Quad CoaXPress 12 Frame Grabber

4x CoaXPress-12 Frame Grabber & Image Processing System

  • Up to 50 Gb/s bandwidth via 4x CoaXPress-12 links
  • 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-CXP12: Quad CoaXPress 12 Frame Grabber

The HawkEye-CXP12 is a high-performance Quad CoaXPress 12 Frame Grabber designed for real-time image acquisition, preprocessing, and compression in demanding multi-camera vision systems. Powered by Altera Arria 10 FPGA technology, it delivers up to 50 Gb/s bandwidth via 4 × CXP-12 links. As a result, it ensures zero frame loss, ultra-low latency, and negligible CPU load, making it ideal for mission-critical applications.


Performance and Real-Time Image Processing

The HawkEye-CXP12 is available as a plug-and-play CoaXPress grabber or as part of a complete system. This full system integrates 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 CoaXPress 12 Frame Grabber

Gidel’s InfiniVision architecture addresses key multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. As a result, the HawkEye-CXP12, Quad CoaXPress 12 Frame Grabber supports up to four CXP-12 links, enabling 1–4 cameras to operate simultaneously with precision.

In addition, a PCIe Gen.3 x8 interface delivers CPU-free, ultra-fast data transfer, while on-board buffers of up to 16 GB boost acquisition stability and real-time image processing. Consequently, users achieve smooth, reliable performance in high-speed, high-resolution systems.


Flexible Operating Modes

The HawkEye-CXP12 can switch between InfiniVision Mode and ProcFG Mode via firmware update:

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

  • ProcFG: Optimized for line-scan cameras, offering fixed frame sizes, pixel formats, and ROI grabbing (uncompressed).

As a result, the HawkEye-CXP12 adapts seamlessly to various workflows, supporting everything from dynamic multi-camera systems that require precise synchronization to streamlined single-camera operations demanding consistent performance.


SDK and Development Tools

The HawkEye-CXP12 is supported by Gidel’s SDK, which includes intuitive GUIs and APIs for streamlined integration. In addition, the ProcVision Suite provides FPGA programming, debugging, and validation tools, enabling rapid customization of data flows, image processing, and compression pipelines. Consequently, developers can create optimized, application-specific solutions faster and with reduced risk.

Why Choose the HawkEye-CXP12 Quad CoaXPress 12 Frame Grabber?

  • Up to 4 × CXP-12 links for 50 Gb/s bandwidth.

  • Real-time preprocessing, HDR, white balance, and gamma correction.

  • Dynamic ROI compression for bandwidth and storage efficiency.

  • Flexible operating modes to support diverse camera setups.

  • Advanced SDK and ProcVision Suite for rapid development.

Looking for an Octo CoaXPress-12 Frame Grabber solution? see Proc1C10N-CXP12.
Need an Octo CoaXPress-6 Frame Grabber, refer to Proc10A-CXP6.
For a Jetson-based Quad CoaXPress-12 solution, visit FantoVision40-CXP12 Edge Computer Vision System.
For a Jetson with Quad CXP12 & 10GigE Vision Interfaces, see FantoVision40 Edge Computer Vision System.

         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
  • 4x CoaXPress-12 links
  • 2x CoaXPress-12 links
  • 1x CoaXPress-12 link
  • PoCXP
CoaXPress Version
CoaXPress 2.1
Camera Input Connectors
4x Micro-BNC
Additional Connectors
  • VGA15-pin for connecting GPIO's to the bracket
  • 16-pin board-to-board header
  • JTAG
Supported down-connection speeds
  • 1.25 Gb/s | CXP-1
  • 2.5 Gb/s | CXP-2
  • 3.125 Gb/s | CXP-3
  • 5 Gb/s | CXP-5
  • 6.25 Gb/s | CXP-6
  • 10 Gb/s | CXP-10
  • 12.5 Gb/s | CXP-12
Supported up-connection speeds
  • 20.83 Mbps (CXP-1 to CXP-6)
  • 41.66 Mbps (CXP-10, CXP-12)
Maximum Stream Packet Size
8,192 bytes
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
Maximum Acquisition Throughput
40 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 x8 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:
  • 1.8M hours
Active colling:
  • HE CXP-48 > 300K hours
  • HE CXP-16 > 450K 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
Power
PoCXP 32W | PoCXP 42W | PoCXP 52W
CXP Links
1,2 or 4 CXP12
Form Factor
Low profile (Comes without the IO connector)

The HawkEye-CXP12 Frame Grabber is a highly modular solution, designed to be tailored to meet unique application requirements.

Looking to adapt the HawkEye-CXP12 to match your vision?

Contact Our Experts

The HawkEye-CXP12 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-CXP12: FPGA resource comparison
ModelHawkEye-CXP-48 HawkEye-CXP-16
FPGA Arria 10 480 GX Arria 10 160 GX
FPGA-ALM 182K61K
FPGA-M20K1,431440
FPGA - 18x19 Multipliers2,736312
  • DRAM A capacity
  • 1 GB1 GB
  • DRAM A sustain bandwidth
  • 5.6 GB/s6.4 GB/s
  • SoDIMM B capacity
  • 0,4,8,16 GB-
  • SoDIMM B 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-CXP12 Datasheet Open
    HawkEye-CXP12 Block Diagram Open
    Related Videos
    Enabling Exceptional Image Processing Performance based on FPGAs - Vision Show, Stuttgart 2024 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. Watch
    Gidel Imaging & Vision offerings at the Embedded World show 2024 Gidel frame grabbers and edge computers at the Embedded World show 2024. Watch
    Gidel frame grabbers for high-bandwidth image acquisition 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. Watch
    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
    Gidel Frame grabbers introduction - Embedded World 2022 Gidel founder and CTO Reuven Weintraub present the performance and versatility of Gidel's GigE Vision, Camera Link and CoaXPress frame grabbers for high-speed image acquisition and pre-processing at the Embedded World 2022 in Nuremberg, Germany. Watch
    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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