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Computer Vision for Public Transportation - Phase 1
Overview Solution overview Partner overview Lab architecture overview Use case validation
Use case validation
DeepInsights dashboard overview
Edit Scene and ROI workflow validation
Inside camera scenes
Outside camera scenes
Event and telemetry data management
Video management system (VMS) use cases
Findings
Conclusions and References

Findings

Home > Workload Solutions > Computer Vision > White Papers > Computer Vision for Public Transportation - Phase 1 > Findings

Findings

    • EPIC iO’s DeepInsights is an AI platform that seamlessly combines remote video and sensor data to deliver actionable insights.
    • The rules we created generated the expected telemetry and alerts with minimal configuration or specialized knowledge of the underlying computer vision models.
    • We could easily configure EPIC iO’s Universal IOT Gateway, powered by Dell Edge Compute, to transmit computer vision inference results as events and IoT sensor data to EPIC iO’s cloud, also powered by a Dell Technologies Validated Cloud Architecture.
    • The EPIC iO Federated VMS user interface was clean and powerful. We could easily configure data offload from the bus simulator on a pre-programmed schedule.
    • PowerScale SyncIQ is an efficient tool for data replication over WAN connections that will easily extend to many depots consolidating data to a single private cloud data center.