Overview
The reComputer Robotics GMSL board is a Robotics GMSL board designed for the reComputer Robotics series based on Jetson™ Orin™ NX and Orin™ Nano. Both data and power are transmitted over coaxial cable. The board integrates the MAX96712 deserializer and is compatible with GMSL cameras using MAX96717 or MAX9295A serializers. It has native support in JetPack for multiple Sensing cameras and the Orbbec Gemini 335LG, and it can connect up to 4 cameras simultaneously.
Key Features
- Industry-standard deserializer: MAX96712
- Compatible with MAX96717/MAX9295A camera serializers
- Supports up to 6Gbps data rate per channel
- Data and power over a single coaxial cable
- Up to 4 simultaneous camera connections
- Ready-to-use camera models supported in JetPack (see table below)
Specifications
| Product | reComputer Robotics GMSL Board |
| Deserializer | MAX96712 |
| Operating Temperature | -20℃~60℃ |
| Mechanical Dimension | 86mm x 31mm x 18mm |
Cameras Supported in JetPack
| Manufactuer | Model | Resolution |
| Sensing | SG3S-ISC031C-GMSL2F | 1920H*1536V |
| Sensing | SG2-AR0233C-5200-G2A | 1920H*1080V |
| Sensing | SG2-IMX390C-5200-G2A | 1920H*1080V |
| Sensing | SG8S-AR0820C-5300-G2A | 3840H*2160V |
| Orbbec | Orbbec Gemini 335Lg | 3D |
Hardware Overview
- Compact add-on board for reComputer Robotics systems based on Jetson Orin NX/Nano.
- Four-channel coaxial interface visible on the board (channels labeled 0–3) for multi-camera connectivity.
- Installs inside the reComputer chassis using standoffs and board-to-board connectors as shown.
Application
- Robotics (Object detection and 3D reconstruction)
- BEV Detection
Documents
Part List
| reComputer GMSL Board | x1 |
| M3 Stud | x2 |
| M3 Screw | x2 |
ECCN/HTS
| HSCODE | 8473309000 |
| USHSCODE | 8473309100 |
| EUHSCODE | 8471707000 |
| COO | CHINA |
Details

GMSL board for 4-Camera Robotics V1.0 with connectors and components




Multi-camera inputs use backbone, spatial cross-attention, and temporal self-attention to generate BEV for detection and segmentation, incorporating multi-view data, history BEV, and query mechanisms. (39 words)
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