Video Analytics Solution
A real-time, AI-based video analytics solution deployed on any platform from edge to cloud
Megh Computing’s Video Analytics Solution (VAS) product line accelerates video analytics pipelines to generate actionable business intelligence from streaming video for smart factories, smart cities, smart buildings, and other segments. Built on our best-in-class real-time analytics platform with AI+ acceleration using GPUs or FPGAs, VAS offers the highest performance, most scalability, greatest flexibility, and best vendor choice for system integrators and independent software vendors.
See the VAS product line.
Use cases
VAS addresses critical use-cases throughout the retail supply chain.
Situational awareness
Detect intrusion and loitering by people or vehicles
Manage inventory
Track and decrease inventory loss and distortion
Occupancy and people counting
Track in/out totals, traffic flow, peak hours, heatmaps, and more
Worker and public safety
Monitor social distancing and PPE compliance
Custom analytics
Develop actionable insights on any aspect of operations
Video analytics pipeline with Nimble Framework
VAS implements the complete video analytics pipeline (consisting of the ingest, transform, and infer phases in combination with the analytics and visualization phases) using our scalable and flexible Nimble Framework, which supports plugins for different accelerators.
Deployment configurations
Enable real-time analytics at the edge, on premises, or private or public cloud.
VAS product line
VAS 100
For CPU-only deployments on AWS or edge server
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 servers
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
VAS SDK
VAS is also available as a SDK supporting DLE and other pipeline stages as a service.
Product comparison
| Product | Server | Accelerator cards | Cameras per system |
|---|---|---|---|
|
|
Edge gateways |
n/a |
<10 |
|
|
Edge servers |
Low profile |
Up to 20 |
|
|
Enterprise servers |
Low/high profile |
Up to 50 |
|
|
Enterprise servers |
Low/high profile |
Up to 150 |
VAS solution briefs
VAS case studies
VAS presentation with social distancing demo
Hear from Megh founder and CEO PK Gupta at the Intel FPGA Technology Day 2021 Conference.
Technical papers
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.
Computing on Dell EMC PowerEdge Servers
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.
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.