HawkEye-20GigE
Dual 10 GigE 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 10 GigE frame grabber cards to ultra-high-throughput boards supporting acquisition from up to 12 × 10 GigE 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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| 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 | ✓ | ✓ | ✓ | ✓ |
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| Encoder Throughput (per camera) |
> 1 Giga pixel/s | > 1 Giga pixel/s | > 1 Giga pixel/s | > 1 Giga pixel/s |
| Real-Time FPGA Image Processing |
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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, Detection, 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, Detection, 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.
System block diagram
System block diagram
System block diagram
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.
Alternative Frame Grabbers & Camera Simulator Solutions
Explore Gidel FPGA-based frame grabber platforms for CXP-12 and Camera Link acquisition, along with Camera Simulators for system testing and validation.
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- Custom configuration options
- Volume pricing available
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