Edge AI Rugged Computer
IBOX-650P-IP66

NVIDIA® Jetson AGX Orin™ Fanless Edge AI Computer

  • NVIDIA® Jetson AGX Orin™ SoM with 2048 CUDA Cores
  • IP66 Design (Waterproof and Dustproof) for Harsh Environment
  • 1 x 10 GbE, 2 GbE with PoE via Phoenix Contact® M12 IP67 Connectors
  • 2 x CAN FD
  • 2 x RS-232/422/485*, 4 x DI/4 x DO*
  • Supporting 4 x GMSL-2 Cameras (via FAKRA Connectors)
  • 9 ~ 60VDC Input with Built-in Smart Ignition Power Management
  • -25 ~ 70°C Operating with Fanless Design
  • Patented Design of Emergency Backup Battery*

*This is a customized specification. If you have any needs, please contact our sales representative.

Status: Available
Conformité Européenne FCC Certification E-Mark EN 50155 Wide voltage Wide temperature Fanless IP66 Design (Waterproof and Dustproof)
Rugged IP66-rated edge AI computer IBOX-650P-IP66 with FAKRA connectors and NVIDIA Jetson Orin for real-time monitoring.

Advanced Edge AI Computer Performance Powered by NVIDIA Jetson Orin

The IBOX-650P-IP66 advances field intelligence as a high-performance edge AI computer driven by the NVIDIA Jetson Orin platform. Engineered to deliver up to 275 TOPS of processing power, this rugged system handles complex deep learning workloads directly at the source. Its fanless thermal design and robust IP66-rated enclosure ensure stable operation in extreme temperatures ranging from -25°C to 70°C. This robust architecture allows for the simultaneous execution of multiple advanced neural networks, ensuring that high-speed data analytics and environmental perception remain uninterrupted in the most demanding settings.

IBOX-650P-IP66
An IP66 waterproof edge AI computer installed in a railway solution environment, ensuring stable data processing and real-time monitoring under harsh weather.

Mission-Critical Connectivity for Intelligent Railway and Defense Robotics

Engineered for rugged durability, the IBOX-650P-IP66 provides a certified hardware foundation fully compliant with EN50155 and MIL-STD-810H standards. To enable next-generation autonomous capabilities, the system features four GMSL2 camera channels via secure FAKRA connector interfaces, allowing for latency-free real-time monitoring and advanced multi-sensor vision. Perfectly tailored as an intelligent railway subsystem or a central processing hub for defense robotics, it integrates smart ignition control and a patented UPS backup battery to safeguard critical operational data and guarantee zero downtime during tactical operations or field transits.

IBOX 650P IP66 Edge AI Application

Technical FAQ

Q1: What makes the IBOX-650P-IP66 an ideal edge AI computer for a modern railway solution?

A: It integrates the powerful NVIDIA Jetson Orin architecture within a fanless, IP66-rated enclosure that strictly complies with EN50155 standards. This allows transit operators to deploy advanced machine learning directly on rolling stock for predictive maintenance and obstacle detection.

Q2: How does the FAKRA connector interface benefit high-speed defense robotics?

A: The ruggedized FAKRA connector array supports up to four GMSL2 cameras, providing secure, vibration-proof physical locking. This setup enables high-bandwidth, low-latency video feeds essential for real-time monitoring and autonomous navigation in defense robotics applications.

Q3: Does the system support specialized power management for vehicle and tactical installations?

A: Yes. The platform features smart ignition control to safely manage startup and shutdown delays based on the vehicle’s power status. Furthermore, an internal UPS backup battery prevents file corruption, ensuring graceful operating system shutdowns during unexpected power drops in critical operations.

Q4: Which ruggedness certifications validate its deployment in severe military and rail environments?

A: The system is certified to MIL-STD-810H for exceptional shock and vibration resistance, and EN50155 for railway electronics. Combined with its complete IP66 dustproof and waterproof sealing, it is ready for deployment in uncompromised, harsh field conditions.

Q5: What software ecosystem is supported to maximize this intelligent railway computing platform?

A: The system is optimized for NVIDIA JetPack 6.2 or above (including CUDA, cuDNN, and TensorRT), allowing developers to build and accelerate deep learning pipelines for rolling stock, smart infrastructure, and tactical autonomous systems.

Processing