{"product_id":"adafruit-9-dof-orientation-imu-fusion-breakout-bno085-bno080-stemma-qt-qwiic-4754","title":"Adafruit 9-DOF Orientation IMU Fusion Breakout, BNO085 (BNO080), STEMMA QT\/Qwiic, 4754","description":"\u003ch3\u003eAdafruit 9-DOF Orientation IMU Fusion Breakout, BNO085 (BNO080), STEMMA QT\/Qwiic, 4754\u003c\/h3\u003e\n\u003cp id=\"b\"\u003eHere is the motion sensor you were looking for: The BNO085 provides you with\nreadable information without having to complete a study. This sensor combines\n3-axis accelerometer, gyroscope and magnetometer in a 5.2x3.8mm housing and\ndelivers processed sensor data directly to you thanks to the integrated Arm\nCortex M0 processor. Sensor performance: Acceleration vector: 3 axes in m\/s².\nAngle speed vector: 3 axes in wheel\/s. Magnetic field strength: 3 axes in µT.\nLinear acceleration: motion acceleration without gravity Gravity vector: in\nm\/s². Absolute Orientation: Four Point Quaternion Advanced functions:\nOptimised rotation vectors Calibrated \/ uncalibrated sensor reports Stability,\nmotion, activity detection and more We have packed the BNO085 module into a\nuser-friendly breakout board, complete with a voltage converter, level\nconverter, two mortise QT connectors and a 32.768kHz crystal. Get started\nquickly with our libraries for Arduino and CircuitPython. Simply plug in and\noff you go with your project! UART RVC mode delivers calibrated measurements\nfor heading and acceleration, perfect for simple applications such as robot\nvacuums. Check out our Arduino and Python guides to get started. Note: QT\ncable not included, but sold separately.\u003c\/p\u003e \n\n\u003ch3\u003eProduct Features\u003c\/h3\u003e\n  \u003cul class=\"a\"\u003e\n         \u003cli\u003eSuperior 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.\u003c\/li\u003e\n         \u003cli\u003eCOMPATIBILITY 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.\u003c\/li\u003e\n         \u003cli\u003eVARIOUS 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.\u003c\/li\u003e\n         \u003cli\u003eEasy 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.\u003c\/li\u003e\n         \u003cli\u003eUser-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!\u003c\/li\u003e\n  \u003c\/ul\u003e","brand":"Adafruit","offers":[{"title":"Default Title","offer_id":44375010181300,"sku":"de-B0DXKNF7LW","price":222.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0595\/9906\/1172\/files\/de-B0DXKNF7LW.jpg?v=1788270687","url":"https:\/\/auspowers.com\/products\/adafruit-9-dof-orientation-imu-fusion-breakout-bno085-bno080-stemma-qt-qwiic-4754","provider":"AusPower Australia","version":"1.0","type":"link"}