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SparkFun VR IMU Breakout 體感跟蹤感測器 – BNO080 (Qwiic) 慣性測量單元

NT$1,150 NT$1,040

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描述

SparkFun VR IMU Breakout 體感跟蹤感測器 – BNO080 (Qwiic)

虛擬現實已經存在,但您不應該花費數百美元來獲取其背後的技術。幸運的是,這就是 SparkFun VR IMU Breakout 的用武之地。其核心是博世的 BNO080,這是一款三軸加速度計/陀螺儀/磁力計SiP組合,採用32位ARM Cortex M0 +封裝。BNO080慣性測量單元(IMU)可生成精確的旋轉矢量標題,非常適合VR和其他航向應用,靜態旋轉誤差為2度或更小。VR IMU正是我們一直在等待的:所有傳感器數據被組合併經過漂移校正成有意義的,準確的IMU信息。它非常適合需要感知方向或運動的任何項目。這個IMU分線板還配備了兩個I 2C Qwiic連接器,為了與微小的QFN封裝接口更容易一些。它是 SparkFun Qwiic 連接系統的一部分,因此您無需進行任何焊接即可了解事物的定位方式。但是,如果您更喜歡使用麵包板,我們仍然會打破0.1“空間引腳。

BNO080就可以為產品提供高精確度的多自由度運動控制。BNO080具備一個高性能的加速度計、磁力計和陀螺儀,可以提供精確的跟蹤精度和平滑的方向更新,提供優越的頭部跟蹤性能。(加速度計用於測量設備受力情況、磁力計用於定位設備的方位、陀螺儀用於測試設備自身旋轉)

SparkFun VR IMU突破 - BNO080(Qwiic)

BNO080旨在在基於Android的手機中實現,以僅使用您的手機處理虛擬現實護目鏡所需的所有計算。傳感器功能非常強大,功率強大,接口復雜。由於電路板上的焊接跳線,您可以在兩個不同的I 2 C地址之間進行選擇,但如果I 2 C不是您的第一個通信選擇,則傳感器也能夠通過SPI和UART進行通信!我們還編寫了一個基於I 2 C的庫,它提供了旋轉矢量(大多數人想從IMU讀取)以及加速度,陀螺儀和磁力計讀數,步數,活動分類器(如騎自行車)和校準。

規格與特色

    • 工作電壓:1.65V – 3.6V
    • 2 C(默認):高達400kHz
    • SPI:高達3MHz
    • UART:3Mbps
    • 旋轉矢量
      • 動態誤差:3.5°
      • 靜態誤差:2.0°
    • 遊戲旋轉矢量
      • 動態誤差:2.5°
      • 靜態誤差:1.5°
      • 標題漂移:0.5°/ min
    • 地磁旋轉矢量
      • 動態旋轉誤差:4.5°
      • 靜態旋轉誤差:3.0°
    • 重力角誤差:1.5°
    • 線性加速精度:0.35m / s 2
    • 加速度計精度:0.3m / s 2
    • 陀螺儀精度:3.1°/秒
    • 磁力計精度:1.4μT
    • 2個Qwiic連接端口

資源與文件下載

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.

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