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GigE-V Framework for Linux 32/64-bit

Built with embedded systems in mind, our GigE-V Framework for Linux contains lightweight libraries for camera control and image acquisition. This small footprint SDK is a simplified, user-level API for accessing features and streaming images from Teledyne DALSA GigE Vision cameras.

GigE-V Framework for Linux supports many distributions including Ubuntu, Debian, Suse/openSuse, and Red Hat (RHEL/Oracle/Rocky/Alma) and more.

We recommend choosing long-term support (LTS) Linux distributions for machine vision applications. Long term support guarantees that critical system updates are available to ensure system stability.

Suitable long-term support distributions include:
Ubuntu

Released every 2 years. Starting with Ubuntu 12.04 LTS, versions receive five years support.
This support can now be extended to 10 years via an Ubuntu Pro subscription.
Current version of 2024.04 Extended LTS end is April 2036.

Red Hat (RHEL)

Release distributions provide long term support (end of life) for up to 10 years.
For example, RHEL 9 provides updates until May 2032.

OpenSUSE (SLES)

OpenSUSE was created from SUSE Linux, one of the very first Linux distributions ever.
The free distribution is used as the "base" for the commercial SLES (SUSE Linux Enterprise
Server) distribution. For example, SLES 15 provides Extended LTS end is July 31st 2034 with
the paid subscription.

Download GigE-V Framework

Supported Hardware Platforms

The framework supports both Desktop/Server systems and Embedded Systems. There are currently 4 CPU architectures supported:

x86: Intel/AMD 32-bit and 64-bit CPUs
ARMv8: 64-bit ARM v8 platform (ie Nvidia Jeston Platform)
ARMv7 Hard Float: 32-bit ARM v7 with hardware floating point platform
ARM Soft Float: 32-bit ARM for software emulated floating point platform

Embedded Platforms

NVIDIA Jetson (TK1, TX1, TX2, Xavier and more)

Visit our NVIDIA Jetson support page

Required for the Linux distribution

Linux OS support for Gigabit NIC hardware is required (kernel 2.6.24 and later)

Supported Cameras

The platform supports Teledyne DALSA GigE Vision cameras compatible to the GigE Vision Standard v1.2 & v2.0

Genie Nano series
Linea GigE series
Xineos Large Area X-Ray Detectors (GigE Vision models)
Xineos Scanning X-Ray Detectors
Rad-Icon 2329 X-Ray Detector (GigE Vision model)
Calibir longwave infrared (LWIR) camera (GigE Vision model)
Forge 5-GigE series

Turbodrive support

GigE-V framework for Linux Version 2.02 and later support TurboDrive v1.

Key Features

Supports Teledyne DALSA GigE cameras
Integrated support for patented TurboDrive technology to boost GigE speeds
Proven image acquisition and control with field proven T2IR framework
Support multiple CPU architectures :Intel/AMD (x86) and ARM (32/64-bit)
Supports C and C++programming languages

Key Benefits

Platform portability
Extensive camera offering in area and line scan cameras
Build-in diagnostic and monitoring tools
Faster application development with extensive documentation and demo/example source code

GigE-Vision

The GigE Vision standard describes a set of protocols that define access methods and capabilities for devices and applications alike. The main protocols applicable for GigE Vision cameras are GVCP (GigE Vision Control Protocol) and GVSP (GigE Vision Streaming Protocol).

The GigE-V Framework API supports the standard register and memory area access parts of GVCP as well as its asynchronous message channel. The API also supports image acquisition from a device using GVSP.

The specific definitions of what is supported by a device are contained in the GigE Vision compliant XML file provided with the device. Starting with v2.0, the GigE-V Framework API library is able to read the XML file from the device, and associate a GenICam feature node tree with the device. For more information on how to use the XML file see the code examples provided in this document and the example programs supplied with the API

The GigE-V Framework API builds on the GenICam GenApi, which is included in the GigE-V Framework API installation. For more information and documentation of the GenICam GenApi visit the EMVA (European Machine Vision Association) website: www.emva.org/standards-technology/genicam/.