Nano 33 BLE Sense
The Arduino Nano 33 BLE Sense 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 will make that journey easy.
The Arduino Nano 33 BLE Sense 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 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.
The LSM9DS1 inertial measurement unit features a 3D accelerometer, gyroscope and magnetometer and allows you to detect orientation, motion or vibrations in your project.
This board can be programmed with the Python programming language via the OpenMV IDE.
The MP34DT05 microphone allows to capture and analyze sound in real time and can be used to create a voice interface for your project.
The APDS-9960 chip allows for measuring digital proximity and ambient light as well as for detecting RGB colors and 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 HTS221 capacitive digital sensor measures relative humidity and temperature. It has a temperature accuracy of ± 0.5 °C (between 15-40 °C) and is thereby perfectly suited to detect ambient temperature.
Learn how to send data from one Nano 33 BLE Sense board to another board via I2C.
Learn how to send data from a Nano 33 BLE Sense board to another board via UART.
Learn how to read data from the LPS22HB barometric pressure sensor on the Nano 33 BLE Sense board.
Learn about the history of Bluetooth®, how BLE works and how to connect two Nano BLE devices over Bluetooth®.
Discover how to access the features on the Nano 33 BLE Sense using Python scripts.
Learn how to control the built in RGB LED on the Nano 33 BLE Sense board over Bluetooth®, using an app on your phone.
Learn how to train your board to recognize keywords in speech, using Edge Impulse.
Learn how to use the built in gesture sensor of the Nano 33 BLE Sense to control the built in RGB LED.
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.
Learn how to measure and print out the humidity and temperature values of your surroundings using the Nano 33 BLE Sense
Learn how to measure the relative position of the Nano 33 BLE Sense through the LSM9DS1 IMU sensor.
Learn how to measure the direction of force to emulate an object's crash using the Nano 33 BLE Sense.
Learn how to detect disturbances in the magnetic field around an electronic device using the Nano 33 BLE Sense board.
Learn how to create a soundmeter using the built-in microphone on 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.
Learn how to visualize the dominant primary colour of an object using the built in RGB sensor on the Nano 33 BLE Sense