Camera Link Frame Grabber

Camera Link Frame Grabber — Features & Bandwidth

  • Supporting modes: Base, Medium, Full, 80-bit (Deca) | Dual-Base
  • Ideal for Recording & Streaming solutions
  • Inline Image Processing option including:
  • Supports 100+ synchronized cameras using the InfiniVision
  • Memory: up to 17 GB
  • Form factor: full-height, single-slot, half-length PCI Express card
  • Optional: Low Profile

HawkEye-CL: Camera Link Frame Grabber

The HawkEye-CL is a high-performance Camera Link Frame Grabber designed for real-time acquisition and FPGA-based image processing in demanding vision systems. Powered by the Altera Arria 10 FPGA, it is fully compliant with Camera Link Rev. 2.0 and supports Camera Link 80-bit (DECA) acquisition with up to 17 GB of on-board memory and PCIe Gen3 x8 host connectivity. As a result, it delivers industry-leading bandwidth and reliability for applications where speed and precision are critical.


Performance and Real-Time Image Processing

The HawkEye-CL Camera Link Frame Grabber is available as a plug-and-play solution or as part of a complete system integrating image acquisition, modular FPGA-based preprocessing, and advanced real-time 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 solution for Camera Link Frame Grabber

Built on Gidel’s InfiniVision architecture, the HawkEye-CL addresses common multi-camera challenges such as synchronization, bandwidth, and scalability. Furthermore, its FPGA-based design ensures deterministic data handling while enabling real-time preprocessing.

A PCIe Gen3 x8 host interface provides CPU-free, ultra-fast transfer, while large on-board buffers (up to 17 GB) guarantee stable acquisition. As a result, the HawkEye-CL delivers reliable performance in high-speed, high-resolution vision environments.


Flexible Operating Modes

The HawkEye-CL 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 HawkEye-CL adapts seamlessly to a variety of workflows, from complex multi-camera systems to streamlined single-camera operations.


SDK and Development Tools

The HawkEye-CL 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 Camera Link Frame Grabber HawkEye-CL?

  • Camera Link Rev. 2.0 compliant with 80-bit (DECA) acquisition.

  • Up to 17 GB on-board memory with PCIe Gen3 x8 interface.

  • FPGA-based processing with real-time compression and ROI offloading.

  • 1+ GPixels/s encoding with Lossless, JPEG, and Quality+ options.

  • Supported by the ProcVision Suite for streamlined customization and integration.

Looking for CoaXPress or GigE Vision Frame Grabber cards? visit Gidel’s frame grabbers.

For a Jetson-based Camera Link solutions, see FantoVision20-CL and FantoVision20 Edge Computer Vision Systems.

        Target Applications

  • 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
  • 1x 80-bit (Deca), Full, Medium or Base Camera Link
  • Dual Base
  • Optional: PoCL
Camera Link Compliant
Camera Link Rev. 2.0
Camera Input Connectors
2x SDR26
(mini Camera Link)
Additional Connectors
  • VGA15-pin for connecting GPIO's via cable to the bracket
  • 16-pin board-to-board header
  • JTAG
Advanced ROI feature
On-the -fly selective ROI acquisition
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
Tap Configuration
All configurations as defined by the Camera Link standard, including 80-bit (Deca): 10 taps/8bits, 8bits/10taps.
Maximum Acquisition Throughput
6.8 Gb/s
Compression & Image Enhancements
Compression Options: Image Enhancements Options:
  • High Dynamic Range (HDR) correction
For more modular image-processing options - Contact Us
Pixel Clock
Up to 85 MHz
Host Bus
PCIe x 8 Gen. 3
On Board Memory
Up to 17 GB
Camera Types
  • Area
  • Line Scan
Form Factor
Full-height, single-slot, half-length PCIe card
GPIO
GPIO #1:
  • 4 X RS422 INPUTS
  • Optional input clk
  • 1x Optocoupler input
GPIO #2:
  • 1 X RS422 INPUTS
  • 2x Opto-coupler inputs
  • 2X 3-30V @ 0.8A outputs
  • LVTTL IO
  • 12V/1A power supply
GPIO #3 (for board-to-board connection):
  • 12x LVTTL IO (5V TTL tolerant)
Power
5-32W: Depends on user application and FPGA Type
Cooling
Passive cooling | Active cooling (fan)
MTBF
Passive colling:
  • 3.5M hours
Active colling:
  • HE CL-48 > 400K hours
  • HE CL-16 > 500K hours

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
Form Factor
Low profile (Comes without the IO connector)

The HawkEye-CL Frame Grabber is a highly modular solution, designed to be tailored to meet unique application requirements.

Looking to adapt the HawkEye-CL to match your vision?

Gidel FPGA flow can integrate advanced image processing algorithms, including:

Contact Our Experts

The HawkEye-CL 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.

HawkEye-CL: FPGA resources comparison
ModelHawkEye-CL-48HawkEye-CL-16
FPGAArria 10-480-3Arria 10-160-2
FPGA-ALM182K61K
FPGA-M20K1,438440
FPGA 18x192,736312
Peripheral Memory:
  • On Board DRAM capacity
  • 1 GB1 GB
  • On Board DRAM sustain bandwidth
  • 5.6 GB/s6.4 GB/s
  • SoDIMM capacity
  • 0, 4, 8, 16 GB-
  • SoDIMM sustain bandwidth
  • 9.6 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
    HawkEye-CL Datasheet Open
    HawkEye-CL Block diagram Open
    Related Videos
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    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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    Gidel’s Real-Time Object Tracking on FPGA Demo — Vision Show 2012 Gidel demonstrated a complete real-time object tracking pipeline implemented directly on the FPGA-based frame grabber, eliminating host dependency and overcoming PCIe bandwidth limitations. The demo showcased deterministic low-latency processing, highlighting Gidel’s ability to execute full vision workflows on FPGA hardware. Watch
    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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