Nano 33 BLE Sense Rev2
The Arduino Nano 33 BLE Sense Rev2 combines a tiny form factor, different environment sensors and the possibility to run AI using TinyML and TensorFlow™ Lite. Whether you are looking at creating your first embedded ML application or you want to use Bluetooth® Low Energy to connect your project to your phone, the Nano 33 BLE Sense Rev2 will make that journey easy.
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The Arduino Nano 33 BLE Sense Rev2 is a great choice for any beginner, maker or professional to get started with embedded machine learning. It is build upon the nRF52840 microcontroller and runs on Arm® Mbed™ OS. The Nano 33 BLE Sense Rev2 not only features the possibility to connect via Bluetooth® Low Energy but also comes equipped with sensors to detect color, proximity, motion, temperature, humidity, audio and more.
A powerful 2.4 GHz Bluetooth® 5 Low Energy module from u-blox, with an internal antenna. Can be used to transmit data between different devices using the ArduinoBLE library.
The board provides a 9-axis inertial measurement unit featuring a 3D accelerometer, gyroscope and magnetometer and allows you to detect orientation, motion or vibrations.
This board can be programmed using MicroPython which is an implementation of the Python® programming language that comes with a subset of the Python® standard library.
Use the built-in omnidirectional digital microphone (MP34DT06JTR) to capture and analyze sound in real time to create a voice interface for your project. Use the PDM library to implement its functionalities in your projects.
Learn how to output raw sensor data using the built-in APDS9960 sensor and create a gesture control system. Together with the APDS9960 library you can control the built-in RGB LED through hand gestures.
The LPS22HB picks up on barometric pressure and allows for a 24-bit pressure data output between 260 to 1260 hPa. This data can also be processed to calculate the height above sea level of the current location.
The HS3003 capacitive digital sensor measures relative humidity and temperature. It has a temperature accuracy of ± 0.2 °C and is thereby perfectly suited to detect ambient temperature.