https://www.linkedin.com/pulse/introducing-project-kinect-azure-alex-kipman/

Hello everyone!

Microsoft Build is upon us once again. It’s my favorite time of year because it’s so exciting to introduce our developer community to the newest tools that will empower them to accelerate the world’s digital transformation and create the future.

During Satya Nadella’s Build keynote, he introduced the world to one such tool that may sound a little familiar: Project Kinect for Azure. I wanted to take a little more time to expand upon this project, what it means and the role it will play in enabling developers to apply AI over the real world in profound new ways.

What Satya described is a key advance in the evolution of the intelligent edge; the ability for devices to perceive the people, places and things around them. One of the things that makes Project Kinect for Azure unique and compelling is the combination of our category-defining depth-sensor with our Azure AI services that, together, will enable developers to make the intelligent edge more perceptive than ever before.

The technical breakthroughs in our time-of-flight (ToF) depth-sensor mean that intelligent edge devices can ascertain greater precision with less power consumption. There are additional benefits to the combination of depth-sensor data and AI. Doing deep learning on depth images can lead to dramatically smaller networks needed for the same quality outcome. This results in much cheaper-to-deploy AI algorithms and a more intelligent edge.

Earlier this year, Cyrus Bamji, an architect on our team, presented a well-received paper to the International Solid-State Circuits Conference (ISSCC) on our latest depth sensor. This is the sensor that Satya described onstage at the Build conference and is also the sensor that will give the next version of HoloLens new capabilities. The technical characteristics that make this new depth sensor best-in-class include:

  • Highest number of pixels (megapixel resolution 1024x1024)
  • Highest Figure of Merit (highest modulation frequency and modulation contrast resulting in low power consumption with overall system power of 225-950mw)
  • Automatic per pixel gain selection enabling large dynamic range allowing near and far objects to be captured cleanly
  • Global shutter allowing for improved performance in sunlight
  • Multiphase depth calculation method enables robust accuracy even in the presence of chip, laser and power supply variation.
  • Low peak current operation even at high frequency lowers the cost of modules

The Kinect brand has a storied history, from gaming peripheral and developer technology to the depth-sensing magic inside Microsoft HoloLens, the world’s first fully self-contained holographic computer. HoloLens today features depth-camera technology evolved from Kinect hardware, which, in conjunction with other cutting-edge technology, is already transforming businesses as we embrace the era of mixed reality.

Our vision when we created the original Kinect for Xbox 360 was to produce a device capable of recognizing and understanding people so that computers could learn to operate on human terms. Creative developers realized that the technology in Kinect (including the depth-sensing camera) could be used for things far beyond gaming. In the second generation of Kinect we improved the gaming peripheral but also provided developers with a version that could connect to a PC with Kinect for Windows. The outcome was great innovation and creativity from our developer community. We discontinued production of second generation Kinects last year, however we worked with Intel to ensure Windows developers can continue building PC solutions with Intel’s RealSense depth cameras.

With HoloLens, we saw incredible results when we took some of the magic of Kinect and applied it in a mixed reality context. The current version of HoloLens uses the third generation of Kinect depth-sensing technology to enable it to place holograms in the real world. With HoloLens we have a device that understands people andenvironments, takes input in the form of gaze, gestures and voice, and provides output in the form of 3D holograms and immersive spatial sound. With Project Kinect for Azure, the fourth generation of Kinect now integrates with our intelligent cloud and intelligent edge platform, extending that same innovation opportunity to our developer community.

Project Kinect for Azure unlocks countless new opportunities to take advantage of Machine Learning, Cognitive Services and IoT Edge. We envision that Project Kinect for Azure will result in new AI solutions from Microsoft and our ecosystem of partners, built on the growing range of sensors integrating with Azure AI services. I cannot wait to see how developers leverage it to create practical, intelligent and fun solutions that were not previously possible across a raft of industries and scenarios.

To learn more, please visit https://developer.microsoft.com/perception

I’m thrilled to continue the Kinect journey with all of you through Project Kinect for Azure, and we look forward to sharing much more with you over the coming months. As always, feel free to reach out to me on Twitter in the meantime.

Enjoy the rest of Microsoft Build 2018!

Alex

Introducing Project Kinect for Azure的更多相关文章

  1. How to Use Lucene.NET with Windows Azure SQL Database

    http://social.technet.microsoft.com/wiki/contents/articles/2367.how-to-use-lucene-net-with-windows-a ...

