• RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano
  • RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano
  • RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano
  • RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano

RobooPi P53NVNA

No.ROBOOPIP53NVNA
RobooPi P53NVNA is a high-performance AI computing box for automotive vision, edge intelligence sensing, industrial vision inspection and autonomous driving, powered by NVIDIA Orin Nano 8G (67 TOPS). It supports 4-channel FAKRA cameras with GMSL2 deserializers, 128GB system storage , and runs native Ubuntu22.04, JetPack 6.2.1.
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  • RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano
  • RobooPi P53NVNA,EyeCloud AI,RobooPi P53NVNA | Edge AI Computing Box, NVIDIA Orin Nano

Description

1. Overview

The RobooPi P53NVNA is a high-performance AI computing device designed for automotive vision, edge intelligence sensing, industrial vision inspection, and autonomous driving applications. Powered by the NVIDIA Orin Nano 8G system-on-chip and featuring a MAX9296 GMSL2 deserializer solution, it supports multiple FAKRA camera modules and high-speed video data transmission, delivering robust AI inference capabilities and flexible hardware scalability. The device can be equipped with EC-SDC series GMSL Cameras for plug-and-play operation, further simplifying camera integration and deployment.

Native to the Ubuntu 22.04 operating system and JetPack 6.2.1, the device incorporates a comprehensive AI software stack and rapid development framework, providing an integrated solution with superior computing power, compatibility, and expandability for edge intelligence computing scenarios.

 

2. Product Features

  • 67 TOPS AI Computing Power: Equipped with the NVIDIA Orin Nano 8G chip, delivering advanced AI inference, high-definition video processing, and big data computing capabilities.
  • 4-Channel FAKRA Camera Input: Supports simultaneous connection of 4-channel FAKRA camera modules; standard MAX9296 GMSL2 deserializer (up to 6.0Gbps).
  • High-Bandwidth Transmission: MIPI D-PHY 4 lanes @ 2.5 Gbps per lane enables real-time acquisition, transmission, and processing of four high-definition video streams.
  • System Storage: 128GB system storage via 1 × M.2 128GB NVMe SSD.
  • Flexible Expansion: Optional WIFI/BT and GPIO modules for deployment in automotive, industrial, and outdoor scenarios.
  • Hardware-Level Synchronization: Multi-device frame synchronization and single-channel locked output ensure temporal accuracy in video acquisition and analysis.
  • SerDes Camera Software: Provided camera image output software lowers the development threshold and supports rapid secondary development.
  • Industrial-Grade Reliability: Wide operating temperature range of 0 °C ~ 45 °C for complex edge application scenarios. 

3. Specifications

Product Model RobooPi P53NVNA
System on Chip

NVIDIA Orin Nano 8G

6*Arm® Cortex® A78AE v8.2 64bit CPU @1.7GHz, 1.5MB L2 + 4MB L3

Computing Power 67 TOPS (Sparse)
System Storage 1 × M.2 128GB NVMe SSD 
OS  Linux Ubuntu 22.04, JetPack 6.2.1  (pre-installed)
Deserializer

MAX9296(GMSL2, up to 6.0Gbps)

Camera Channels 4 × High-Speed MINI FAKRA (12V@500mA) 
Display 1 × HDMI 1.4
Audio  1 × 3.5mm jack for stereo headphone output 
Network

1 × RJ-45 10/100/1000 Mbps Ethernet

1 × RJ-45 10/100/1000/10000 Mbps Ethernet

USB Interfaces

2 × USB 3.2 Gen2 Type-A

1 × USB 3.2 Gen1 Type-C

2 × USB 2.0 Type-A

1 × USB 2.0 Micro-B (Debug)

Expansion

1 × WIFI/BT (optional)

1 × aviation connector for custom GPIO extension (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 × 65 mm (L × W × H)
Weight 1.9 KG

4. Deserializer Options

Model Deserializer Remarks
P53NVNA-8G-9296 MAX9296 (GMSL2, default) Standard configuration: MAX9296 deserializer (GMSL2), 8GB memory, 128GB system storage

All models can be equipped with optional expansion modules such as WIFI/GPIO or high-capacity SSDs. For details, please consult your sales consultant.

5. Development Integration

  • Jetson Ecosystem: Compatible with the NVIDIA Jetson development ecosystem, supporting porting and deployment of mainstream AI frameworks and algorithm models.
  • BSP Update Packages to simplify underlying development work.
  • Sensor Activation Framework: Standardized startup framework for various FAKRA camera sensors, reducing selection and integration costs.
  • Dedicated Debugging Interface: USB 2.0 debugging port for device debugging, program burning, and log viewing.
  • Hardware Documentation & Technical Support: Complete hardware specification and interface definition documents, backed by a professional support team.
  • Power Adapter: CN-standard adapter included; EU/US standards optional.

6. RobooPi P53NVNA vs ECFG-R2

RobooPi P53NVNA and ECFG-R2 are both AI vision computing platforms built on the NVIDIA Jetson Orin Nano, but they are made for two different jobs: RobooPi P53NVNA is a plug-and-play deployment platform for proven EyeCloud SDC cameras, while ECFG-R2 is a development and testing platform for your own camera modules.

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?

7. AI-SOP Case Study: Camera-Enforced Assembly Verification on an Edge AI Box 

8. Contact Us to get a detailed product datasheet.

9. FAQ

Q: What AI performance does the RobooPi P53NVNA deliver?
A: An NVIDIA Jetson Orin Nano 8G system-on-chip with up to 67 TOPS (sparse) of AI compute, running Ubuntu 22.04 with JetPack 6.2.1.

Q: How many cameras can it connect?
A: Four FAKRA camera channels with hardware frame sync; MAX9296 (GMSL2) is standard, with GMSL2/3 (MAX96792) and FPD-Link (DS90UB954/DS90UB9702) deserializers optional.

Q: What sensors are already supported?
A: Sony ISX031, OmniVision vehicle image sensor OX08B40, SmartSens global shutter sensor SC233HGS, and SmartSens 8-megapixel image sensor SC855SL.


Q: Can it record video locally?
A: Yes — 128 GB of on-board storage plus optional dual M.2 NVMe SSDs (up to 1.2 GB/s) for local high-speed recording.

Q: How is it powered and where does it deploy?
A: USB Type-C PD3.0 (20 V) power, IP40 rating, 0–45 °C operating range and ≤ 180 × 200 × 70 mm dimensions for cabinet or vehicle installation.

Feel free to contact us for detailed specifications and a software demo.

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