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.

DATASHEET

Main Features

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.

Bluetooth®

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.

Documentation

Library

IMU for Motion Detection

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.

Documentation

Library

Python® Support

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.

Documentation

Learn More

Microphone

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.

Documentation

Library

Proximity and Gesture Detection

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.

Documentation

Library

Barometric Pressure Sensor

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.

Documentation

Library

Temperature and Humidity Sensor

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.

Documentation

Library

Tech Specs

Please read: operating voltage

The microcontroller on the Arduino Nano 33 BLE Sense Rev2 runs at 3.3V, which means that you must never apply more than 3.3V to its Digital and Analog pins. Care must be taken when connecting sensors and actuators to assure that this limit of 3.3V is never exceeded. Connecting higher voltage signals, like the 5V commonly used with the other Arduino boards, will damage the Arduino Nano 33 BLE Sense Rev2.

To avoid such risk with existing projects, where you should be able to pull out a Nano and replace it with the new Nano 33 BLE Sense Rev2, we have the 5V pin on the header, positioned between RST and A7 that is not connected as default factory setting. This means that if you have a design that takes 5V from that pin, it won't work immediately, as a precaution we put in place to draw your attention to the 3.3V compliance on digital and analog inputs.

5V on that pin is available only when two conditions are met: you make a solder bridge on the two pads marked as VUSB and you power the Nano 33 BLE Sense Rev2 through the USB port. If you power the board from the VIN pin, you won't get any regulated 5V and therefore even if you do the solder bridge, nothing will come out of that 5V pin. The 3.3V, on the other hand, is always available and supports enough current to drive your sensors. Please make your designs so that sensors and actuators are driven with 3.3V and work with 3.3V digital IO levels. 5V is now an option for many modules and 3.3V is becoming the standard voltage for electronic ICs.

Board	Name	Arduino® Nano 33 BLE Sense Rev2
Board	SKU	ABX00069
Microcontroller	nRF52840
USB connector	Micro USB
Pins	Built-in LED Pin	13
	Digital I/O Pins	14
	Analog input pins	8
	PWM pins	5
	External interrupts	All digital pins
Connectivity	Bluetooth®	NINA-B306
Sensors	IMU	BMI270 (3-axis accelerometer + 3-axis gyroscope) + BMM150 (3-axis Magnetometer)
	Microphone	MP34DT06JTR
	Gesture, light, proximity	APDS9960
	Barometric pressure	LPS22HB
	Temperature, humidity	HS3003
Communication	UART	RX/TX
	I2C	A4 (SDA), A5 (SCL)
	SPI	D11 (COPI), D12 (CIPO), D13 (SCK). Use any GPIO for Chip Select (CS).
Power	I/O Voltage	3.3V
	Input voltage (nominal)	5-18V
	DC Current per I/O Pin	10 mA
Clock speed	Processor	nRF52840 64MHz
Memory	nRF52840	256 KB SRAM, 1MB flash
Dimensions	Weight	5gr
	Width	18 mm
	Length	45 mm

Compatibility

Essentials

Guides

Quickstart Guide

All you need to know to get started with your new Arduino board.

BLE Sense Rev2 Cheat Sheet

Learn about the Nano 33 BLE Sense Rev2's onboard sensors, supported serial & wireless protocols, pins and much more.

Nano Hardware Design Guide

Learn how to create your own custom hardware that is compatible with the Arduino Nano Family.

Community Projects

Discover interesting projects from the community based on the Nano 33 BLE Sense Rev2 board.

Suggested Libraries

ArduinoBLE

The ArduinoBLE library is designed for Arduino boards that have hardware enabled for Bluetooth® Low Energy and Bluetooth® 4.0 and above.

Arduino_BMI270_BMM150

The Arduino_BMI270_BMM150 library is designed to be used with the BMI270_BMM150 IMU system, which includes a 3-axis accelerometer, 3-axis gyroscope and a 3-axis magnetometer.

Arduino_HS300x

The HS300x library is designed for reading temperature and humidity values from the HS300x sensor.

PDM

The PDM library allows you to use PDM (Pulse-density modulation) microphones, like the MP34DT06JTR onboard the Arduino Nano 33 BLE Sense Rev2.

Arduino_APDS9960

The Arduino_APDS9960 library allows you to use the APDS9960 sensor available on the Arduino Nano 33 BLE Sense Rev2 to read gestures, color, light intensity and proximity.

Arduino Basics

Built-in Examples

Built-in Examples are sketches included in the Arduino IDE and demonstrate all basic Arduino commands.

Learn

Discover interesting articles, principles and techniques related to the Arduino ecosystem.

