GenICam(TM) 2.3 Standard Released

Now with support for ARM processors under Linux

Frankfurt am Main, (PresseBox) - With mobile and embedded technologies skyrocketing in use, the GenICam technical committee saw a need to ensure that its standard, which provides "plug & play" capability on both the API- and feature-level of cameras and other related devices, provided support for ARM processors.

Dr. Fritz Dierks, Chair of the GenICam Committee, notes, "there is a huge appetite within our industry to go embedded and ARM processors are a popular choice to help make this happen. In addition, both the consumer and industrial markets are embracing smart technologies and, naturally, this includes cameras. It's clear that both embedded and smart technologies are here to stay. And so is the GenICam standard."

The GenICam technical committee also took this opportunity to increase the speed with which software can connect to cameras and other devices, as well as to provide support for the anticipated release of Camera Link 2.0. "We're committed to staying ahead of the game and keeping the standard highly relevant for our industry," says Dierks.

About GenICam

The goal of the GenICam standard is to provide a generic programming interface for all kinds of cameras. No matter what interfacing technology (GigE Vision, Camera Link, 1394 DCAM, USB3 Vision, CoaXPress etc.) is being used or what features are implemented, the application programming interface (API) should be always the same.

The GenICam standard is hosted by the European Machine Vision Association (EMVA). Today, more than 100 companies from all over the world are part of this initiative. More information about the GenICam 2.3 standard is available at www.genicam.org.

European Machine Vision Association

Founded in May 2003 in Barcelona, the European Machine Vision Association currently has 129 members representing 22 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members - machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.

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