Adafruit 9-DOF Orientation IMU Fusion Breakout, BNO085 (BNO080), STEMMA QT/Qwiic, 4754
Adafruit 9-DOF Orientation IMU Fusion Breakout, BNO085 (BNO080), STEMMA QT/Qwiic, 4754
Here is the motion sensor you were looking for: The BNO085 provides you with readable information without having to complete a study. This sensor combines 3-axis accelerometer, gyroscope and magnetometer in a 5.2x3.8mm housing and delivers processed sensor data directly to you thanks to the integrated Arm Cortex M0 processor. Sensor performance: Acceleration vector: 3 axes in m/s². Angle speed vector: 3 axes in wheel/s. Magnetic field strength: 3 axes in µT. Linear acceleration: motion acceleration without gravity Gravity vector: in m/s². Absolute Orientation: Four Point Quaternion Advanced functions: Optimised rotation vectors Calibrated / uncalibrated sensor reports Stability, motion, activity detection and more We have packed the BNO085 module into a user-friendly breakout board, complete with a voltage converter, level converter, two mortise QT connectors and a 32.768kHz crystal. Get started quickly with our libraries for Arduino and CircuitPython. Simply plug in and off you go with your project! UART RVC mode delivers calibrated measurements for heading and acceleration, perfect for simple applications such as robot vacuums. Check out our Arduino and Python guides to get started. Note: QT cable not included, but sold separately.
Product Features
- Superior sensor fusion the BNO085 is not only a simple motion sensor, but combines acceleration, gyroscope and magnetometer in one compact module. With CEVA's advanced fusion technology, you get precise data that is immediately usable.
- COMPATIBILITY WITH THE PREDECESSOR - If you are already using the BNO080, no worries! The BNO085 is fully backward compatible, so you can easily continue using your existing setup. The new version also fixes specific SPI issues and works even more smoothly.
- VARIOUS DATA REPORTS - In addition to the classic readings, the BNO085 also offers exciting features such as activity classification and stable signal detection. Whether you want to track values for AR/VR applications or just movement, the BNO085 has the right solution.
- Easy connection options with two practical Stemma QT connectors, the sensor is very easy to connect. Whether you work with Arduino or Raspberry Pi, the quick connection makes setup a breeze.
- User-friendly software to make programming easier, we offer extensive libraries for CircuitPython and Arduino. Simply connect, install the library and you can create your own robot friends!