Arduino Nano 33 BLE Sense Rev2 - nRF52840 processor, BLE, AI-enabled, multiple onabord sensors, finger-size, Arduino and Python support

• 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

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.

• Enable Embedded AI with Edge Impulse or Tensor Flow Lite
• Wearable Devices
• Movements Recognization
• Room Temperature Monitoring and Controlling
• Gesture or Voice Recognition Device

1. What is the difference between Rev1 and Rev2?

• Replacement of IMU from LSM9DS1 (9 axis) for a combination of two IMUs (BMI270 - 6 axis IMU and BMM150 - 3 axis IMU).
• Replacement of temperature and humidity sensor from HTS221 for HS3003.
• Replacement of microphone from MP34DT05 to MP34DT06JTR.

• Replacement of power supply MPM3610 for MP2322.
• Addition of VUSB soldering jumper on the top side of the board.
• New test point for USB, SWDIO and SWCLK.

2. Do I need to change my sketch used in the previous revision?

For sketches done using the libraries like LSM9DS1 for the IMU or HTS221 for the temperature and humidity sensor, for the new revision this libraries must be changed to Arduino_BMI270_BMM150 for the new combined IMU and Arduino_HS300x for the new temperature and humidity sensor.