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 an Open Analytics platform that delivers on the promise of AI, for even your most complex video analytics use cases.
VAS Suite
Megh’s web-based VAS Suite, with Concierge Support, creates ACTIONABLE INSIGHTS from video analytics that extend your capabilities while reducing costs.
VAS SDK
For enterprises, system integrators (SIs), OEMs, and developers, VAS SDK enables TOTAL CONTROL to optimize video analytics pipelines and integrate highly customizable AI into your applications or products.
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 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 flows, safety, services, and other operations across an entire locality
Smart factories
Enhance flexibility and efficiency of design, procurement, manufacturing, and shipping
Smart offices
Strengthen collaboration, automate tasks, and enable other workplace optimizations
Smart buildings
Automate heating, ventilation, lighting, security, maintenance, and other systems
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 higher-end solutions using GPUs or FPGAs
- 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 VAS Suite demo of public safety use cases
Experience VAS Suite performing intrusion detection, loiter detection, people occupancy, people counting, and physical distancing.
Featured resources
VAS brief
Analytics Solution
VAS case study
Smart factories
White paper
real-time analytics of streaming data
Recent blog posts
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.
From platform to product?
Over the past 20 years, we have seen the growth of “platform economies of scale,” which have led to a
Recent news posts
Future Technologies and Megh Computing announce strategic partnership to deliver intelligent video analytics for smart places
Future Technologies and Megh Computing have partnered to bring industry-leading Open Analytics computer vision solutions to industrial, government, service provider,
MultiTech and Megh collaborate to provide video analytics over private LTE
Multi-Tech Systems, Inc., a leading global supplier of Internet of Things (IoT) devices and services, has joined forces with Megh
Megh co-authors AWS post on private 4G/5G and video analytics for industrial sites
Megh’s Bradley Odell co-authored an AWS blog post showcasing what can be achieved with AWS Snowball Edge leveraging Megh VAS