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CoaXPress Frame Grabbers & Image Processing

Gidel CoaXPress Frame Grabbers and FPGA Image Processing solutions deliver high-bandwidth capture with deterministic, low-latency performance. The portfolio scales from compact Quad CXP-12 frame grabber to powerful Octo CXP-6 and CXP-12 boards, ensuring the right fit for demanding imaging and vision workloads.

Gidel PCIe CoaXPress Frame Grabbers displayed against a digital network connectivity background

High-Performance PCIe CoaXPress Frame Grabbers: Overview & Comparison

Features & Bandwidth
Product Name HawkEye-CXP12 Proc10A-CXP Proc1C10N-CXP12 (AI)
Product Image Gidel HawkEye-CXP12: Quad CXP12 links Frame Grabber displayed against a digital network connectivity background. GIdel Proc10A-CXP: Octo CXP6 links Frame Grabber displayed against a digital network connectivity background. Gidel Proc1C10N-CXP12: Octo CXP12 links Frame Grabber with AI tensor blocks displayed against a digital network connectivity background.
Camera Input
  • 4× CXP-12/6 links
  • 2× CXP-12/6 links
  • 1× CXP-12/6 link
  • PoCXP
  • 8× CXP-6 links
  • 4× CXP-6 links
  • PoCXP
  • 8× CXP-12 links
  • PoCXP
Camera Input Connectors 4x Micro-BNC 8x Micro-BNC 8x Micro-BNC
Host Interface (PCIe) Gen3 x8 Gen3 x8 Gen3 x16
On-Board Memory Up to 17GB Up to 33GB 8GB
Real-Time ROI Offload
Real-Time Encoders (Optional)
Encoder Throughput (per camera) > 1 Giga pixel/s > 1 Giga pixel/s > 1 Giga pixel/s
Real-Time HDR Correction

FPGA-Based CoaXPress Acquisition and Inline Processing

Gidel PCIe CoaXPress frame grabbers manage high-bandwidth camera acquisition directly on the Altera FPGA, enabling deterministic, low-latency data capture while reducing CPU overhead. Optional inline FPGA processing supports real-time image enhancement, CompressionHDR, and data optimization before host-side processing.

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    Inline FPGA Image Processing Options

    Enhance Gidel PCIe CoaXPress frame grabbers with FPGA processing options for real-time image enhancement, Compression, HDR, and data optimization before host-side processing.

    Edge AI Systems with Built-In CoaXPress Frame Grabbers

    Discover Compact FantoVision systems combining NVIDIA Jetson with built-in FPGA CXP-12 frame grabbers and inline image processing options.

    Technical Resources

    System block diagram

    System block diagram

    Related Videos

    Reuven Weintraub, founder and CTO of Gidel, reveals how to unlock exceptional image processing performance by adding FPGA’s processing at Vision Show, Stuttgart 2024.

    Gidel frame grabbers and edge AI vision at the Embedded World show 2024.

    Boost your vision! Gidel’s high-performance GigE Vision, Camera Link and CoaXPress frame grabbers help overcome bandwidth bottlenecks in high-resolution and/or high-speed computer vision applications.

    Gidel presented its FPGA-based architecture capable of processing Giga+ Pixels per second while maintaining exceptionally low power consumption.
    The session demonstrated how Gidel’s scalable FPGA solutions deliver real-time imaging performance, energy efficiency, and deterministic throughput for advanced vision and imaging systems.

    Presented by Reuven Weintraub, this talk highlighted Gidel’s expertise in real-time processing over Gigapixel/s image streams, demonstrating how FPGA-based architectures enable deterministic latency, scalable throughput, and efficient handling of ultra–high-resolution vision data.

    Need Help Choosing?

    Our experts can help you find the right product for your specific requirements.

    • Free product consultation
    • Technical specifications review
    • Custom configuration options
    • Volume pricing available

    Or contact us directly:

    sales@gidel.com




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