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.
VAS addresses critical use-cases throughout the retail supply chain.
Enhance public safety
Monitor social distancing, body temperature, and PPE compliance
Enhance access control systems with smart surveillance
Decrease inventory distorting due to misplacement
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.
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
Share this page
VAS solution brief
Social distancing demo
VAS supports social distancing applications at scale. See the demo.
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.
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.
In the following video, see how Intel and Megh have partnered in developing low-latency analytics using AI with Intel FPGAs.