Language References

Arduino programming language can be divided in three main parts: functions, values (variables and constants), and structure.

Tutorials

Access Barometric Pressure Sensor Data on Nano 33 BLE Sense

Learn how to read data from the LPS22HB barometric pressure sensor on the Nano 33 BLE Sense board.

Barometric pressure

Sensor

Connecting Nano 33 BLE Devices over Bluetooth®

Learn about the history of Bluetooth®, how Bluetooth® Low Energy works and how to connect two Nano BLE devices over Bluetooth®.

Bluetooth®

Bluetooth® Low Energy

Controlling RGB LED Through Bluetooth®

Learn how to control the built in RGB LED on the Nano 33 BLE Sense board over Bluetooth®, using an app on your phone.

Bluetooth®

Bluetooth® Low Energy

Nano 33 BLE Sense Rev2 Cheat Sheet

Learn how to set up the Nano 33 BLE Sense Rev2, get a quick overview of the components, information regarding pins and how to use different Serial (SPI, I2C, UART) and Wireless (Wi-Fi, Bluetooth®) protocols.

Installation

I2C

SPI

UART

Bluetooth®

IMU

Nano 33 BLE Sense Community Projects

Discover interesting projects from the community based on the Nano 33 BLE Sense board.

Picovoice

Magic Wand

Edge Impulse with the Nano 33 BLE Sense

Learn how to train your board to recognize keywords in speech, using Edge Impulse.

Machine Learning

Edge Impulse

Microphone

Gesture Recognition with the Nano 33 BLE Sense

Learn how to use the built in gesture sensor of the Nano 33 BLE Sense to control the built in RGB LED.

Gesture

RGB

Sensor

Get Started With Machine Learning on Arduino

Learn how to train and use machine learning models with the Arduino Nano 33 BLE Sense Rev2

Machine learning

Tensorflow Lite Micro

Getting Started with OpenMV

In this tutorial, you will learn how to update the bootloader of your Nano 33 BLE (sense) board so that it may be used with OpenMV IDE, allowing to program it with MicroPython.

OpenMV

MicroPython

Bootloader

Reading Temperature & Humidity on Nano 33 BLE Sense Rev2

Learn how to measure and print out the humidity and temperature values of your surroundings using the Nano 33 BLE Sense Rev2

Humidity

Temperature

Sensor

Connecting Two Nano 33 BLE Sense Boards Through I2C

Learn how to send data from one Nano 33 BLE Sense board to another board via I2C.

I2C

Communication

Accessing Accelerometer Data on Nano 33 BLE Sense Rev2

Learn how to measure the relative position of the Nano 33 BLE Sense Rev2 through the BMi270 and BMM150 IMU system.

IMU

Accelerometer

Accessing Gyroscope Data on Nano 33 BLE Sense Rev2

Learn how to measure the direction of force to emulate an object's crash using the Nano 33 BLE Sense Rev2.

IMU

Gyroscope

Accessing Magnetometer Data on Nano 33 BLE Sense Rev2

Learn how to detect disturbances in the magnetic field around an electronic device using the Nano 33 BLE Sense Rev2 board.

IMU

Magnetometer

Controlling the On-Board RGB LED with Microphone

Learn how to create a soundmeter using the built-in microphone on the Nano 33 BLE Sense Rev2.

Microphone

Sound

Sensor

Flashing MicroPython Firmware to your Arduino Board

A guide for flashing the MicroPython firmware to your Arduino Nano 33 BLE Sense, Arduino RP2040 Connect, or Portenta H7, to let you program your board in the MicroPython language.

MicroPython

Proximity Detection with the Nano 33 BLE Sense

Learn how to control the built in RGB LED using the built in proximity sensor of the Nano 33 BLE Sense.

Proximity

Sensor

Detecting Colors with the Nano 33 BLE Sense Board

Learn how to visualize the dominant primary colour of an object using the built in RGB sensor on the Nano 33 BLE Sense

RGB

Color detection

Sensor

Voice Commands With The Arduino Speech Recognition Engine

Control your device with voice commands using the Arduino Speech Recognition Engine

speech recognition

voice commands

machine learning

Lauterbach TRACE32 GDB Front-End Debugger for Nano 33 BLE

This tutorial will show you how to use the Lauterbach TRACE32 GDB front-end debugger to debug your Nano 33 BLE application via GDB on a serial interface.

Debugging

Lauterbach

TRACE32

Connecting Two Nano 33 BLE Sense Boards Through UART

Learn how to send data from a Nano 33 BLE Sense board to another board via UART.

UART

Communication