DEPEND ON OPEN ANALYTICS
to deliver actionable insights and provide total control
Achieve true operational reliability with VAS, our customizable, cross-platform, real-time intelligent video analytics solution.
INTRODUCING VAS: VIDEO ANALYTICS SOLUTION
VAS is built on Megh’s Open Analytics platform and delivers on the promise of AI, for even your most complex video analytics use cases.
VAS Suite — Actionable insights for a wide range of use cases, with enterprise-class performance and optimized TCO. VAS for Smart Buildings, VAS for Smart Warehouses, and other preconfigured packages available.
VAS SDK — Total control with operationally reliable, high-performance intelligent video analytics for custom use cases.

Situational awareness
Detect intrusion and loitering by people or vehicles
Worker and public safety
Monitor social distancing and PPE compliance
Manage inventory
Track and decrease inventory loss and distortion
Custom analytics
Develop actionable insights on any aspect of operations
Occupancy and people counting
Track in/out totals, traffic flow, peak hours, heatmaps, and more
Actionable insights for a wide range of use cases based on operationally-reliable accuracy
Turn any IP camera into a smart camera, with optimized AI for every video stream and real-time performance that takes your business to the next level.
Smart cities
Improve people and traffic management, and other operations, across an entire locality
Smart factories
Improve worker safety and process efficiences at manufacturing sites
Smart warehouses
Classify, count, and track items to improve inventory management and prevent loss
Smart buildings
Enhance public safety and improve operational efficiencies
Targeting smart places
Automate the use of video as a signal to create actionable insights for operators of smart places
Most flexible
- Swap or retrain/redeploy AI models
- Customize analytics filters by camera stream
- Standalone or integrated with existing VMS systems for advanced features
Most scalable
- Start with CPUs and scale as needed to more efficient hardware architectures using GPUs, FPGAs, and SOCs
- Easily deployable deep learning models to support simple to complex use cases
Highest performing
- DLE inference accelerator on FPGAs delivers best-in-class throughput
- Lowest deterministic latency processing to support real-time use cases
Open vendor choice
- OEM platforms (Dell, HPE, Lenovo, IBM)
- GPUs (Nvidia) or FPGAs (Intel, Xilinx)
- Cloud hosts (AWS, Azure)
A platform optimized for real-world complexity and performance
VAS makes it easy for end users and developers to leverage the benefits of innovative AI technology.

See our VAS Suite demonstration of smart building use cases, including configuring analytics using the dashboard.

Hear Chuck Harold (“The Security Guy”) in conversation with Megh’s Bill Fitzhenry about VAS from ISC West.
Learn more about
Recent blog posts

REST and WebSocket APIs in Nimble
The Nimble application framework Nimble is a fast and lightweight service-based framework for implementing video analytics pipelines targeted for CPU,

Megh VAS SDK
Megh’s fully customizable, cross-platform Video Analytics Solution (VAS) is available as the VAS SDK toolkit and VAS Suite of products.

Open Analytics: A new approach to intelligent video analytics
The demand for edge analytics is increasing rapidly with the explosion of streaming data from sensors, cameras, and other sources.
Recent news posts

Megh joins Bittware’s partner program to simplify FPGA deployment
Megh Computing has joined Bittware’s partner program, designed to simplify and streamline the time-consuming, costly, and resource-intensive process of deploying

Megh launches VAS for Smart Buildings
Megh Computing Introduces an Innovative Intelligent Video AnalyticsSolution for Smart Buildings VAS for Smart Buildings provides security and surveillance for

Megh’s Open Analytics platform provides innovative approach to intelligent video analytics
MEGH COMPUTING’S OPEN ANALYTICS PLATFORM PROVIDES INNOVATIVE APPROACH TO INTELLIGENT VIDEO ANALYTICS Business users, integrators, and developers can easily integrate