Ethernet Adaptors Support GigE Vision

Matrox Imaging’s Concord PoE line of multi-port Gigabit Ethernet (GigE) adaptors with Power-over-Ethernet (PoE) for GigE Vision are available in two- or four-port options. The network interface cards (NICs) simplify system configurations involving multiple GigE Vision cameras by handling command and streaming protocols as well as providing power over a single standard Cat 5e/6 cable per camera connection. They come pre-licensed with GigE Vision support in Matrox Imaging software, removing the need for an additional software feature license.

 

The single-cable-per-camera approach simplifies cabling between cameras and vision computers by eliminating the need for a separate power cable. An isolated PoE implementation also protects cameras, board, and host computer from damage due to electrical faults and stray current that could adversely impact camera detection.

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.

 

Certified for use with GigE Vision systems, the adaptors ease deployment via an integrated license fingerprint for Matrox Imaging software. Supported by both the Matrox Imaging Library (MIL) software development kit (SDK) and the Matrox Design Assistant integrated development environment (IDE) for Windows, each software offers developers the benefits of different environments with the same underlying vision tools.

 

The Matrox Concord PoE will be available in Q2 2018. For more insights, visit Matrox Imaging.

Suggested Articles

Brain Corp. reported a sharp increase in autonomous robot usage in 2Q

Nvidia DGX accelerators helped train system from 150,000 chest X-rays with inference results in less than a second

One forecast from Cameron Chell: the best AI designers of the future won’t come from top universities