HawkEye-CXP12
Quad CXP-12 Frame Grabber & Image Processing System
View DetailsGidel 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.
| Product Name | HawkEye-CXP12 | Proc10A-CXP | Proc1C10N-CXP12 |
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| Camera Input Options |
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| Camera Input Connectors |
4 × Micro-BNC | 8 × Micro-BNC | 8 × 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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| Cooling Options |
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Gidel PCIe CXP 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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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.
The right CoaXPress frame grabber depends mainly on the camera interface, number of links, aggregate bandwidth, memory, and processing requirements. Gidel offers Quad CXP-12, Octo CXP-6, and Octo CXP-12 PCIe frame grabbers, covering applications from compact high-speed acquisition to demanding multi-camera and AI-driven imaging systems.
Yes. Gidel’s PCIe CoaXPress frame grabbers can perform optional inline FPGA processing during acquisition, before image data reaches the host PC. Available capabilities include Compression, HDR correction, Detection, image enhancement, ROI processing, and custom FPGA algorithms.
Yes. Gidel’s InfiniVision architecture supports deterministic, synchronized acquisition from 100+ CXP cameras across scalable multi-card systems. It manages synchronization, bandwidth, connectivity, buffering, and data aggregation for demanding multi-camera imaging applications.
Gidel provides dedicated software, drivers, APIs, and GUI tools for camera configuration, image acquisition, system control, and application integration. For applications requiring customized FPGA processing, the ProcVision Suite provides development, debugging, and validation tools for integrating proprietary algorithms directly into the image acquisition pipeline.
A PCIe CoaXPress frame grabber installs in a host computer and transfers acquired image data through PCIe. A Gidel FantoVision40 system combines CXP-12 acquisition, an NVIDIA Jetson processor, and optional real-time FPGA image processing in a compact Edge AI computer. The correct platform depends on whether the application requires a host-based PCIe card or a complete embedded vision system.
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