Neural-Box® visu

Neural-Box® visu
All-in-one Edge Computing Device with AI acceleration based on the NVIDIA Jetson platform, scalable in three performance levels. Rugged aluminium housing in IP67 for direct use on machines with bright and robust 21.5″ multi-touch display in harsh environments, connection via 30-pin cable harness connectors. Communicative through numerous interfaces, both wired and wireless.

The operating system used is the Linux distribution Ubuntu, prepared by NVIDIA for AI acceleration. CODESYS, including web visualisation, is implemented as the runtime system for PLC controllers, into which real-time capable AI applications can also be embedded. For efficient data management, an Azure Edge database is prepared that can be automatically synchronised with a Cloud database. Our Edge Computing devices can be tracked, configured and applications updated via a web frontend.


Display: 21.5″ capacitive multi-touch display with protective glass, optically bonded, 1000cd/m²
Processor systems:
  • NVIDIA Jetson nano (Quad-Core CPU / 128-Core GPU) or
  • NVIDIA Jetson Xavier NX (Six-Core CPU / 384-Core GPU / 48 Tensor-Cores) or
  • NVIDIA Jetson Orin NX (Octo-Core CPU / 1024-Core GPU / 32 Tensor-Cores)
  • RAM 4 / 8 / 16 GB
  • eMMC 16 GB (nano + Xavier)
  • SSD 2 TB (optional for nano + Xavier)
  • NVRAM 64kB
  • microSD
  • 1 x Gigabit Ethernet 1000/100 BASE TX (M12, x-coded)
  • 1 x Ethernet / EtherCAT 100BASE, switchable TX / T1 (UTP / SPE)
  • 1 x USB 3.2, 2 x CAN,
    2 x RS232,
    1 x Lowside-Switch
Interfaces wireless:
  • 4G / LTE oder 5G (MiMo) with GNNS as module (optional)
  • WiFi (MiMo) / Bluetooth (optional)
Security: Infineon OPTIGA™ TPM2.0-Security-Chip
Voltage: 8-32 V, terminal 15 (ignition)
Housing: Rugged IP67 housing with passive cooling, additional heat sink may be necessary, fastening with M6 screws

Neural-Box® mobile

Powerful edge computing for direct use on machinery in harsh environments (IP67) with cable harness connector.

Neural-Box® industrial

Powerful edge computing for the DIN rail or as a desktop variant.

ADVES Functional Framework

Implement entire control systems efficiently and safely.