Arduino Nano 33BLE Sense Rev2 with Headers ABX00070

Core Features & Capabilities

Powerful MCU & Connectivity

• Nordic nRF52840 Cortex'M4F processor with BLE 5 multiprotocol radio supports Bluetooth Low Energy, long'range, and other protocols.

• 1MB flash + 256KB RAM gives ample room for embedded logic, data buffering, and on'device ML/AI.

• Native USB capability simplifies programming and serial communication.

Wireless & IoT Ready

• Bluetooth 5 / BLE lets the board act as BLE peripheral or central, connecting to phones, tablets, wearables, and BLE sensors.

• NFC'A tag support for pairing and interactions. Ideal for smart devices, wearables, remote controls, and IoT connectivity.

g packs multiple advanced sensors on the PCB eliminating the need for external modules:

Motion & Orientation

• BMI270 (6axis IMU: accelerometer + gyroscope)

• BMM150 (3axis magnetometer) Together create a 9axis motion unit for gesture, motion, and orientation tracking.

Environmental

• LPS22HB barometric pressure sensor

• HS300x humidity & temperature sensor Useful for weather stations, indoor air quality monitoring, or environmental logging.

Light & Proximity

• APDS9960 for light intensity, color measurement, proximity sensing, and gesture detection.

Audio / Voice

• MP34DT06JTR digitts audio processing and voice applications.

This multi'sensor platform makes the board excellent for TinyML, smart wearables, gesture/voice recognition, and interactive systems without external hardware.

I/O & Expansion

General I/O

• 14 digital pins (all PWM capable if needed).

• 8 analog inputs (12bit ADC) read sensors like potentiometers, light, temperature, etc.

• UART, SPI, I2C for external modules or sensor expansions.

• Interrupt capabilities on all digital pins for responsive designs.

Note: All I/O runs at 3.3V logic direct 5V signals can damage the board.

Software & Development

Program with Arduino IDE library for Bluetooth and BLE interactions. Compatible with TensorFlow Lite Micro and Edge Impulse tools for on'device AI and ML (gesture recognition, voice classification, anomaly detection).

Typical Use Cases

Wearables & Fitness Trackers motion, orientation, and gesture detection. Voice & Gesture Interaction onboard mic + gesture sensor for human'computer interfaces. Environmental Monitoring indoor air quality, temp/humidity, barometric data. Smart IoT Devices BLE hubs, remote controls, mobile health sensors. TinyML & Edge AI projects gesture/voice classification with tiny neural networks.

Quick Tech Specs

1MB

Why It Matters

The Nano 33 BLE Sense Rev2 blends advanced sensing, wireless connectivity, AI/ML support, and compact form factor in one board giving builders, makers, and researchers a complete embedded platform fostrong choice for next'gen IoT, wearables, and interactive devices