HawkEye-20GigE:

Dual 10 GigE Frame Grabber

2x 10 GigE Frame Grabber and FPGA Processing

Grabbing from up to 2x 10 GigE, 4x 5 GigE, etc. cameras
Zero frame loss and almost zero CPU utilization
Ideal for Recording & Streaming solutions
Inline Image Processing option including:
- On-FPGA real-time Compression (.JPEG, Lossless, Quality+)
- Real-Time High Dynamic Range (HDR) correction
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-20GigE: Dual 10 GigE Frame Grabber

The HawkEye-20GigE is a high-performance GigE frame grabber designed for real-time image acquisition, processing, and compression in demanding multi-camera vision applications. Powered by Altera Arria 10 FPGA technology, it supports up to 2 × 10 GigE Vision cameras directly and can scale to multiple synchronized cameras via a network switch. With dual SFP+ ports delivering 20 Gb/s bandwidth and a low-profile PCIe form factor, it guarantees zero frame loss, ultra-low latency, and negligible CPU load, making it ideal for mission-critical environments.

Performance and Real-Time Image Processing

The HawkEye-20GigE is available as a plug-and-play GigE 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 GigE Frame Grabber

Gidel’s InfiniVision architecture addresses critical multi-camera challenges, including bandwidth, synchronization, connectivity, and scalability. Consequently, the HawkEye-20GigE supports dual 10 GigE Vision interfaces and can manage larger synchronized camera networks via switches.

A PCIe Gen3 x8 interface ensures CPU-free, ultra-fast data transfer, while FPGA-based on-board buffers enhance acquisition stability and enable real-time image processing. As a result, the HawkEye-20GigE delivers reliable, deterministic performance in high-speed, high-resolution vision systems.

Flexible Operating Modes

The HawkEye-20GigE supports two operating modes, selectable via firmware, allowing system designers to adapt the frame grabber to different GigE Vision workflows and acquisition requirements.

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-20GigE frame grabber adapts to a wide range of GigE Vision workflows, from complex multi-camera AOI systems to single-camera applications that demand reliable, high-performance, and deterministic image acquisition.

SDK and Development Tools

The HawkEye-20GigE is supported by Gidel’s SDK, offering intuitive GUIs and APIs for streamlined system integration. Additionally, the ProcVision Suite provides advanced FPGA programming, debugging, and validation tools. Consequently, developers can rapidly customize data flows, implement real-time processing, and optimize compression pipelines, reducing development time and risk.

Why Choose the HawkEye-20GigE GigE Frame Grabber?

20 Gb/s acquisition via dual 10 GigE Vision interfaces.
FPGA-based real-time processing with HDR, white balance, and gamma correction.
Dynamic ROI compression for efficient storage and bandwidth use.
Scalable InfiniVision architecture for synchronized multi-camera systems.
Advanced SDK and ProcVision Suite for rapid development and integration.

Looking for a higher-bandwidth GigE Vision card options? Check out Proc10A-40GigE and Proc1C10M-120GigE.
Need a GigE Vision card with AI option? Visit Proc1C10N-120GigE

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

General

Camera Input

2x 10 GigE Cameras
4x 5 GigE Cameras
8x 2.5 GigE Cameras
20x 1 GigE Cameras

GigE Version

GigE Vision 2.1

Camera Input Connectors

2 x SFP+ | 2 x RJ45
(Fiber optic / Copper)

Additional Connectors

JTAG
VGA15-pin for connecting GPIO's to the bracket
16-pin board-to-board header

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

20 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:

1.7M hours

Active colling:

> 350K 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-20GigE Frame Grabber is a highly modular solution, designed to be tailored to meet unique application requirements.

Looking to adapt the HawkEye-20GigE to match your vision?

Contact Our Experts

The HawkEye-20GigE frame grabber offers two powerful customization paths to meet specific application requirements:

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.)
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.

Gidel’s real-time FPGA pipeline integrates advanced image processing options:

Compression encoders: .JPEG |Lossless | Quality+
High Dynamic Range (HDR) correction from a single exposure
For more image processing flows and customizable image processing flow, contact us

HawkEye-20GigE: FPGA resources comparison

Model	HawkEye-20GigE-48	HawkEye-20GigE-16
FPGA	Arria10-480-3	Arria10-160-2
FPGA-ALM	182K	61K
FPGA-M20K	1,438	440
FPGA-18*19 Multipliers	2,736	312
Peripheral Memory:
DRAM A capacity	1 GB	1 GB
DRAM A sustain bandwidth	5.6 GB/s	6.4 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.

Name	Description	Type	Size
HawkEye-20GigE	Datasheet	PDF	280.4 KB
HawkEye 20GigE	Block Diagram	PNG	35.2 KB

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 computers 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.

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.

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.

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.