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SparkFun VR IMU Breakout - BNO080 Combination triple-axis accelerometer/gyro/magnetometer SiP Virtual Reality Triple axis sensor board I2C and SPI Qwiic connector For Android-based cellular devices
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About SparkFun VR IMU Breakout - BNO080 Combination
Virtual 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 Bosch’s BNO080, a combination triple-axis accelerometer/gyro/magnetometer SiP, packaged with a 32-bit ARM Cortex M0+. The BNO080 Inertial Measurement Unit (IMU) produces accurate rotation vector headings, excellently suited for VR and other heading applications, with a static rotation error of two degrees or less. 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. This IMU breakout board has also been equipped with two I2C Qwiic connectors, in order 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 in case you prefer to use a breadboard. The 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. The sensor is quite powerful, and with power comes a complex interface. Thanks to the solder jumpers on the board, you will be able to select between two different I2C addresses, but if I2C is not your first communication choice, the sensor is capable of communicating over SPI and UART as well! We’ve also written an I2C-based library that provides the rotation vector (the reading most folks want from an IMU) as well as acceleration, gyro and magnetometer readings, step counting, activity classifier (such as riding a bike) and calibration. Gravity Angle Error: 1.5° Linear Acceleration Accuracy: 0.35m/s2 Accelerometer Accuracy: 0.3m/s2 Gyroscope Accuracy: 3.1° / sec Magnetometer Accuracy: 1.4µT
