Description
7Semi BNO085 9-DOF Orientation IMU Fusion Breakout Qwiic
The 7Semi BNO085 9-DOF Orientation IMU Fusion Breakout (Qwiic) is a compact, high-performance 9-axis motion sensor module integrating a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer. It includes an onboard processor running advanced sensor-fusion firmware to provide ready-to-use orientation data such as quaternions, Euler angles, rotation vectors, linear acceleration, and gravity vectors. With Qwiic connectors for solder-free integration, it is ideal for robotics, drones, AR/VR, motion control, and IoT applications.
Technical Specifications:
- Sensor Type: 9-DOF IMU (accelerometer + gyroscope + magnetometer)
- Fusion Engine: Onboard SH-2/BNO08x sensor-fusion processor
- Accelerometer Range: ±8 g
- Gyroscope Range: ±2000 °/s
- Magnetometer Range: ±8 Gauss
- Interfaces: I²C (Qwiic), SPI, optional UART
- Supply Voltage: 3.3V
- Output Data Types: acceleration, angular velocity, magnetic field, rotation vector, game rotation vector, quaternions, Euler angles, linear acceleration, gravity vector
- Output Rates: gyro vector up to ~1000 Hz, rotation/game vectors up to ~400 Hz, accelerometer up to ~500 Hz, magnetometer up to ~100 Hz
- Calibration: Supports automatic and manual calibration modes
- Qwiic Connectors: JST-SH plug-and-play
Features:
- Full 9-axis orientation sensing with onboard fusion
- Provides drift-corrected quaternions and Euler angles
- Qwiic plug-and-play interface for fast, solder-free wiring
- High sampling rates for real-time motion tracking
- Multi-interface support for flexible integration
- Stable long-term calibration and low drift
- Compact breakout suitable for embedded and wearable devices
- Low-power consumption, ideal for battery-powered designs
- Compatible with Arduino, ESP32, STM32, Raspberry Pi, and more
- Excellent for accurate, low-latency motion sensing applications
Applications:
- Robotics navigation, stabilization, and control
- Drones and UAV attitude sensing
- AR/VR head tracking and motion controllers
- Wearable motion-tracking devices
- IoT systems requiring orientation feedback
- Gesture and activity recognition
- Indoor navigation and dead-reckoning
- Gaming controllers and interactive devices
- Research, prototyping, and motion analysis
- Smart consumer devices responding to movement



