News
Learn about the latest in FPGA design services, machine vision design services, custom machine vision cameras, and FPGA and SoC modules in our news section.
FPGA Design Services for High-Speed Machine Vision CamerasRay Hoare from Concurrent EDA discusses how FPGA technology is transforming machine vision applications. Learn how algorithms can be embedded directly into cameras, frame grabbers, or embedded systems to process images in real time, which reduces latency from milliseconds to microseconds. The video covers applications such as image enhancement, classification, laser tracking, and 3D metrology, and showcases the high-speed GigaSens machine vision camera line. |
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What Vision Engineers Might Not Know About FPGAs, a Powerful Processing OptionMost vision engineers are familiar with the two most common chipsets for machine vision applications: CPUs for general processing and GPUs for more compute-intense tasks. These two options address virtually any conventional application. But as industrial frameworks and automation demand more from vision systems, engineers might need to look beyond their familiar toolkit and consider a processing option that often gets overlooked. FPGAs have been quietly evolving, and for specific vision challenges that involve real-time processing, tight space constraints, or unique I/O requirements, they’re worth a serious look. |
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How Evolving FPGA Architectures Will Transform Machine Vision ApplicationsCPUs process instructions sequentially, while the multiple cores within GPUs perform parallel computations. FPGAs take parallelism to an entirely new level. Recent advances in FPGA architecture — particularly the integration of dedicated AI processing elements — are reshaping the possibilities for future machine vision applications. Understanding how these devices handle image processing can help vision engineers identify opportunities where this established though fast-advancing technology might outperform traditional approaches. |
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Can Your Machine Vision System Handle 10 G at the Edge?Why 10 Gb/s, 25 Gb/s, or 100 Gb/s? High-speed data interfaces are essential in today’s machine vision and automation systems. A single 4-lane MIPI camera can output 10 Gb/s of image data, while CoaXPress (CXP-12) cameras deliver 10 Gb/s per lane, supporting up to four lanes per camera. These data rates not only support high-resolution, high frame-rate imaging but also reduce latency per frame — a critical advantage in real-time control systems where tight sense-compute-communicate-actuate loops are necessary for precision in factory automation and robotics. While modern PCs — oftentimes augmented with GPUs — are sometimes used in high-speed, high-data rate applications, FPGAs offer a more compact and cost-effective option for powerful processing. |
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