1. Overview
ECFG-R2 is a two-channel open system for the development and road testing of automotive cameras, easily initialized with low-code to bring up sensors and SerDes chips. With 2 high-speed MINI FAKRA connectors, it supports GMSL 2/3 and FPD-Link III/IV through ADI and TI deserializers. Powered by an NVIDIA Jetson Orin Nano, it ships with a 128GB M.2 NVMe SSD for local storage and offers flexible connectivity through USB 3.2, dual RJ45 and HDMI.
Part of the ECFG series, ECFG-R2 works with EyeCloud's SDK development kit and UGrab interactive software, covering the complete automotive camera development and validation workflow:
2. Product Highlights
3. Specifications
| Product Model | ECFG-R2 |
| Processor | NVIDIA Jetson Orin Nano, 6 × Arm Cortex A78AE v8.2 64-bit CPU @ 1.7 GHz, 1.5MB L2 + 4MB L3 |
| System Memory | 4GB 64-bit LPDDR5 (51 GB/s) |
| System Storage | 1 × M.2 128GB NVMe SSD |
| Deserializer | MAX9296 (GMSL 2, up to 6.0 Gbps); MAX96792A (GMSL 3, up to 12.0 Gbps); DS90UB954-Q1 (FPD-Link III, up to 4.16 Gbps); DS90UB9702-Q1 (FPD-Link IV, up to 7.55 Gbps) |
| Camera Connector | 2 × High-Speed MINI FAKRA (12V @ 500 mA) |
| Ethernet | 1 × RJ-45 10/100/1000 Mbps; 1 × RJ-45 10/100/1000/10000 Mbps |
| External I/O Connector | 2 × USB 3.2 Gen2 Type-A (Host); 1 × USB 3.2 Gen1 Type-C; 2 × USB 2.0 Type-A (Host); 1 × USB 2.0 Micro-B (Debug); 1 × HDMI 1.4 |
| Audio | 3.5mm jack for stereo headphone output |
| WiFi/BT | Optional |
| Power Requirement | USB Type-C PD3.0 power supply (DC 20V @ 3.25A) |
| Operating Temperature | 0 °C ~ +45 °C |
| Storage Temperature | -40 °C ~ +55 °C |
| Dimensions | 180 mm × 200 mm × 60 mm |
| Weight | 1.9 kg |
4. Model Options
| P/N | Deserializer | Processor | Memory | Storage | Adapter |
| ECFG-R2-9296 | MAX9296 (GMSL 2, default) | NVIDIA Jetson Orin Nano | 4GB LPDDR5 | 128GB SSD | USB Type-C PD3.0 |
| ECFG-R2-96792A | MAX96792A (GMSL 3) | NVIDIA Jetson Orin Nano | 4GB LPDDR5 | 128GB SSD | USB Type-C PD3.0 |
| ECFG-R2-954 | DS90UB954-Q1 (FPD-Link III) | NVIDIA Jetson Orin Nano | 4GB LPDDR5 | 128GB SSD | USB Type-C PD3.0 |
| ECFG-R2-9702 | DS90UB9702-Q1 (FPD-Link IV) | NVIDIA Jetson Orin Nano | 4GB LPDDR5 | 128GB SSD | USB Type-C PD3.0 |
5. Supported Sensors and SerDes
Beyond the on-board deserializer options above, ECFG-R2 has been validated with the following image sensors and camera-side SerDes chips, so you can bring up your own camera modules with low code.
| Manufacturer | Image Sensor |
| onsemi | AR0830, AR0820, AR0234 |
| SmartSens | SC8238 |
| Sony | IMX490, IMX728, IMX735 |
| Role | Manufacturer | SerDes Chip |
| Deserializer (on-board) | Maxim (ADI) | MAX9296 (GMSL 2), MAX96792A (GMSL 3) |
| Deserializer (on-board) | TI | DS90UB954-Q1 (FPD-Link III), DS90UB9702-Q1 (FPD-Link IV) |
| Serializer (camera side) | Maxim (ADI) | MAX9295, MAX96717, MAX96793 (GMSL 3) |
| Serializer (camera side) | TI | DS90UB953, DS90UB971, DS90UB935 |
*Some customer-provided camera models are not listed here. Contact us for the latest compatibility list.
6. Development Integration
Feel free to contact us for detailed specifications and a UGrab software demo.
7. ECFG-R2 vs RobooPi P53NVNA
ECFG-R2 and RobooPi P53NVNA are both AI vision computing platforms built on the NVIDIA Jetson Orin Nano, but they are made for two different jobs: ECFG-R2 is a development and testing platform for your own camera modules, while RobooPi P53NVNA is a plug-and-play deployment platform for proven EyeCloud SDC cameras.
| Feature | ECFG-R2 (R2-96792) | RobooPi P53NVNA (P53NVNA-8G-9296) |
| Positioning | Development and testing platform for your own camera modules | Plug-and-play deployment platform for EyeCloud SDC cameras |
| Jetson Orin Nano | 4 GB, 34 TOPS (sparse) | 8 GB, 67 TOPS (sparse) |
| Memory | 4 GB 64-bit LPDDR5 (51 GB/s) | 8 GB 128-bit LPDDR5 (102 GB/s) |
| Camera Input | 2 × high-speed MINI FAKRA | 4 × high-speed MINI FAKRA |
| Deserializer Options | MAX9296, MAX96792A, DS90UB954-Q1, DS90UB9702-Q1 — GMSL 2/3 and FPD-Link III | MAX9296 (GMSL 2), matched to the SDC camera family |
| Best For | Custom SerDes bring-up, signal-quality testing, burn-in and MTF/SFR evaluation | Ready-made SDC cameras, plug-and-play operation, AI NVR (Frigate) |
For a detailed side-by-side breakdown, read the blog post: Differences Between R2 and P53: Which One Should You Choose?
8. Related Case Studies & Blog Posts
Related Blog Posts
9. FAQ
Q: What compute and memory does the ECFG-R2 have?
A: An NVIDIA Jetson Orin Nano processor with 4 GB 64-bit LPDDR5 (51 GB/s) and a 128 GB M.2 NVMe SSD.
Q: Which camera interfaces does it support?
A: Two MINI FAKRA ports (12 V @ 500 mA) with four deserializer options: MAX9296 (GMSL 2, default), MAX96792A (GMSL 3), DS90UB954-Q1 (FPD-Link III) and DS90UB9702-Q1 (FPD-Link IV).
Q: Which image sensors and SerDes chips have been validated?
A: Validated image sensors include onsemi AR0830 / AR0820 / AR0234, SmartSens SC8238 and Sony IMX490 / IMX728 / IMX735. On the link side, the on-board deserializers pair with camera-side serializers such as Maxim MAX9295 / MAX96717 / MAX96793 (GMSL 3) and TI DS90UB953 / DS90UB971 / DS90UB935. Some customer-provided models are not listed — contact us for the latest compatibility list.
Q: What OS and software does it run?
A: Ubuntu 22.04 with JetPack 6.2.1, including SDK development kit support and UGrab interactive software for camera monitoring and inspection.
Q: How is it powered?
A: USB Type-C PD3.0 power supply (DC 20 V @ 3.25 A), with a 0–45 °C operating range.