{"product_id":"sparkfun-vr-imu-breakout-bno086","title":"SparkFun VR IMU Breakout - BNO086","description":"\u003cp\u003eVirtual reality is in, but you shouldn't have to drop hundreds of dollars to gain access to the technology behind it. Luckily, that's where the SparkFun VR IMU Breakout comes in. At its heart is CEVA’s BNO086, a combination triple-axis accelerometer\/gyro\/magnetometer System in Package (SiP) with a 32-bit ARM© Cortex™ M0+. The BNO086 Inertial Measurement Unit (IMU) produces accurate rotation vector headings, excellently suited for VR and other heading applications, with a two-degree or less static rotation error. The VR IMU is exactly what we’ve been waiting for; all the sensor data is combined and drift-corrected into meaningful, accurate IMU information. It’s perfect for any project that needs to sense orientation or motion.\u003c\/p\u003e\n\u003cp\u003eThis IMU breakout board has also been equipped with two I2C Qwiic connectors to make interfacing with the tiny QFN package a bit easier. It’s part of SparkFun’s Qwiic connect system, so you won’t have to do any soldering to figure out how things are oriented. However, we still have broken out 0.1\"-spaced pins if you prefer to use a breadboard.\u003c\/p\u003e\n\u003cp\u003eThe BNO080 was designed to be implemented in Android-based cellular phones to handle all the computations necessary for virtual reality goggles using only your phone. With the BNO080 EOL, CEVA offers the drop-in replacement BNO086 with enhanced features (14-bit accelerometer fusion, reduced idle state power, and Interactive Calibration). The sensor is quite powerful, and with power comes a complex interface. Thanks to the solder jumpers on the board, you can select between two different I2C addresses. Still, if I2C is not your first communication choice, the sensor can communicate over SPI and UART! We’ve also written an I2C-based library that provides the rotation vector (the reading most folks want from an IMU), acceleration, gyro and magnetometer readings, step counting, and activity classifier (such as riding a bike).\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/introduction\/\"\u003eGet Started with the Sparkfun VR IMU Breakout Guide\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"\/\/www.youtube.com\/embed\/30WDbm8smP8?si=_Vh53EA1friUnWdZ\u0026amp;start=36\" height=\"315\" width=\"560\" allowfullscreen=\"allowfullscreen\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" frameborder=\"0\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOperating Voltage\n\u003cul\u003e\n\u003cli\u003e2.4V - 3.6V\u003c\/li\u003e\n\u003cli\u003eTypically\u003cspan\u003e \u003c\/span\u003e3.3V\u003cspan\u003e \u003c\/span\u003evia Qwiic cable\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eI\u003csup\u003e2\u003c\/sup\u003eC (Default): Up to 400kHz\u003c\/li\u003e\n\u003cli\u003eSPI: Up to 3MHz\u003c\/li\u003e\n\u003cli\u003eUART: 3Mbps\u003c\/li\u003e\n\u003cli\u003eRotation Vector\n\u003cul\u003e\n\u003cli\u003eDynamic Error: 3.5°\u003c\/li\u003e\n\u003cli\u003eStatic Error: 2.0°\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eGaming Rotation Vector\n\u003cul\u003e\n\u003cli\u003eDynamic Error: 2.5°\u003c\/li\u003e\n\u003cli\u003eStatic Error: 1.5°\u003c\/li\u003e\n\u003cli\u003eDynamic Heading Drift: 0.5° \/ min\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeomagnetic Rotation Vector\n\u003cul\u003e\n\u003cli\u003eDynamic Rotation Error: 4.5°\u003c\/li\u003e\n\u003cli\u003eStatic Rotation Error: 3.0°\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eGravity Angle Error: 1.5°\u003c\/li\u003e\n\u003cli\u003eLinear Acceleration Accuracy: 0.35m\/s\u003csup\u003e2\u003c\/sup\u003e\n\u003c\/li\u003e\n\u003cli\u003eAccelerometer Accuracy: 0.3m\/s\u003csup\u003e2\u003c\/sup\u003e\n\u003c\/li\u003e\n\u003cli\u003eGyroscope Accuracy: 3.1° \/ sec\u003c\/li\u003e\n\u003cli\u003eMagnetometer Accuracy: 1.4µT\u003c\/li\u003e\n\u003cli\u003e2x Qwiic Connection Ports\n\u003cul\u003e\n\u003cli\u003eI\u003csup\u003e2\u003c\/sup\u003eC Address: 0x4B (default), 0x4A\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eI\u003csup\u003e2\u003c\/sup\u003eC Pull-Up Resistors (2.2kΩ)\u003c\/li\u003e\n\u003cli\u003ePower LED\u003c\/li\u003e\n\u003cli\u003eJumpers\n\u003cul\u003e\n\u003cli\u003ePower LED\u003c\/li\u003e\n\u003cli\u003eI\u003csup\u003e2\u003c\/sup\u003eC Pull-up Resistors\u003c\/li\u003e\n\u003cli\u003eAddress Select\u003c\/li\u003e\n\u003cli\u003eProtocol Selection 0\u003c\/li\u003e\n\u003cli\u003eProtocol Selection 1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003eBoard Dimensions: 25.4mm x 30.48mm\u003c\/li\u003e\n\u003cli\u003eWeight: 3g\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/board_files\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC_Schematic_v10.pdf\"\u003eSchematic\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/board_files\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC_v10.zip?_gl=1*6rjfeh*_ga*MTM0ODM3NjM5Ni4xNjk0MDk0MzAw*_ga_T369JS7J9N*MTY5NDE2OTI5My42LjEuMTY5NDE3MTIzNC41OS4wLjA.\"\u003eEagle Files\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/img\/SparkFun_VR_IMU_Breakout_BNO086_Qwiic_Board_Dimension_v10.png\"\u003eBoard Dimensions\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/\"\u003eHookup Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBNO086\u003c\/strong\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/component_documentation\/BNO080_085-Datasheet_v1.16.pdf\"\u003eDatasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/component_documentation\/BNO080-BNO085-Migration-Guide.pdf\"\u003eMigration Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/component_documentation\/BNO080-BNO085-Tare-Function-Usage-Guide.pdf\"\u003eTare Function Usage Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/docs.sparkfun.com\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\/assets\/component_documentation\/Sensor-Hub-Transport-Protocol.pdf\"\u003eSensor Hub Transport Protocol\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.sparkfun.com\/qwiic\"\u003eQwiic Page\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/sparkfun\/SparkFun_BNO08x_Arduino_Library\"\u003eArduino Library\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/sparkfun\/SparkFun_VR_IMU_Breakout_BNO086_QWIIC\"\u003eGitHub Hardware Repo\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Sparkfun","offers":[{"title":"Default Title","offer_id":50847595004177,"sku":"SEN-22857","price":29.5,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0901\/6285\/6209\/files\/sparkfun-vr-imu-breakout-bno086-sparkfun-sen-22857-40879174713539.jpg?v=1735216130","url":"https:\/\/abcd3032.myshopify.com\/zh\/products\/sparkfun-vr-imu-breakout-bno086","provider":"Tayyab Zak","version":"1.0","type":"link"}