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Computer Vision for Public Transportation - Phase 2
Overview Architecture concepts Solution architecture
Solution architecture
Physical architecture
Computing resources Network Storage resources
Virtual architecture
Bus depot Data center private cloud EPIC iO managed cloud
Software
Validation Sizing the solution Conclusions References

Virtual architecture

Home > Workload Solutions > Computer Vision > Guides > Computer Vision for Public Transportation - Phase 2 > Virtual architecture

Virtual architecture

  • Bus depot

    The DeepInsights software running at the bus depot provides:

    • Fast video offload from the bus to the depot storage using private 5G when the bus arrives at the depot.
    • Replication of video data to a customer's private cloud data center (DC) over a high-speed link.

    TheDeepInsights software for the bus depot system was deployed as a VMware virtual machine running on one or our Rugged XR4000 cluster with the following configuration:

    • Ubuntu 20.04 LTS operating system
    • Virtual hardware resources:
      • 4 CPUs
      • 32GB RAM
      • 2TB HDD
      • 10Gb NIC