Arduino Nano 33 BLE Sense Rev2 is an AI-enabled, finger-size development board, built upon the nRF52840 microcontroller, assembled with various sensing modules, carrying Bluetooth Low Energy wireless capability, which can be programmed by both Arduino and Python. It provides great convenience for the realization of Embedded AI and IoT, which can be your great learning tool.
Built around the nRF52840 processor for 64MHz operation, 256 KB SRAM, and 1MB flash, it runs on Arm® Mbed™ OS, offering embedded AI processing ability and Bluetooth wireless capability. Supported by Arduino official libraries and programmable by verified MicroPython via OpenMV IDE, this board brings a great development experience for you.
Additionally, this board integrates multiple sensing modules and chips, to implement motion detection through two IMUs, audio capturing and analyzation, digital proximity, and ambient light measurement, RGB colors, and gestures detection, 24-bit pressure data output between 260 to 1260 hPa, temperature and humidity detection within 0.2 °C accuracy.
Whether realizing embedded AI or the Internet of Things, whether learning fundamental Machine Learning theories or directly deploying for practical purposes, this development board for all developers' levels will help beginners get quickly started with electronics and help advancers implement delicate smart projects. Thanks to its tiny form factor, wearable devices' constitution can be easy and in.
Highlighted Features
- AI-enabled Arduino Development Board: Build upon the nRF52840 microcontroller and runs on Arm® Mbed™ OS, competent for embedded ML
- Bluetooth Wireless Capability: Equip a 2.4 GHz Bluetooth® 5 low-energy module, and assembled an internal antenna
- All-in-one Sensing Functionality: Assemble multiple modules for the detection of motion, audio, proximity, gesture, barometric pressure, temperature, and humidity
- Finger-size Board: Portable, suited for anywhere
- Multiple Development Approaches: Python support, Lauterbach TRACE32 debugger support
Applications
- Enable Embedded AI with Edge Impulse or Tensor Flow Lite
- Wearable Devices
- Movements Recognization
- Room Temperature Monitoring and Controlling
- Gesture or Voice Recognition Device
Specifications
Board |
Name |
Arduino® Nano 33 BLE Sense Rev2 |
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 |