"Invensense MPU-6887P:小巧6轴陀螺仪,降低功耗提高效率"
需积分: 5 78 浏览量
更新于2024-04-09
1
收藏 2.34MB PDF 举报
The MPU-6887P by InvenSense is a cutting-edge 6-axis MotionTracking device that features a 3-axis gyroscope, and a 3-axis accelerometer all packed into a compact 3x3x0.75mm (16-pin LGA) package. This innovative sensor also includes a 512-byte FIFO that helps reduce the traffic on the serial bus interface, ultimately leading to lower power consumption as it enables the system processor to burst read sensor data before entering a low-power mode. With the integration of the 6-axis MPU-6887P, manufacturers can streamline their production processes by eliminating the need for multiple costly and complex sensor selections.
InvenSense Inc. emphasizes its commitment to innovation by reserving the right to update specifications and information related to the MPU-6887P without prior notice, unless the product is in mass production and the datasheet has been officially designated for a specified Product/Process Change Notification Method regulation. As a subsidiary of the TDK Group, InvenSense operates out of its headquarters located at 1745 Technology Drive, San Jose, CA 95110, U.S.A., and can be contacted at 1(408) 988–7339 or through their website invensense.tdk.com. This document, numbered DS-000468 and revised as of 06/09/2021, serves as a testament to InvenSense's commitment to pushing the boundaries of technology.
Overall, the MPU-6887P represents a significant advancement in motion tracking technology, offering a compact and versatile solution for a wide range of applications. With its advanced features and integration capabilities, this sensor promises to enhance the performance and efficiency of various electronic devices. As InvenSense continues to drive innovation and advance the field of sensor technology, the MPU-6887P stands as a testament to the company's dedication to providing cutting-edge solutions to the market.
2020-07-03 上传
2020-06-06 上传
点击了解资源详情
点击了解资源详情
2023-05-26 上传
2021-02-15 上传
2013-07-24 上传
2019-09-17 上传
SZ00169
- 粉丝: 3
- 资源: 10
最新资源
- 深入浅出:自定义 Grunt 任务的实践指南
- 网络物理突变工具的多点路径规划实现与分析
- multifeed: 实现多作者间的超核心共享与同步技术
- C++商品交易系统实习项目详细要求
- macOS系统Python模块whl包安装教程
- 掌握fullstackJS:构建React框架与快速开发应用
- React-Purify: 实现React组件纯净方法的工具介绍
- deck.js:构建现代HTML演示的JavaScript库
- nunn:现代C++17实现的机器学习库开源项目
- Python安装包 Acquisition-4.12-cp35-cp35m-win_amd64.whl.zip 使用说明
- Amaranthus-tuberculatus基因组分析脚本集
- Ubuntu 12.04下Realtek RTL8821AE驱动的向后移植指南
- 掌握Jest环境下的最新jsdom功能
- CAGI Toolkit:开源Asterisk PBX的AGI应用开发
- MyDropDemo: 体验QGraphicsView的拖放功能
- 远程FPGA平台上的Quartus II17.1 LCD色块闪烁现象解析