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
Control the air/fuel mixture for a better fuel economy of a engine with a Arduino Nano.
When you want to paint the walls in your bedroom that very specific shade of Misty Irish Green, all you have to do is head to your local hardware store and have them scan the corresponding card. The paint-mixing machine will then add the pigment to a white base and, a few minutes later, you have that exact color. So, shouldn’t you be able to do the same thing with acrylic paint for hobby purposes? Now you can, thanks to the “Color By Code” machine designed by Caltech students Frida Moreno and Asmat Kaur Taunque. Moreno and Taunque built Color By Code for a class project and it is, essentially, a hobby version of those hardware store paint-mixers intended for acrylic paint. As is the standard across many industries that deal with pigments, paint, and printing, this works using CMYK (cyan, magenta, yellow, key) color mixing. Here, the key is black and the machine takes an input color value for each component, then dispenses the paint in those ratios to achieve the desired hue. That all happens under the control of an Arduino Nano Every board. That operates peristaltic pumps, via L298N motor drivers, that dispense each color. Afterwards, a flushing procedure clears the lines before the next mix. The pumps fit into a 3D-printed stand, with the hoses dropping below to a waiting container. At this time, the user must set the color values through serial commands. But the team hopes to create a Bluetooth app in the future. They also plan to add a weight sensor, which would improve the machine’s accuracy.
