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Computer Vision Workflow Enhancement – Data Management with Tiger Surveillance
Overview
Introduction
Business challenges
Solution overview Partner overview Architecture Sizing and scaling guidance Use cases Conclusions and references

Introduction

Home > Workload Solutions > Computer Vision > White Papers > Computer Vision Workflow Enhancement – Data Management with Tiger Surveillance > Introduction

Introduction

  • Organizations from every industry are in a digital race to turn data into insights that produce better business outcomes. With the right technology investments, video and other data being generated at the network edge can now be connected with traditional data sources available on widely accessible centralized networks. These new technology options open up many opportunities for creating higher-value business outcomes. From improving enterprise-wide situational awareness to tracking customer flow in retail to optimizing supply chains, the opportunities to improve business outcomes are immeasurable when organizations can merge Computer Vision (CV) outcomes with other data sources to enable fully integrated analytics.

    Progress towards reaching these goals, however, can be impeded when design and operational complexities are not controlled. Camera deployment proliferation, the transition to high-resolution video, and the demand for extended retention policies drive ever-increasing storage and analytics workload demands. This can overwhelm systems with poor designs that do not adequately address scaling and management capabilities.

    Given the vast array of technology options available, many organizations seek guidance on matching a suitable system to the proper workflows to achieve the desired outcomes. That is where Dell Technologies comes into play. Given technological advances and decades of operational experience, Dell computer vision solutions are now playing a central role in many organizations’ efforts to achieve faster time to value.

    Dell Technologies is pioneering a move away from narrow-scoped technology and platform solutions. In March 2022, we released the design of a platform architecture that can support an integrated set of CV and Video Management System (VMS) software applications that all work together with the hardware to achieve those outcomes. The platform includes a complete set of modern hyperconverged hardware and software familiar to the IT industry. The compute resources are Dell PowerEdge servers in a VxRail configured offering using Intel processors and NVIDIA GPUs. VMware vSphere manages the VxRail cluster plus the Tanzu Cloud Native Application Platform is available where needed. This platform design produced a flexible and robust starting point for subsequent Dell Validated Design for Computer Vision.

    In this technical white paper, we describe our engineering lab testing and validation project that combines two technologies from our market-leading partners in the video management ecosystem, Milestone Systems XProtect VMS and the XProtect VMS Plug-in from Tiger Surveillance. We demonstrate how the Dell Validated Design for Computer Vision is a flexible and robust platform for hosting a wide variety of VMS, CV, and related workflow enhancements that meet the needs of large and small organizations from a wide variety of public sector and commercial use cases.