100GigE AI Frame Grabber

Ultra-high-performance acquisition and real-time AI acceleration

  • Grabbing from up to 12x 10GigE Cameras
  • Zero frame loss and almost zero CPU utilization
  • Ideal for AI, Recording & Streaming solutions
  • Inline Image Processing option including:
  • Supports 100+ synchronized cameras using InfiniVision
  • Memory: 8GB @ up to 300GB/s sustained throughput
  • ROI acquisition supported
  • Form factor: full-height, double-slot, half-length PCI Express card

Proc1C10N-120GigE: 100GigE Vision Frame Grabber for AI & High-Bandwidth Applications

The Proc1C10N-120GigE is a high-performance 100GigE Vision Frame Grabber designed for AI-driven, compute-intensive, and low-latency applications. Built on Gidel’s Proc10N FPGA module with Altera Stratix 10 NX FPGA technology, it integrates embedded Tensor blocks and HBM2 memory, delivering 143 INT8 TOPS / FP16 TFLOPS of processing power. As a result, it can process and analyze data from 100+ GigE Vision cameras in real time, making it ideal for advanced vision-based AI systems.


Performance and Real-Time Image Processing

The Proc1C10N-120GigE is available as a plug-and-play 100+ GigE Vision frame grabber or as part of a complete solution integrating image acquisition, modular real-time preprocessing, enhancement, and advanced compression IPs (.JPEG, Lossless, Quality+).

Inline enhancement features include:

  • High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions.

  • White Balance – Maintains color accuracy across variable lighting conditions.

  • Dynamic Luminance Balance – Preserves consistent brightness under changing illumination.

  • Gamma Correction – Optimizes brightness and contrast for improved clarity.

Real-time compression with Dynamic ROI delivers:

  • Extended recording times without compromising quality.

  • Lower transmission bandwidth for efficient data handling.

  • Accelerated offline compression, reducing storage needs and post-processing time.


InfiniVision Architecture – Multi-Camera 100GigE Vision Frame Grabber

Gidel’s InfiniVision architecture enables deterministic, synchronized acquisition from 100+ GigE Vision cameras. It manages bandwidth, connectivity, and scalability in large-scale systems.

A PCIe Gen3 x16 host interface ensures ultra-fast data transfer, while 4 × QSFP28 ports provide up to 400 Gb/s aggregated bandwidth. Additionally, on-board HBM2 and DDR4 memory guarantee consistent throughput, even under extreme data loads.

Therefore, the Proc1C10N-120GigE seamlessly integrates into complex, high-performance multi-camera environments, providing unmatched scalability and reliability.


Flexible Operating Modes

The Proc1C10N-120GigE supports two operating modes selectable via firmware:

  • InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats.

  • ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed).

As a result, the Proc1C10N-120GigE adapts seamlessly to a variety of workflows, from complex multi-camera systems to streamlined single-camera operations.


SDK and Development Tools

The Proc1C10N-120GigE is supported by Gidel’s SDK, featuring intuitive GUIs and APIs for streamlined integration. Additionally, the ProcVision Suite adds advanced FPGA programming, debugging, and validation tools, enabling developers to customize data flows, real-time processing, and compression pipelines with ease. Consequently, they can create optimized, application-specific solutions faster and with reduced risk.


Why Choose the Proc1C10N-120GigE? (100GigE Vision Frame Grabber)

  • Support for multiple 100+ GigE Vision cameras with real-time synchronization.

  • Embedded Tensor blocks for AI-driven performance and acceleration.

  • HBM2 memory delivering 10X more DRAM and SRAM bandwidth.

  • 143 INT8 TOPS / FP16 TFLOPS for on-board processing and inference.

  • Up to 400 Gb/s I/O with PCIe Gen3 x16 and QSFP28 connectivity.

Looking for a lower-power GigE Vision option? Visit HawkEye-20GigE and Proc10A-40GigE.
Need higher-bandwidth GigE Vision card option? Check out Proc1C10M-120GigE.

For a Jetson-based GigE Vision solutions, see FantoVision20-GigE, FantoVision20 and FantoVision40 Edge Computer Vision Systems.

         Target Applications

  • AI
  • Military & Defense

  • Recording & Streaming Applications

  • Aerospace (including drones and UAVs)

  • Medical Imaging

  • Outdoor Imaging

  • Sports Analytics

  • ATE (Automated Test Equipment)

  • Electron Microscopy

  • Industrial Inspection & Sorting Machines

  • Agriculture

  • Scientific Research

General

Camera input
  • Up to 12 x 10 GigE Cameras
  • For configurations requiring more cameras or support for 25GigE / 100GigE, please contact us.
    GigE Version
    GigE Vision 2.1
    Camera Input Connectors
    4× QSFP | 12x SFP+ | 12× RJ45
    (Fiber optic / Copper)
    Additional Connectors
    • Gidel PHS connector for daughterboards
    • JTAG
      Advanced ROI feature
      On-the -fly selective ROI acquisition
      Advanced Features
      • On-the -fly selective ROI acquisition
      • Chunk Data
      Image Formats
      • Mono, Bayer, RGBA (8, 10, 12, 14 and 16 bits/color)
      • RGB (8, 10 and 12 bits/color)
      Max. Resolution
      • Horizontal: 16 K pixels (64-bit)
      • Vertical: 65 K lines
      Maximum Acquisition Throughput
      400 Gb/s
      Compression & Image Enhancements
      Compression Options: Image Enhancements Options:
      • High Dynamic Range (HDR) correction
      For more modular image-processing options - Contact Us
      Host Bus
      PCIe x 16 Gen. 3
      On Board Memory
      8GB @ up to 300GB/s Sustain Throughput
      Camera Types
      • Area
      • Line Scan
      Form Factor
      Dual-slot, full-height half-length PCIe card
      GPIO
      19 x GPIOs
      Power
      Up to 100W: Depends on user application and FPGA Type
      Cooling
      Passive cooling | Active cooling (fan)
      MTBF
      > Million hours (With Passive Cooling)

