HawkEye-CL
Camera Link Frame Grabber and Image Processing System
View ProductsCamera Link Grabber
Gidel Camera Link Grabber & FPGA Image Processing delivers high-bandwidth capture with deterministic, low-latency performance. Moreover, the HawkEye-CL supports Camera Link Rev. 2.0 across Base, Medium, Full, and 80-bit (Deca)…
High-Performance Camera Link Grabber Solutions
Gidel Camera Link Grabber & FPGA Image Processing delivers high-bandwidth capture with deterministic, low-latency performance. Moreover, the HawkEye-CL supports Camera Link Rev. 2.0 across Base, Medium, Full, and 80-bit (Deca) modes, thereby meeting the needs of demanding imaging and vision workloads.
Camera Link Grabber Card — Feature Summary
| Camera Link Card | HawkEye-CL |
|---|---|
| Product Image | 
|
| Camera Input |
|
| Camera Input Connectors | 2× SDR26 (mini Camera Link) |
| Host Interface (PCIe) | Gen3 x8 |
| On-Board Memory | Up to 17 GB |
| Real-Time ROI Offload | ✓ |
| Real-Time Encoders (Optional) | |
| Encoder Throughput (per camera) | > 1 Giga pixel/s |
| Real-Time HDR Correction | ✓ |
Camera Link & AI on the Edge
The FantoVision20-CL platform 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.
Mini Jetson Camera Link System Models
- For a Jetson system with Camera Link Grabber? See FantoVision20-CL.
- Need a Jetson system with Dual 10GigE & Camera Link interfaces? See FantoVision20.
Need more information?
Camera Link PCIe Grabber
NVIDIA Jetson with built-in Camera Link Frame Grabber Systems
Technical Resources
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 computers 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.
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