AI Robots Solution
End-to-End AI Robot Solution delivers AI-accelerated Platforms, Time Synchronization, Software Stack, and Fleet Management. From concept to fleet, Vecow one-stop AI Robot Solution simplifies developme.
Digital Rail Solution
Reliable EN-50155 railway computing for mission-critical rolling stock, trackside monitoring, and real-time passenger information systems.
Intelligent Factory Solution
Drive Industry 4.0 with high-speed machine vision and AI-accelerated platforms for real-time defect detection and factory automation.
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NVIDIA® Jetson AGX Orin™ Embedded AI Computing System, supporting 8 Fakra-Z GMSL cameras or 4 PoE+ LAN, and 1 PCIe x8 slot

  • The latest NVIDIA Ampere architecture, featuring with 2048 NVIDIA CUDA® cores and 64 Tensor cores
  • 6 GigE LAN with 4 PoE+, 1 Digital Display supports 4K60
  • 2 Isolated CAN Bus support Flexible Data-rate, 2 COM RS-232/422/485, 5 USB 3.1
  • DC 9V to 50V wide range power input, Ignition Power Control
  • Supports device remote management by Allxon

Vecow EAC-5000 Series is powered by NVIDIA Jetson AGX Orin platform that features an Arm® Cortex®-A78AE CPU delivering up to 275 TOPS of AI performance and integrates an advanced NVIDIA Ampere architecture GPU with 64 Tensor Cores. It’s capable of delivering server-class performance for edge AI applications.
 
The EAC-5000 Series is rugged in design and supports high compute density with I/O flexibility, including 8 GMSL2 cameras, 1 PCIe x8 slot, 2 GigE LAN with an optional choice of X-coded M12 connector, 5 USB, 2 COM, 2 Isolated CAN Bus, and 2 SIM card sockets. With support for 9V to 50V wide range DC-in, operating temperature range from -25°C to 70°C, as well as software ignition control, Vecow EAC-5000 Series is ideal for in-vehicle computing, robotic control, machine vision, intelligent video analytics, mobile robots, and any embedded AI applications.
 
Furthermore, the EAC-5000 Series supports the NVIDIA JetPack™ 6 software development kit, which expands the Jetson platform’s flexibility and scalability to accelerate AI application deployment.

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