HawkEye-CXP12
Quad CXP-12 Frame Grabber & Image Processing System
View DetailsCoaXPress Frame Grabbers & Image Processing
Gidel CoaXPress Frame Grabbers and FPGA Image Processing solutions deliver high-bandwidth capture with deterministic, low-latency performance. The portfolio scales from compact Quad CXP-12 frame grabber to powerful Octo CXP-6 and CXP-12 boards, ensuring the right fit for demanding imaging and vision workloads.
High-Performance PCIe CoaXPress Frame Grabbers: Overview & Comparison
| Product Name | HawkEye-CXP12 | Proc10A-CXP | Proc1C10N-CXP12 (AI) |
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| Camera Input Options |
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| Camera Input Connectors |
4 x Micro-BNC | 8 x Micro-BNC | 8 x 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 | |||
| Encoder Throughput (per camera) |
> 1 Giga pixel/s | > 1 Giga pixel/s | > 1 Giga pixel/s |
| Real-Time FPGA Image Processing |
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FPGA-Based CoaXPress Acquisition and Inline Processing
Gidel PCIe CoaXPress 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 CoaXPress Frame Grabber Cards
FPGA-based CoaXPress frame grabber cards for high-bandwidth acquisition and optional real-time image processing.
Inline FPGA Image Processing Options
Enhance Gidel PCIe CoaXPress 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 CoaXPress Frame Grabbers
Discover Compact FantoVision systems combining NVIDIA Jetson with built-in FPGA CXP-12 frame grabbers and inline image processing options.
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! 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.
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.
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.
Alternative Frame Grabbers & Camera Simulator Solutions
Explore Gidel FPGA-based frame grabber platforms for GigE Vision and Camera Link acquisition, along with a CoaXPress Camera Simulator for system testing and validation.
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