Actionable business insights from streaming data
On the best-in-class real-time analytics platform with AI+ acceleration using FPGAs from edge to cloud
VAS: VIDEO ANALYTICS SOLUTION
Introducing Megh’s real-time Video Analytics Solution for system integrators (SI) and independent software vendors (ISV):
- Targets end users in retail, manufacturing, logistics, security, and other segments
- Accelerates various use cases to deliver the best performance efficiencies
- Includes the highest performing deep learning engine for object detection and image classification
- Supports worker safety to help businesses reopen and manage COVID-19 response

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Enhance public safety
Monitor social distancing, body temperature, and PPE compliance
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Manage inventory
Decrease inventory distorting due to misplacement
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Control access
Enhance access control systems with smart surveillance
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Prevent fraud
Prevent loss from mis-scans and theft
Capture business intelligence from streaming video
Turn any IP camera into a smart camera and add AI-enabled analytics
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Highest performing
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FPGAs deliver on average 5x greater throughput than GPUs for best price/channel
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Lowest deterministic latency processing to support real-time use cases
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Most scalable
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Scale-up to scale-out configuration for small to large systems
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Easily deployable deep learning models to support simple to complex use cases
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Most flexible
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Different deployment options for edge-to-cloud configurations
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Standalone or integrated with existing VMS systems for advanced features
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Best vendor choice
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OEM platforms (Dell, HPE, Lenovo, IBM)
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FPGAs (Intel, Xilinx)
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Cloud hosts (AWS, Azure)
Built on our best-of-class real-time analytics platform
VAS brings the benefits of the Megh Platform to system integrators (SI) and independent software vendors (ISV) by accelerating their video analytics products

Watch the overview
VAS introduction and demo
Recent blog posts

Megh’s Deep Learning Engine usages
Video analytics use cases Enterprise users are increasingly interested in implementing complex video analytics use cases that provide business value

Implementing a CPU+FPGA-based real-time video analytics pipeline
This post is a follow-up to “Implementing a CPU-based real-time video analytics pipeline,” where we discussed a CPU-based end-to-end video

Megh’s platform strategy — Part 2
In part 1 (Megh’s platform strategy), we talked about the increasingly rapid explosion of data (from the Web, sensors, IOT
Recent news posts

AWS, CMU’s Living Edge Lab, and Megh Computing collaborate on intelligent video analytics for private 4G/5G networks
Megh Computing is collaborating with Amazon Web Services (AWS), Carnegie Mellon University’s Living Edge Lab and Federated Wireless to provide our video analytics

Megh Computing Selected by 5G Open Innovation Lab to Help Drive Early Adoption and Innovation of 5G Technology
NEWS RELEASE Megh Computing Selected by 5G Open Innovation Lab to Help Drive Early Adoption and Innovation of 5G Technology

Megh in the news: Hillsboro startup snags $2.5M led by Vulcan Capital
By Malia Spencer – Staff Reporter, Portland Business Journal A Hillsboro startup founded by ex-Intel employees secured $2.5 million of