Name: Original Arduino Nano BLE Sense Rev2 with headers
SKU: 439809

The Arduino Nano 33 BLE Sense is an evolution of the traditional Arduino Nano, but featuring a lot more powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM Cortex -M4 CPU running at 64 MHz. This will allow you to make larger programs than with the Arduino Uno (it has 1MB of program memory, 32 times bigger), and with a lot more variables (the RAM is 128 times bigger). The main processor includes other amazing features like Bluetooth pairing via NFC and ultra-low power consumption modes.

The Nano 33 BLE Sense is Arduino’s 3.3V AI-enabled board in the smallest available form factor: 45x18mm! The Arduino Nano 33 BLE Sense is a completely new board on a well-known form factor. It comes with a series of embedded sensors.

The main feature of this board, besides the complete selection of sensors, is the possibility of running Edge Computing applications (AI) on it using TinyML.

Note:

Arduino officials have replaced LSM9DS1 (9 axis) with a combination of two IMUs (BMI270 – 6 axis IMU and BMM150 – 3 axis IMU).

Technical Details

Microcontroller : nRF52840
Operating Voltage : 3.3
Input Voltage (Limit) : 21V
DC Current per I/O Pin : 15mA
Clock Speed : 64 MHZ
CPU Flash Memory : 1MB
SRAM : 256KB
EEPROM : None
Digital Input / Output Pins : 14
PWM pins : All Digital Pins
UART : 1
SPI: 1
I2C : 1
Analog Input Pins : 8 (ADC 12 bit 200 ksamples)
Analog Output Pins: Only through PWM (no DAC)
USB : Native in the nRF52840 Processor
IMU: 9 axis IMU Its a Combination of two (BMI270 – 6 axis IMU and BMM150 – 3 axis IMU).
Microphone : MP34DT05
Gesture, light, proximity : APDS9960
Barometric pressure: LPS22HB
Temperature, humidity : HTS221
Length (mm): 45
Width (mm) : 18
Weight (gm): 5

Features

Bluetooth pairing via NFC.
Embedded Artificial Intelligence, running Edge Computing applications (AI) on it using TinyML.
The communications chipset on the Nano 33 BLE Sense can be both a BLE and Bluetooth client and host device.
9-axis inertial sensor that makes this board ideal for wearable devices.
Humidity, and temperature sensors: to get highly accurate measurements of the environmental conditions.
Microphone to capture and analyze sound in real-time.
Barometric sensor by which you could make a simple weather station.
Gesture, proximity, light color, and light intensity sensor that estimates the room’s luminosity, but also whether someone is moving close to the board.