About This Webinar
As imaging applications continue to evolve, there is growing demand for higher-bandwidth solutions that can support more complex data streams while minimizing system processing requirements. This session will highlight innovative technologies and design strategies that address these challenges, with a focus on practical implementations across both existing and emerging imaging platforms. For current deployments, GigE Vision-to-Thunderbolt™ solutions are expanding the flexibility of imaging systems. These technologies combine the long-distance cabling and multicasting advantages of GigE Vision with the high-efficiency data transfer of PCIe frame grabbers and the user-friendly, plug-and-play nature of Thunderbolt interfaces. The result is a powerful, streamlined solution that enables high-bandwidth imaging on compact platforms such as laptops, embedded systems, and single-board computers — while significantly reducing CPU load. Looking ahead to next-generation device designs, Remote Direct Memory Access (RDMA) over Converged Ethernet v2 (RoCEv2) is emerging as a transformative technology. RoCEv2 enables direct data transfer from cameras or sensors to host memory, bypassing the CPU, operating system, and cache. This approach dramatically reduces latency and processing overhead, making it possible to support ultrahigh bandwidths of 50, 100, 200, and even 400 Gbit/s over Ethernet. These capabilities open the door to scalable, high-performance imaging systems that meet the demands of advanced industrial, medical, and scientific applications. Join us to explore how these technologies are reshaping imaging system design and deployment, with real-world examples that demonstrate their impact and potential.
Who should attend:
This session offers system designers, integrators, and imaging device designers practical insights into optimizing high-bandwidth imaging systems. Learn how GigE Vision-to-Thunderbolt™ solutions reduce CPU load while enabling compact platforms such as laptops and embedded systems for demanding imaging tasks. Discover how RoCEv2 technology allows direct data transfer from camera to memory — bypassing the CPU and operating system — to support ultrahigh bandwidths up to 400 Gbit/s with minimal latency. Real-world examples will show how these technologies are being applied today, helping engineers design more efficient, scalable systems. Attendees will leave with actionable knowledge to improve performance, expand platform options, and future-proof their imaging solutions.
About the presenter:
James Falconer has a background in engineering and aerospace, with experience in research, teaching, and product management. He is currently product manager at Pleora Technologies and serves as vice chair of the GigE Vision Technical Committee at AIA - Advancing Vision + Imaging. Previously, he was a senior field application engineer and production engineer. Falconer has a master’s degree in applied science and aerospace engineering from Carleton University.
About the sponsor:
Pleora Technologies is a global leader in real-time video and data connectivity for industrial automation, medical imaging, and security and defense applications. With over 25 years of expertise, Pleora delivers solutions that simplify design, accelerate time-to-market, and reduce costs to enable the development of advanced imaging systems worldwide.