Gidel GigE Vision Frame Grabbers & FPGA Image Processing deliver high-bandwidth capture with deterministic, low-latency performance. The portfolio scales from compact dual-port 10GigE cards to ultra-high-throughput boards that capture and process up to 12× 10GigE cameras—and beyond.
| GigE Vision Frame Grabbers Model |
HawkEye-20GigE | Proc10A-40GigE |
|---|---|---|
| Product Image | 
|
|
| Camera Input |
|
|
| Camera Input Connectors | 2× SFP+ | 2× RJ45 (Fiber optic / Copper) |
QSFP | 4x RJ45 (Fiber optic / Copper) |
| Host Interface (PCIe) | Gen3 x8 | Gen3 x8 |
| On-Board Memory | Up to 17GB | Up to 33GB |
| Real-Time ROI Offload | ✓ | ✓ |
| Real-Time Encoders (Optional) | ||
| Encoder Throughput (per camera) | > 1 Giga pixel/s | > 1 Giga pixel/s |
| Real-Time HDR Correction |
✓ | ✓ |
| GigE Vision Frame Grabbers Model |
Proc1C10M-120GigE | Proc1C10N-120GigE (For AI) |
|---|---|---|
| Product Image | 
|
|
| Camera Input |
|
|
| Camera Input Connectors |
4× QSFP | 12x SFP+ | 12× RJ45 (Fiber optic / Copper) |
4× QSFP | 12x SFP+ | 12× RJ45 (Fiber optic / Copper) |
| Host Interface (PCIe) |
Gen3 x16 | Gen3 x16 |
| On-Board Memory |
8GB | 8GB |
| Real-Time ROI Offload |
✓ | ✓ |
| Real-Time Encoders (Optional) |
||
| Encoder Throughput (per camera) |
> 1 Giga pixel/s | > 1 Giga pixel/s |
| Real-Time HDR Correction |
✓ | ✓ |
The FantoVision20-GigE family pairs an NVIDIA Jetson computer with an Altera Arria 10 FPGA in Mini Jetson Frame Grabber Systems. The FPGA performs real-time pre-processing—Compression, HDR, and image enhancement—while Jetson runs CUDA-based imaging and AI.
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Dual 10GigE Vision Frame Grabber & Image Processing System | Smart NIC
40GigE Vision Frame Grabber & Image Processing System
Smart NIC
Up to Quad 100GigE Vision Frame Grabber for real-time Image Processing
Smart NIC
Up to Quad 100GigE Vision Frame Grabber for real-time Image Processing & AI acceleration
Smart NIC
Rugged NVIDIA Jetson with:
Dual 10GigE Interface
Rugged NVIDIA Jetson with:
Dual 10GigE +
Camera Link Frame Grabber
Rugged NVIDIA Jetson With:
Quad CoaXPress-12 +
10GigE Option
Modular Jetson GigE Options with Gidel
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.
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Gidel frame grabbers and edge computers at the Embedded World show 2024.
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Boost your vision! Brief introduction of Gidel’s Frame Grabber range – 2023.
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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.
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Reuven Weintraub – Gidel’s founder and CTO presents Frame Grabber innovations at Embedded World show 2022.
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