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Overview
CCG3-8H CoaxCapture ll GMSL Video Capture Card, it is a high- speed image product based on FPGA. The card can connect GMSL/GMSL2 cameras, and has the advantages of high framerate, high speed, low latency, etc. It is widely used in autonomous machine, autonomous vehicle, data capture and other scenes.
Specifications
- Model : CCG3-8H
- Processor : Xilinx ZU+ system processor
- PC Bus Interface : PCI Express x8 (Gen 3)
- Standard : GMSL
- Serializer Supported : MAX96705/MAX9295A/MAX96717F...
- Power Output : Power Over Cable 4W/9V per cable
- Camera Support : 8 cameras input
- Camera Resolution : 1-8Mega pixel
- Bit Depth : 8 bit (YUV422), 8/12/16-bit (RAW)
- Software Drivers : Linux 64-bit,Ubuntu18.04/20.04
- Operating Temperature : -20°C to 70°C
- Storage Temperature : -40°C up to 80°C
- Dimensions : 167.64mm * 111.15 mm
- Weight : 300g
Features

- 8 GMSL cameras input, support up to 8 Mega Pixels@ 30 fps;
- PCI-e Gen3*8lane;
- Support external trigger synchronization;
- Support GPS Timing synchronization;
- Support network PTP timing synchronization;
Application
Hardware solution of autonomous driving/machine

- 2 PCI-e slots support up to connect 16 GMSL cameras;
- Max support 4K@30fps pixel input ;
- PCI Express 3.0;
- Support synchronous alignment of multiple cameras and lidars;
- Support the function of timestamp in the capture card;
- Ultra low latency;
- Support fetching camera exposure parameter;
Automatic driving vehicle data capture

- 2 PCI-e slots support up to connect 16 GMSL cameras;
- Max support 4K@30fps pixel input ;
- Support ACU work of the original vehicle and data captureproceed synchronously;
- Support synchronous alignment of multiple cameras and lidars;
- Support the function of timestamp in the capture card;
- Use GMSL Bypass module realize GMSL camera input to ACUand video capture card synchronously lossless;
- Support RAW and YUV data camera;
More Detailed User Guide
Welcome to the Wiki Service Platform, where you can access related product and technical documentation.
Please obtain the SDK driver through the Github link.