  2. 在Azure Cloud Service中部署Java Web App(1)

    Microsoft Azure是一个开放的,灵活的云平台,除了对自家的.Net平台有良好的支持外,对于各种开源的软件,语言,工具,框架都有着良好的支持,比如Java,Php,Python等等,你可以使 ...

  3. [Windows Azure] What is a Storage Account?

    What is a Storage Account? A storage account gives your applications access to Windows Azure Blob, T ...

  4. 为Azure Web Site 添加ADFS验证支持之二 在代码里使用ADFS

    下面我们来创建一个MVC 5.0的ASP.Net程序,并且将它部署到Azure Web Site上 通过Visual Studio 2015创建Web Project 在选择ASP.net模板的地方, ...

  5. 云计算之路-试用Azure:Azure内置的负载均衡是四层的

    当初迁移至阿里云遇到的第一个问题是在程序中通过Request.UserHostAddress得到的是负载均衡(SLB)的内网IP,而不是用户的真实IP.真实IP存储在服务器变量HTTP_X_Forwa ...

  6. 【Azure DevOps系列】Azure DevOps生成代码覆盖率

    前言 在做单元测试时,代码覆盖率可以作为我们衡量代码质量的一个指标,本章我们将使用Azure DevOps帮助我们生成代码覆盖率的结果.Azure DevOps构建管道还是具有代码覆盖率选项的,在Vi ...

  7. Architecture options to run a workflow engine

    This week a customer called and asked (translated into my own words and shortened): “We do composite ...

  8. v2ex上100个话题

    V2EX 是创意工作者们的社区. 这里目前汇聚了超过 110,000 名主要来自互联网行业.游戏行业和媒体行业的创意工作者. V2EX在华人IT圈占有举足轻重的地位. 近来闲的蛋疼,按照4个不同的指标 ...

  9. python使用 requirements.txt 管理所需的包

    使用 requirements.txt 管理所需的包 2019/01/28 作者 若要与其他人共享项目.使用生成系统,或打算将项目复制到需要在其中还原环境的其他任何位置,必须指定项目需要的外部包. 建 ...

随机推荐

  1. MongoDB中的一些坑( 2.4.10 版本)

    http://www.jb51.net/article/62654.htm 1.MongoDB 数据库级锁 MongoDB的锁机制和一般关系数据库如 MySQL(InnoDB), Oracle 有很大 ...

  2. Liability

    Liability li·a·bil·i·ty  ˌlīəˈbilədē/   noun A person or thing whose presence or behavior is likely ...

  3. 转:Ogre的SceneManager分析

    SceneManager分析 场景管理主要工作包括以下几点: 1.可移动.不可移动和可渲染物体的创建删除. 2.场景查询. 3.渲染队列. 4.动态阴影. 一. 场景对象创建 场景中的所有对象,包括可 ...

  4. CreateDialog 注意事项

    CreateDialog创建非模态对话框时 其内部 会发送几条消息例如: WM_INITDIALOG,WM_SETFONT  DS_SETFONT , DS_SHELLFONT. 所以如果在另一个Ca ...

  5. 利用 WireShark 深入调试网络请求

    来源:伯乐在线 - bestswifter 如有好文章投稿,请点击 → 这里了解详情 背景 最近发现我们产品在打开广告链接(Webview)时有一定概率会非常慢,白屏时间超过 10s,追查广告的过程中 ...

  6. java中enum的应用

    package com.demo; public enum TestEnum { A("hello"), B("world"); private String ...

  7. block(四)揭开神秘面纱(下)-b

    看此篇时,请大家同时打开两个网址(或者下载它们到本地然后打开): http://llvm.org/svn/llvm-project/compiler-rt/trunk/lib/BlocksRuntim ...

  8. C# 禁止datagridview 自动产生列

    dataGridView1.AutoGenerateColumns = false;

  9. mvc 文件压缩 减少文件大小

    using System; using System.Collections.Generic; using System.IO.Compression; using System.Linq; usin ...

  10. cassandra java 兼容性问题及其解决方法

    1.安装 http://wiki.apache.org/cassandra/DebianPackaging 2.java兼容性问题 由于cassandra运行于sun jdk6上,而ubuntu默认是 ...