- The Arduino tiny machine learning kit consists of the Arduino Nano 33 BLE Sense, a camera module, and a custom Arduino shield to make it easy to attach components and create unique TinyML Projects.
- The Arduino Nano 33 BLE Sense features a very powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz.
- The board packs a variety of sensors that can sense movement, acceleration, rotation, temperature, humidity, barometric pressure, sounds, gestures, proximity, color, and light intensity.
- It is the perfect board to get started on your journey in TinyML
The Arduino Tiny Machine Learning Kit is the perfect product to start and accelerate your journey in the new and upcoming domain of Tiny Machine Learning.
The Arduino BLE Sense board comes with a lot of interesting onboard sensors as shown in the below image that enables you to build a plethora of TinyML applications like (but not limited to) building a magic wand by recognizing gestures, reacting to sounds (keyword wake words like Alexa/Ok Google/Hey Siri/ Hey Cortana)
The kit also comes with a camera module (OV7675) which opens the possibility of running different image recognition and processing-based applications.
To make things even more convenient, the kit includes a custom Arduino shield to make it easy to attach your components along with the camera to create your very own unique TinyML projects.
Kit Content:
| Arduino Nano 33 BLE Sense | x 1 |
|---|---|
| OV7675 Camera | x 1 |
| Arduino Tiny Machine Learning Shield | x 1 |
| USB A to Micro USB Cable | x 1 |
Links you may find useful:
- Robocraze TinyML Video Series
- Harvard TinyML Professional Certificate
- Introduction to Embedded Machine Learning
Introductory Video on TinyML