• ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber
  • ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber
  • ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber
  • ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber

ECFG-R2

No.ECFGR2
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 via ADI/TI deserializers, powered by NVIDIA Jetson Orin Nano with 128GB NVMe local storage.
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  • ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber
  • ECFG-R2,EyeCloud AI,ECFG-R2 | 2-Channel GMSL2/GMSL3 & FPD-Link Frame Grabber

Description

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:

  • Camera module bring-up: light up your own modules with low code, including sensor and SerDes initialization.
  • Road-test data recording: record camera data during road tests onto the on-board M.2 NVMe SSD.
  • Burn-in testing: long-duration aging tests under continuous operation.
  • Reliability testing: robustness and stability validation over long-run operation.
  • MTF/SFR evaluation: quantitative image-quality evaluation of automotive cameras.
  • SerDes link signal-quality monitoring: monitor SerDes link signal integrity during development and road testing.

2. Product Highlights

  • NVIDIA Jetson Orin Nano: 6 × Arm Cortex A78AE v8.2 64-bit CPU @ 1.7 GHz, with 4GB 64-bit LPDDR5 (51 GB/s).
  • 2 × High-Speed MINI FAKRA Inputs: 12V @ 500 mA per connector for automotive camera modules.
  • ADI & TI Deserializer Support: 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) and DS90UB9702-Q1 (FPD-Link IV, up to 7.55 Gbps).
  • Local NVMe Storage: 1 × M.2 128GB NVMe SSD for on-device data and recording.
  • Dual Ethernet: 1 × RJ-45 10/100/1000 Mbps and 1 × RJ-45 10/100/1000/10000 Mbps.
  • Rich I/O: 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) and 1 × HDMI 1.4.
  • Flexible Power: USB Type-C PD3.0 power supply (DC 20V @ 3.25A).
  • Optional WiFi/BT and 3.5mm jack for stereo headphone output.

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

  • OS: Linux Ubuntu 22.04 with JetPack 6.2.1.
  • SDK Development Kit support for custom applications.
  • UGrab Interactive Software support for camera monitoring and inspection during testing.

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.

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