      Environmental conditions

      Temperature
      Operating ambient air temperature: 0 – 55° C
      Humidity
      • Continuous Operation: 10 - 80% (non-condensing)
      • Peak Operation: 10 - 90% (non-condensing)
      Environmental Compliance
      Modular Real-Time
      Image Processing
      Gidel FPGA flow can integrate advanced image processing algorithms, including:
      • Compression encoders: JPEG | Lossless | Quality+
      • High Dynamic Range (HDR) correction from a single exposure
      • White Balance – Maintains color accuracy across variable lighting conditions
      • Dynamic Luminance Balance – Preserves consistent brightness under changing illumination
      • Morphological operations such as Open/Close using a round structuring element
      User FPGA code
      • Users can integrate their own FPGA code with Gidel’s IPs
      For more information, refer to the FPGA Processing tab
      Carrier board
      • Option for user or Gidel custom carrier board
      • For customization services, contact Gidel
      Camera Input
      For configurations requiring more than 12 cameras or support for 25GigE / 100GigE, please contact us.
      Memory Size
      16GB @ up to 512GB/s Sustain Throughput
      Acquisition Rate
      Up to 800 Gb/s

      The Gidel Proc1C carrier board uses only one of the three Proc10N connectors. The two additional connectors available on the Proc10N module and can be used, per user design, for additional 400 Gb/s bandwidth, RDIMM interface and many additional I/Os.

      The Proc1C10N-120GigE Frame Grabber is a highly modular solution, designed to be tailored to meet unique application requirements.

      Looking to adapt the Proc1C10N-120GigE to match your vision?

      Contact Our Experts

      The Proc1C10N-120GigE frame grabber offers two powerful customization paths to meet specific application requirements:

      1. Modular Pre-Configured Features
        Gidel provides a range of pre-embedded modules tailored to your specifications—such as real-time compression, HDR, and other advanced features. (See the Options tab for available configurations.)

      2. User-Level FPGA Customization
        Leverage Gidel’s development tools and IP libraries to integrate your proprietary FPGA logic and extend the system’s capabilities for acquisition, image processing, and control.

      The Gidel ProcVision Suite delivers a complete toolchain for advanced user-level FPGA customization of the data flow, image pipeline, image processing, and more—ensuring optimal performance for your vision or imaging application.

      Proc1C10N-120GigE FPGA Resources
      ModelProc10N-120GigE
      FPGAStratix 10 NX (NX2100)
      ALM702,720
      FPGA-MLAB11Mb
      FPGA-M20K6,847
      AI Tensor Blocks 3,960 AI Tensor Blocks; peak 143 INT8 TOPS / 286 INT4 TOPS
      Peripheral Memory
    • eSRAM
    • 94.5 Mb @ Max throughput of 90 GB/s
    • HBM2 DDR
    • Up to 16GB @ up to 512GB/s Sustain Throughput
    • DDR4 Capacity
    • Up to 128 GB with ECC
    • DDR4 max throughput
    • 15 GB/s

      Grabbers SDK

      InfiniVision
      Designed for acquisition from a large number of cameras (100+), with an option for embedded real-time compression.
      ProcFG
      Optimized for line-scan camera acquisition, combining ROI-based grabbing with integrated debugging and analysis tools.

      Application Interfaces

      GUI Applications
      • InfiniVision
      • ProcFG
      • CameraConfig – Camera discovery and configuration
      • ggvcon – GigE Vision network configuration
      APIs
      • InfiniVision with supporting examples
      • ProcFG with supporting examples
      • Gen<i>Cam GenTL producer libraries compatible with C/C++ compilers
      • InitCam for developing user Gen<i>Cam camera configuration application
      • GigE for developing camera network communication applications

      Software Compatibility

      Third-party software
      • MVTec Halcon machine vision software
      •  Camera control Gen<i>Cam based application
      Operation Systems supported
      • Windows 11
      • Windows 10
      • Windows Server 2022
      • Windows Server 2019
      • Windows Server 2016
      • Linux (kernel 2.6.x- 6.12)
      Please note: Linux version doesn’t include the ProcFG/InfiniVision GUI, just the API.
      Documentation
      Proc1C10N-120GigE Datasheet Open
      Proc1C10N-120GigE Block Diagram Open
      Proc10N: Datasheet FPGA module Open
      Proc10N: Block Diagram FPGA module Open
      Proc1C: Datasheet Carrier Board Open
      Proc1C: Block Diagram Carrier Board Open
      Proc1C10N - Press Release Gidel Proc1C10N Product Launch Read
      Related Videos
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      Gidel Imaging & Vision offerings at the Embedded World show 2024 Gidel frame grabbers and edge computers at the Embedded World show 2024. Watch
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      Gidel's FPGA Giga+ Pixel per second with Low Power - VSC 2023 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. Watch
      Gidel’s Real Time Processing Over Gigapixels — InVision Days 2022 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. Watch
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      Object Tracking FPGA implementation - Vision Show 2012 Gidel presented a step-by-step demonstration of its FPGA-based object tracking algorithm, highlighting the internal processing stages and real-time debugging capabilities. The demo illustrated how developers can visualize, analyze, and optimize the complete tracking flow directly on FPGA hardware, enabling faster development and deterministic performance. Watch


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