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CLIENT AND SERVER CONFIGURATION

Technical Requirements Client:

  • There is no software installation required, just an HTML5 and WebGL-enabled browser such as Google Chrome 92.0, Mozilla Firefox 90.0, Microsoft Edge 92.0, Opera 78.0
  • Hardware: for 3D visualization: mid-range graphics card with 3D chip
  • Ports: HTTP connection to the server (default TCP 8080)

Cloud access (if subscription was booked):
Access is via the link. All connections are made through a 256-bit AES -secured connection.

Technical Requirements Server

(only for individual installation (an an own server or private cloud), do not apply for use cases of machine learning for the camera based object identification):

  • Software: adoptiumJDK 17, Tomcat 9.0.33, MySQL (embedded) starting from 5.7.25
  • Ports available on the Intranet: HTTP access for clients (intranet)
  • Hardware: 32 to 128 GB RAM, 1 TB SSD, QuadCore i7 (or similar), via virtual server also possible, e.g. VMWare
  • OS: Linux 4.18 or newer; RPM based (e.g. RHEL 8-9 or CentOS 8-9) or Debian based (Debian 8-11 or Ubuntu 18-22) (64bit) OR Windows 7, 10, 11 or newer (64-bit) with admin/root (sudo mode in Linux) account for installation, maintenance and monitoring
  • No constraints on rights for the needed components (e. g. root user and rights needed for Java, MySQL, TomCat), e.g. ssh, VNC, RDP access or access by AnyDesk or TeamViewer for remote maintenance
  • Data security ensured by RAID-system, backup of db-files on operating system level if required, regular layout backup
  • MySQL server time zone should be the same as server time zone

Requirements camera server for tracking and navigation with second level object recognition:

  • Server must be installed locally, on-site with direct LAN connection to the cameras
  • LAN speed above 1 GBit
  • Software: Docker since ce-19.04 or higher, nvidia driver 490 or higher
  • Ports available on the Intranet: HTTP access for clients (intranet)
  • Hardware: 32 to 128 GB RAM, 1 TB SSD, QuadCore i7 (or similar), via virtual server also possible, e.g. VMWare
  • OS: Ubuntu 20 or 22 (64bit) with admin/root (sudo mode in Linux) account for installation, maintenance and monitoring
  • No constraints on rights for the needed components e.g. ssh, VNC, access or access by AnyDesk or TeamViewer for remote maintenance
  • Powerful GPU, e.g. NVIDIA Tesla P40 with nvidia driver 495 or higher (Please clarify performance requirements with consultant!)
  • Data security ensured by RAID-system, backup of db-files on operating system level if required, regular layout backup

Requirements object identification with artificial intelligence:

  • Identification camera (model depending on use case)
  • Recognition Box with GPU (individual performance requirements)
  • Typical hardware for Recognition Box: Windows / Linux PC with NVIDIA Geforce GTX 1080 (or more powerful)
  • W2MO License