Gidel’s High-Performance CoaXPress Frame Grabbers deliver high-bandwidth acquisition with deterministic, low-latency performance. By combining these CoaXPress Frame Grabbers with FPGA Image Processing, our portfolio scales from compact Quad CXP-12/6 link cards to powerful Octo CXP-12 boards, ensuring the ideal CoaXPress Acquisition Solution for any demanding vision workload.
| CoaXPress Frame Grabbers |
HawkEye- CXP12 |
Proc10A- CXP |
Proc1C10N- CXP12 (AI) |
|---|---|---|---|
| Product Image | 
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| Camera Input |
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| Camera Input Connectors | 4x Micro-BNC | 8x Micro-BNC | 8x Micro-BNC |
| Host Interface (PCIe) | Gen3 x8 | Gen3 x8 | Gen3 x16 |
| On-Board Memory | Up to 17GB | Up to 33GB | 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 |
| Real-Time HDR Correction | ✓ | ✓ | ✓ |
The FantoVision40-CXP12 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 enhancements—while Jetson runs CUDA-based imaging and AI.
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High-Bandwidth 4x CoaXPress-12 Frame Grabber and Image Processing System
High-Bandwidth 8x CoaXPress-6 Frame Grabber and Image Processing System
High-Bandwidth 8x CoaXPress-12 Frame Grabber and Image Processing System
Including AI Option
Modular CoaXPress Options With Gidel
Rugged NVIDIA Jetson with:
Quad CoaXPress-12
Frame Grabber
Rugged NVIDIA Jetson With:
Quad CoaXPress-12
Optional 10GigE Frame Grabber
Modular CoaXPress Edge Computers 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! Gidel’s high-performance GigE Vision, Camera Link and CoaXPress frame grabbers help overcome bandwidth bottlenecks in high-resolution and/or high-speed computer vision applications.
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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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Gidel founder and CTO Reuven Weintraub present the performance and versatility of Gidel’s GigE Vision, Camera Link and CoaXPress frame grabbers for high-speed image acquisition and pre-processing at the Embedded World 2022 in Nuremberg, Germany.
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