching for a new clock to put in his music studio. Nothing on the market fit the bill, so he built this minimalist network-updated digital clock. Zonca wanted a simple design, the ability to adjust brightness, and NTP (Network Time Protocol) updates. There are clocks available with those features, but nothing in the style Zonca wanted. So he created the perfect clock for himself. It displays 24-hour time across a red LED matrix, lets the user control settings like brightness via Bluetooth® Low Energy communication, and always stays in sync with network time. An Arduino Nano ESP32 board, programmed through Arduino Web Editor, controls all of those functions. It mounts onto a custom PCB that Zonca designed for this clock. The PCB also hosts an 8×32 LED matrix display with MAX7219 driver. Three buttons on the PCB let the user select modes. The PCB fits into a black 3D-printed enclosure that reflects the overall minimalist style. Now Zonca has the perfect clock for his music studio. If you like the look of it, the sketch, PCB files, and 3D enclosure are all available on Hackster.io.