System Requirements

To use an Ensenso Camera, your system should meet the following requirements:

Minimum

Recommended

CPU

2.0GHz

4x3.0GHz supporting AVX2 instruction set 1

RAM

2GB 2

8GB in dual-channel or quad-channel configuration 2

Operating System

Windows 7 64bit

Windows 10 64bit

Linux 64bit (Kernel >= 2.6, libc >= 2.17)

Windows 10 64bit

Debian/Ubuntu 64bit

Graphics

For GPU accelerated depth computation:

  • A CUDA-compatible device with Compute Capability 3.0 or higher

  • An up to date version of the Nvidia driver

  • At least 8GB of RAM on the GPU 2

For 3D visualization and virtual cameras:

  • OpenGL 4.0 compatible graphics card and driver

For GigE cameras

A dedicated GigE port for each camera on a PCIe adapter based on an Intel chipset

For USB cameras

A mainboard chipset providing a separate USB2.0 root hub for every camera
1

For Intel CPUs the instruction set and actual number of CPU cores of your model can be checked on http://ark.intel.com. The corresponding specs are denoted by “Instruction Set Extensions” and “# of Cores”. All 4th Gen Intel i7 processors (i7-4xxx) support AVX2 instructions. Please note that stereo processing in NxLib cannot efficiently use Hyperthreading technology, as on these CPUs two cores share their arithmetic units and can thus not process SSE or AVX instructions in parallel. Therefore it is not sufficient to check if your Windows TaskManager shows 4 separate CPUs, because this number also includes the Hyperthreading cores. The number of cores including hyperthreads is denoted by “# of Threads” on Intel’s website, but NxLib performance will only scale with “# of Cores”.

2(1,2,3)

The RAM usage for stereo matching highly depends on the current parameters (e.g. the resolution of the sensor, the matching algorithm and the depth range). We recommend at least 8GB of RAM to make sure that all available settings work, but matching might be possible with less RAM if the settings are restricted.