Proc10A-40GigE:

Quad 10 GigE Vision Frame Grabber Card

4 × 10 GigE Vision Card & Image Processing System

Acquisition from up to 4 × 10 GigE Vision cameras
Zero frame loss and almost zero CPU utilization
Ideal for Recording & Streaming solutions
Inline FPGA image processing options include:
- Real-time detection for object, event, or feature identification
- On-FPGA real-time compression: JPEG, Lossless, Quality+
- Real-time High Dynamic Range (HDR) correction
Supports 100+ synchronized GV cameras using the InfiniVision
Memory: up to 33 GB
Form factor: full-height, single-slot, half-length PCI Express card

4 × 10 GigE Frame Grabber Card for GigE Vision Cameras

The Proc10A-40GigE is a high-performance 40 GigE Vision frame grabber card designed for real-time image acquisition, preprocessing, and compression from high-speed 10 GigE Vision cameras in demanding multi-camera vision systems. Powered by Altera Arria 10 FPGA technology, it supports up to 4 × 10 GigE cameras with up to 40 Gb/s aggregate input bandwidth. As a result, it delivers zero-frame-loss acquisition, ultra-low latency, and negligible host CPU load for high-speed and mission-critical imaging applications.

Quad 10 GigE Vision Acquisition with Real-Time FPGA Image Processing

The Proc10A-40GigE is available as a plug-and-play 40 GigE Vision frame grabber or as part of a complete imaging & vision system with real-time FPGA preprocessing, image enhancement, and compression options.

The built-in FPGA can process image data during acquisition, before the data reaches the host PC. This helps reduce bandwidth, storage, and host processing load while preserving low-latency performance for high-speed camera streams.

Optional FPGA processing includes Compression, HDR correction, Detection, and additional image enhancement modules.

Real-Time FPGA Processing Helps Enable:

Reduced bandwidth for high-throughput image acquisition
Low-latency processing directly in the acquisition flow
Extended recording time through real-time compression
Lower host processing load by offloading selected tasks to the FPGA
Custom image pipelines using Gidel IPs or user FPGA logic

For the full list of available image processing and enhancement options, please refer to the Options tab.

Flexible Operating Modes

The Proc10A-40GigE supports two operating modes selectable via firmware:

InfiniVision: Ideal for synchronized multi-camera setups, combining all camera data, including data acquired across multiple cards, into a single buffer with support for dynamic resolutions and formats.
ProcFG: Tailored for precision applications, offering fixed frame sizes, pixel formats, and uncompressed ROI grabbing.

As a result, the Proc10A-40GigE adapts to diverse workflows, supporting both synchronized multi-camera systems and streamlined single-camera operations.

InfiniVision: Multi-Camera Acquisition and Synchronization

Built on Gidel’s InfiniVision architecture, the Proc10A-40GigE addresses key multi-camera challenges, including synchronization, bandwidth, connectivity, and scalability. It supports acquisition from up to 4 × 10 GigE Vision cameras directly, while scalable multi-camera configurations enable synchronized acquisition from 100+ cameras.

A PCIe Gen3 x8 host interface provides CPU-free, ultra-fast data transfer, while on-board buffers of up to 33 GB support stable acquisition and real-time FPGA image processing. As a result, the Proc10A-40GigE delivers reliable performance in high-speed, high-resolution imaging systems.

SDK and Development Tools

The Proc10A-40GigE 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 Proc10A-40GigE Frame Grabber?

Quad 10 GigE Vision FPGA frame grabber for high-speed multi-camera image acquisition
Up to 40 Gb/s aggregate input bandwidth
FPGA architecture for low-latency acquisition, processing, recording, and streaming
Scalable InfiniVision architecture for synchronized multi-camera systems
Advanced SDK and ProcVision Suite for rapid development and integration
Optional real-time FPGA processing, image enhancement, and compression IPs

The Proc10A-40GigE is the ideal choice when your workload requires multi-camera 10 GigE Vision acquisition, low-latency FPGA processing, and reliable image transfer to a host PC.

The Proc10A-40GigE frame grabber offers two powerful customization paths to meet specific application requirements:

Pre-Configured FPGA Features
Gidel develops a range of pre-embedded modules tailored to your specifications, including real-time compression, image processing, and enhancement options.
For the full list of image processing and enhancements, please refer to the Options tab.
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 can also integrate customer algorithms into the FPGA or develop custom FPGA logic according to specific application requirements.

Proc10A-40GigE: FPGA resources comparison

Model	Proc10A-40G-027	Proc10A-40G-066	Proc10A-40G-115
FPGA	Altera Arria 10 GX 270	Altera Arria 10 GX 660	Altera Arria 10 GX 1150
FPGA-ALM	101,620	250,540	427,200
FPGA-M20K	750	2,133	2,713
FPGA - 18 x 19 Multiplier	1,660	3,556	3,036
Peripheral Memory:
DRAM A capacity	1 GB	1 GB	1 GB
DRAM A sustain bandwidth	5.6 GB/s	5.6 GB/s	5.6 GB/s
SoDIMM B capacity	0, 8,16 GB	0, 8,16 GB	0, 8,16 GB
SoDIMM B sustain bandwidth	8.96 GB/s	8.96 GB/s	8.96 GB/s
SoDIMM C capacity	0, 8,16 GB	0, 8,16 GB	0, 8,16 GB
SoDIMM C sustain bandwidth	8.96 GB/s	8.96 GB/s	8.96 GB/s

Name	Description	Type	Size
Proc10A-40GigE	Datasheet	PDF	300.6 KB
Proc10A-40GigE	Block Diagram	PNG	65.4 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.