Video Analytics Solution

Megh Computing’s Video Analytics Solution (VAS) accelerates video analytics pipelines to generate actionable business intelligence from streaming video for retail, manufacturing, logistics, security, and other segments. Built on our best-in-class real-time analytics platform with AI+acceleration using FPGAs, VAS offers the highest performance, most scalability, greatest flexibility, and best vendor choice for system integrators and independent software vendors.

Use cases

VAS addresses critical use-cases throughout the retail supply chain.

Enhance public safety

Monitor social distancing, body temperature, and PPE compliance

Control access

Enhance access control systems with smart surveillance

Manage inventory

Decrease inventory distorting due to misplacement

Prevent fraud

Prevent loss from mis-scans and employee theft

Video analytics pipeline

VAS implements the complete video analytics pipeline (consisting of the ingest, transform, and infer phases) inline in the FPGA, resulting in higher performance efficiencies and lower latencies. It delivers 4X better performance/$ compared to GPU-based video analytics solutions.

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Deployment configurations

Enable real-time analytics at the edge, on premises, or private or public cloud.

VAS is available in three configurations:

  • VAS-300, for small-scale deployment using edge servers with low-profile FPGA accelerator cards, to support approximately 10 cameras per server
  • VAS-500, for medium-scale deployments using 1U or 2U RMS (rack mount servers) with single or multiple low-profile or high-profile FPGA accelerator cards, to support up to 10s of cameras per server
  • VAS-700, for large-scale deployment using 2U RMS with multiple high-profile FPGA accelerator cards, to support up to 100s of cameras per server
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Find out how to accelerate your Real Time Analytics workloads with Spark Streaming framework and BigDL libraries in the Cloud using FPGA accelerators
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VAS solution brief

VAS solution brief

Social distancing demo

VAS supports social distancing applications at scale. See the demo.

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Technical papers

The following 11-page Dell-EMC technical white paper evaluates a video analytics pipeline with deep learning inference using Megh’s VAS and Intel Programmable Acceleration Card (PAC) FPGAs on Dell EMC PowerEdge R740/R740xd servers.

Real Time Streaming Analytics with Megh
Computing on Dell EMC PowerEdge Servers

The following 3-page HPE technical white paper discusses how customers can achieve dramatically increased performance and reduced TCO by running the Megh Computing real-time streaming video analytics platform on the HPE ProLiant DL380 Gen10 server with Intel Arria 10 GX FPGAs compared to a configuration without FPGAs.

Real-Time Streaming Video Analytics with Hewlett
Packard Enterprise, Intel, and Megh Computing

Intel partnership

In the following video, see how Intel and Megh have partnered in developing low-latency analytics using AI with Intel FPGAs.

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