GigE Vision has been widely adopted in various machine vision applications, including manufacturing, robotics, traffic surveillance, medical imaging, and more.
GigE Vision® sets the standard for high-performance industrial cameras, leveraging Gigabit Ethernet for fast, cost-effective image transfer. Introduced in 2006, it enables the transmission of digital images and video over Ethernet networks up to 100 meters. With version 3.0 on the horizon, GigE Vision remains the top choice for long-distance camera setups, offering unmatched performance and affordability.
Pleora Technologies is expanding its eBUS Edge GigE Vision software transmitter solution with feature-based licensing tiers to help designers meet performance and cost demands as new 3D cameras, sensor-based imaging devices, and embedded and IoT products are deployed in machine vision applications.
RDMA is an alternative to UDP for high-bandwidth, multi-camera applications, providing an efficient data transfer mechanism that bypasses the CPU and operating system. By storing image data directly onto the host PC's memory, RDMA is ideal for managing large volumes of data in modern high-bandwidth Ethernet camera applications.
Expanding family of GigE Vision embedded interfaces provide designers with scalable bandwidth and flexible feature options for high-performance, high-reliability imaging devices.
A number of data transfer hardware interfaces have been developed specifically for the machine vision sector over the years, including cameralink, GigE vision, USB3 vision, CoaXpress and Cameralink HS.
The choice of camera data interface is a vital consideration both in traditional PC-based machine vision systems and in the increasingly important area of embedded vision.
Understandably, designers of high-throughput, multi-camera machine vision systems have grown dissatisfied with those aging standards and have found a new champion, CoaXPress (CXP), a high-speed, point-to-point, serial communications interface that runs data over off-the-shelf 75Ω coaxial cables.
A machine vision interface connects a camera to a computer, transferring image data for processing and analysis. What you choose will impact your application, your system component options, and your results for a long time to come.