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embedded computer and touch panel computer

AI Vehicle Box-PC RS A3N (NVIDIA Jetson Xavier NX)

NVIDIA Jetson based embedded box-PC for in-vehicle and smart mobility applications

For smart city and smart mobility applications · Based on Jetson Xavier NX  · IP65 · Designed to meet UN ECE-R10 (E-Mark)

Syslogic’s AI-powered Vehicle Computer RS A3N combines the advantages of the NVIDIA Jetson-Xavier-NX with the features of a rugged industrial computer. The Xavier-NX module features a six-core, 64-bit CPU and an NVIDIA Volta GPU with 384 cores and 48 tensor cores. In terms of performance, the Xavier-NX is almost on the same level as the Jetson-AGX-Xavier - at a convincing price-performance ratio. Furthermore, NVIDIA provides a complete developer environment with its JetPack SDK (Software Development Kit).

Syslogic is one of the world’s leading providers when it comes to making NVIDIA Jetson technology fit for increased requirements. The RS A3N AI computer is the best example of this. It meets the IP65 protection class and is suitable for 24/7 operation under increased requirements. 

With its Jetson-Xavier-NX platform, the embedded PC is ideal for low-latency perception applications. This involves creating an overall image from data from sensors such as radar, lidar and camera. In conjunction with AI algorithms, the embedded PC independently derives intelligent decisions. 

The AI Vehicle Computer RS A3N is often used in agricultural vehicles, construction machinery, autonomous mobile robots (AMRs) or smart city applications. The embedded computer supports the CAN-based SAE J1939 network protocol. For reliable use in vibrations, CAN and Ethernet interfaces are designed with M12 connectors.

In use
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Technical data
  • 384-core NVIDIA Volta™ GPU
  • with 48 Tensor Cores
  • 6-Core ARM v8.2 64-bit NVIDIA Carmel CPU
  • 8GB 128-bit LPDDR4x RAM soldered on board
  • M.2 slot for storage expansion
  • Ethernet, USB, Passive or Active CAN
  • LTE, GNSS & WiFi
  • Aluminum & Stainless steel housing
  • Protection class IP65
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