HawkEye-20GigE
Dual 10GigE Vision Frame Grabber & Image Processing System
Smart NIC
GigE Vision Frame Grabbers & Image Processing
Gidel GigE Vision Frame Grabbers and FPGA Image Processing solutions deliver high-bandwidth capture with deterministic, low-latency performance. The portfolio scales from compact dual-port 10GigE frame grabber cards to ultra-high-throughput boards supporting acquisition from up to 12 × 10GigE Vision cameras, providing a scalable fit for demanding imaging and vision workloads.
High-Performance PCIe GigE Vision Frame Grabbers: Overview & Comparison
| Product Name | HawkEye-20GigE | Proc10A-40GigE | Proc1C10M-120GigE | Proc1C10N-120GigE (For AI) |
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| Camera Input Connectors | 2× SFP+ | 2× RJ45 (Fiber optic / Copper) |
QSFP | 4x RJ45 (Fiber optic / Copper) |
4× QSFP | 12x SFP+ | 12× RJ45 (Fiber optic / Copper) |
4× QSFP | 12x SFP+ | 12× RJ45 (Fiber optic / Copper) |
| Host Interface (PCIe) | Gen3 x8 | Gen3 x8 | Gen3 x16 | Gen3 x16 |
| On-Board Memory | Up to 17GB | Up to 33GB | 8GB | 8GB |
| Real-Time ROI Offload | ✓ | ✓ | ✓ | ✓ |
| Real-Time Encoders (Optional) | ||||
| Encoder Throughput (per camera) | > 1 Giga pixel/s | > 1 Giga pixel/s | > 1 Giga pixel/s | > 1 Giga pixel/s |
| Real-Time HDR Correction | ✓ | ✓ | ✓ | ✓ |
FPGA-Based GigE Vision Acquisition and Inline Processing
Gidel PCIe GigE Vision frame grabbers manage high-bandwidth camera acquisition directly on the Altera FPGA, enabling deterministic, low-latency data capture while reducing CPU overhead. Optional inline FPGA processing supports real-time image enhancement, Compression, HDR, and data optimization before host-side processing.
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High-Performance GigE Vision Frame Grabber Cards
FPGA-based GigE Vision frame grabber cards for high-bandwidth acquisition and optional real-time image processing.
Inline FPGA Image Processing Options
Enhance Gidel PCIe GigE Vision frame grabbers with FPGA processing options for real-time image enhancement, Compression, HDR, and data optimization before host-side processing.
Edge AI Systems with Built-In GigE Vision Frame Grabbers
Discover Compact FantoVision systems combining NVIDIA Jetson with built-in FPGA GigE Vision frame grabbers and inline image processing options.
FantoVision20-GigE
Mini Edge AI System with:
Built-in Dual 10GigE Vision Frame Grabber
FantoVision20
Mini Edge AI System with:
Built-in Camera Link and Dual 10GigE Vision Frame Grabbers
FantoVision40
Mini Edge AI System with:
Built-in Quad CXP-12 Frame Grabber and Optional 10GigE Vision Support
Modular Edge AI Solutions for GigE Vision
View DetailsTechnical Resources
System block diagram
System block diagram
System block diagram
Related Videos
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 AI vision at the Embedded World show 2024.
Boost your vision! Brief introduction of Gidel’s Frame Grabber range – 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.
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.
Reuven Weintraub – Gidel’s founder and CTO presents Frame Grabber innovations at Embedded World show 2022.
Other Frame Grabber Options
Need Help Choosing?
Our experts can help you find the right product for your specific requirements.
- Free product consultation
- Technical specifications review
- Custom configuration options
- Volume pricing available
Or contact us directly:
sales@gidel.com