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:
- On-FPGA real-time Compression (.JPEG, Lossless, Quality+)
- Real-Time High Dynamic Range (HDR) correction
- 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:
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High Dynamic Range (HDR) – Captures superior details in high-contrast lighting conditions.
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White Balance – Maintains color accuracy across variable lighting conditions.
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Dynamic Luminance Balance – Preserves consistent brightness under changing illumination.
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Gamma Correction – Optimizes brightness and contrast for improved clarity.
Real-time compression with Dynamic ROI delivers:
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Extended recording times without compromising quality.
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Lower transmission bandwidth for efficient data handling.
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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:
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InfiniVision: Ideal for synchronized multi-camera setups, combining all data—even across multiple cards—into a single buffer with dynamic resolutions and formats.
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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)
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Support for multiple 100+ GigE Vision cameras with real-time synchronization.
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Embedded Tensor blocks for AI-driven performance and acceleration.
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HBM2 memory delivering 10X more DRAM and SRAM bandwidth.
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143 INT8 TOPS / FP16 TFLOPS for on-board processing and inference.
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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.
General
- Up to 12 x 10 GigE Cameras
- For configurations requiring more cameras or support for 25GigE / 100GigE, please contact us.
(Fiber optic / Copper)
- Gidel PHS connector for daughterboards
- JTAG
- On-the -fly selective ROI acquisition
- Chunk Data
- Mono, Bayer, RGBA (8, 10, 12, 14 and 16 bits/color)
- RGB (8, 10 and 12 bits/color)
- Horizontal: 16 K pixels (64-bit)
- Vertical: 65 K lines
- Area
- Line Scan
Environmental conditions
- Continuous Operation: 10 - 80% (non-condensing)
- Peak Operation: 10 - 90% (non-condensing)
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?
The Proc1C10N-120GigE frame grabber offers two powerful customization paths to meet specific application requirements:
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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.
Proc1C10N-120GigE FPGA Resources
| Model | Proc10N-120GigE |
|---|---|
| FPGA | Stratix 10 NX (NX2100) |
| ALM | 702,720 |
| FPGA-MLAB | 11Mb |
| FPGA-M20K | 6,847 |
| AI Tensor Blocks | 3,960 AI Tensor Blocks; peak 143 INT8 TOPS / 286 INT4 TOPS |
| Peripheral Memory | |
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94.5 Mb @ Max throughput of 90 GB/s |
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Up to 16GB @ up to 512GB/s Sustain Throughput |
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Up to 128 GB with ECC |
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15 GB/s |
Grabbers SDK
Application Interfaces
- InfiniVision
- ProcFG
- CameraConfig – Camera discovery and configuration
- ggvcon – GigE Vision network configuration
- 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
- MVTec Halcon machine vision software
- Camera control Gen<i>Cam based application
- Windows 11
- Windows 10
- Windows Server 2022
- Windows Server 2019
- Windows Server 2016
- Linux (kernel 2.6.x- 6.12)
| Name | Description | Type | Size | |
|---|---|---|---|---|
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Proc1C10N-120GigE
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Datasheet | 283.8 KB | ||
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Proc1C10N-120GigE
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Block Diagram | PNG | 62.1 KB | |
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Proc10N: Datasheet
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FPGA module | 194.4 KB | ||
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Proc10N: Block Diagram
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FPGA module | JPG | 73.9 KB | |
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Proc1C: Datasheet
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Carrier Board | 133.5 KB | ||
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Proc1C: Block Diagram
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Carrier Board | JPG | 57.1 KB | |
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Proc1C10N - Press Release
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Gidel Proc1C10N Product Launch | 83.0 KB |
FAQ
The Proc1C10N-120GigE is built for high-density, high-speed acquisition, natively supporting:
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Up to 12 × 10 GigE Cameras directly.
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For setups requiring more than 100 cameras or high-speed 25GigE / 100GigE protocols, please contact us for custom configuration support.
This board utilizes the Altera FPGA, which features embedded Tensor blocks and high-speed HBM2 memory. By offloading both the massive data management and AI processing to the hardware, the system ensures low latency and consistent throughput while keeping the host CPU utilization negligible.
Yes. One of the core strengths of the Proc1C10N-120GigE is the option for modular inline FPGA pre-processing using Gidel’s off-the-shelf IPs. You can immediately implement real-time enhancements—such as High Dynamic Range (HDR), Real-Time Compression (Lossless, JPEG, or Quality+), Dynamic Luminance Balance, and beyond. By performing these tasks on the FPGA, you process the data before it even reaches the host memory.
Virtually zero. Because the acquisition path, synchronization, and modular ISP/compression tasks are performed entirely on the FPGA, the host CPU is freed from the heavy lifting of raw data handling. This enables you to run high-level AI inference and complex application logic on the host without any performance bottlenecks or dropped frames.
The Proc1C10N-120GigE is supported by the ProcVision™ Suite, a modular Vision SDK for FPGA development. It provides a complete ecosystem for building custom imaging systems, allowing you to insert proprietary algorithms and AI models directly into the FPGA pipeline. This environment includes dedicated tools for real-time validation and debugging, significantly reducing development risk.
By utilizing Gidel’s InfiniVision™ architecture, the board provides a flexible infrastructure for deterministic, synchronized acquisition from 100+ GigE Vision cameras. Combined with the massive bandwidth of HBM2 memory, it guarantees zero-frame-loss performance even in the most compute-intensive AI-driven environments.
Yes. The Proc1C10N-120GigE is ideal for raw data and lossless recording as well as full image processing and encoding. With 143 INT8 TOPS of processing power, it can capture wide dynamic range data and perform all necessary on-the-fly preprocessing—including deBayer, HDR, and JPEG compression. To further reduce host load, it can simultaneously provide thumbnails and ROI streams in parallel.
All Gidel products come with a 12-month warranty, dedicated technical support, and regular firmware and driver updates to ensure high-performance reliability in demanding, long-term deployments.