Mon, Sep 19, 22, kinect hardware specifications, installation and application
This is a draft, the content is not complete and of poor quality!

references

my linux

미니 데스크탑 워크스테이션 / HP Z2 MINI G3 RAM 32GB

NVIDIA Quadro M620이 내장된 퍼포먼스 타입

​​

CPU : Xeon E3-1245 V5 ( 4 Core 8 Thread , 3.5GHz /Turbo 3.9GHz )

RAM : 32GB ( 16GB PC4-2666V X 2EA )

SSD : 삼성 NVMe SM961 4 tera ( MLC , Samsung MZVKW512HMJP-00L7 )

HDD : 250g

VGA : NVIDIA Quadro M620

​아답터 : HP 정품 200W 아답터

윈도우즈 10 정식 라이센스

Required Specs • 64-bit (x64) processor • Physical dual-core 3.1 GHz processor or faster (recommended i7)

my windows laptop

MSI 장치 이름 xr-aiegoo Process 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz 2.30 GHz Installed RAM 16.0GB(15.7GB 사용 가능) System type 64bit, x64 graphic: Nvidia GTX 3060 8G GDDR6

kinect dk

Kinect_dk

Image

kiect v1 for windows

Software Requirements • You will need Visual Studio 2012 or newer. This includes the Express and Community flavors. This does not include Visual Studio Code. I personally use Visual Studio Enterprise 2015 (with Update 2), and the examples have been tested with such. You can download a free copy of Visual Studio at https://www. visualstudio.com/en-us/products/visual-studio-community-vs.aspx. • You will need the Kinect for Windows SDK 2.0. You can download it at https://developer.microsoft.com/en-us/windows/kinect. Image

Kinect Unity Packages

sdks

About Azure Kinect Sensor SDK

github_src

Beginning Kinect Programming with the Microsoft Kinect SDK

This article provides an overview of the Azure Kinect Sensor software development kit (SDK), its features, and tools.

Features

The Azure Kinect Sensor SDK provides cross-platform low-level access for Azure Kinect device configuration and hardware sensors streams, including:

  • Depth camera access and mode control (a passive IR mode, plus wide and narrow field-of-view depth modes)
  • RGB camera access and control (for example, exposure and white balance)
  • Motion sensor (gyroscope and accelerometer) access
  • Synchronized Depth-RGB camera streaming with configurable delay between cameras
  • External device synchronization control with configurable delay offset between devices
  • Camera frame meta-data access for image resolution, timestamp, etc.
  • Device calibration data access

Tools

Sensor SDK

quickstart-setup

sensor-sdk-instructions

Install Instructions

for windows

You can find installation details for the latest and previous versions of Azure Kinect Sensor SDK and Firmware here.

You can find the source code here.

[!NOTE] When installing the SDK, remember the path you install to. For example, “C:\Program Files\Azure Kinect SDK 1.2”. You will find the tools referenced in articles in this path.

Linux installation instructions

Currently, the only supported distribution is Ubuntu 18.04. To request support for other distributions, see this page.

First, you’ll need to configure Microsoft’s Package Repository, following the instructions here.

Ubuntu 18.04 bionic

curl https://packages.microsoft.com/keys/microsoft.asc | sudo apt-key add -

sudo apt-add-repository https://packages.microsoft.com/ubuntu/18.04/prod

sudo apt udpate

Now, you can install the necessary packages. The k4a-tools package includes the Azure Kinect Viewer, the Azure Kinect Recorder, and the Azure Kinect Firmware Tool. To install the package, run:

sudo apt install k4a-tools

This command installs the dependency packages that are required for the tools to work correctly, including the latest version of libk4a<major>.<minor>. You will need to add udev rules to access Azure Kinect DK without being the root user. For instructions, see Linux Device Setup. As an alternative, you can launch applications that use the device as root.

The libk4a<major>.<minor>-dev package contains the headers and CMake files to build your applications/executables against libk4a.

The libk4a<major>.<minor> package contains the shared objects needed to run applications/executables that depend on libk4a.

The basic tutorials require the libk4a<major>.<minor>-dev package. To install the package, run:

sudo apt install libk4a<major>.<minor>-dev

If the command succeeds, the SDK is ready for use.

Be sure to install the matching version of libk4a<major>.<minor> with libk4a<major>.<minor>-dev. For example, if you install the libk4a4.1-dev package, install the corresponding libk4a4.1 package that contains the matching version of shared object files. For the latest version of libk4a, see the links in the next section.

For distributions other than 18.04, build from the source as instructed [here](https://visp-doc.inria.fr/doxygen/visp-daily/tutorial-install-ubuntu.html)

azure kinct

25 points of rigging info is now providing 32 points of position

issues

Image Image

The following wiki, pages and posts are tagged with

TitleTypeExcerpt
kinect hardware specs and applications post Mon, Sep 19, 22, kinect hardware specifications, installation and application