GigE_vision

GigE Vision

GigE Vision

Video interface protocol over Ethernet cables


GigE Vision[1] is an interface standard introduced in 2006 for high-performance industrial cameras. It provides a framework for transmitting high-speed video and related control data over Ethernet networks. The distribution of software or development, manufacture or sale of hardware that implement the standard, require the payment of annual licensing fees.[2] The standard was initiated by a group of 12 companies, and the committee has since grown to include more than 50 members.[3] The 12 founding members were: Adimec, Atmel, Basler AG, CyberOptics, Teledyne DALSA, JAI A/S, JAI PULNiX, Matrox, National Instruments, Photonfocus, Pleora Technologies and Stemmer Imaging. The Association for Advancing Automation (A3) oversees the ongoing development and administration of the standard.

Quick Facts Company type, Industry ...

GigE Vision is based on the Internet Protocol standard. One goal is to unify current protocols for industrial cameras. The other is to make it easier for 3rd party organizations to develop compatible software and hardware.

GigE Vision is not an open protocol, and as such a special license is required to develop GigE camera drivers.

Technology

GigE Vision has four main elements:

  • GigE Vision Control Protocol (GVCP)Runs on the UDP protocol. The standard defines how to control and configure devices. Specifies stream channels and the mechanisms of sending image and configuration data between cameras and computers.
  • GigE Vision Stream Protocol (GVSP)Runs on the UDP protocol. Covers the definition of data types and the ways images can be transferred via GigE.
  • GigE Device Discovery MechanismProvides mechanisms to obtain IP addresses.
  • XML description file based on a schema defined by the European Machine Vision Association's GenICam standard that allows access to camera controls and image streams.[4]

See also


References

  1. "GigE Vision". Retrieved 26 April 2023.
  2. "GigE Vision Standard Committees". Retrieved 26 April 2023.
  3. "GenICam Standard Homepage". Retrieved 26 April 2023.

Share this article:

This article uses material from the Wikipedia article GigE_vision, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.