Video Analytics Solution (VAS)

Overview

Based on our advanced real-time analytics platform, Megh Computing’s Video Analytics Solution (VAS) addresses critical use-cases throughout the retail supply chain.

Use case Description Business value
Fraud prevention Fraud prevention due to miss-scans at self checkout counters Decrease shrink at POS
Inventory intelligence Decrease inventory distortion due to fraud or misplacement Reduce inventory loss
Smart Surveillance Enhance access control systems with video surveillance Create a safe and secure retail environment

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 6X better performance/$ compared to GPU-based video analytics solutions.

VAS is supported on the following platforms:

  • Servers:
    • Dell PowerEdge R740 and R640
    • HPE ProLiant DL380 Gen10
  • FPGAs:
    • Intel Programmable Accelerator Cards with Intel Arria10 and Stratix 10 FPGAs
    • Xilinx Alveo U200 and U250 Data Center Accelerator Cards

Release notes

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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 on Xilinx platform

Megh/Xilinx Video Analytics solution brief.

VAS on Intel platform

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

This 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 Video Analytics with Hewlett
Packard Enterprise, Intel, and Megh Computing

This 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.

Presentation at Spark+AI Summit 2019

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Demo video

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