Overview
Product video
Megh VAS for Smart Buildings is built on its Real Time Streaming Analytics Platform with AI+ acceleration that can be deployed on any platform from edge to cloud. Megh provides its AI based, fully customizable, cross-platform Video Analytics Solution (VAS) that uses data from cameras and sensors to reduce security risks and improve operational efficiencies for smart cities, smart factories, and smart buildings creating business value for enterprise customers.
VAS is powered by the Nimble Application Framework which allows customization across the entire Analytics pipeline for use-case specific accuracy. Engineered to seamlessly leverage hardware acceleration across CPU, GPU, FPGA and SOC platforms, the framework makes VAS a truly high-performance, real-time analytics solution.
Megh has two product offerings:
- VAS Suite solution for Service Providers supporting use cases for public safety and worker safety with the VAS Portal providing a single pane of glass for managing multiple sites.
- VAS SDK toolkit for System Integrators and Enterprises providing them total control of the pipeline for building custom applications.
VAS automates the use of video as a signal for real-time actionable insights. As the demand for edge analytics is increasing rapidly with the explosion of streaming data from sensors, cameras, and other sources connected by 5G and other access technologies, Enterprises want to extract intelligence from these data streams to gain actionable insights and create business value. VAS provides enterprises with this capability with a highly performant, flexible and scalable solution. It supports various use cases including public safety in smart buildings, inventory tracking in manufacturing, video surveillance for security and worker safety in manufacturing and logistics. The VAS can scale to hundreds of remote IP cameras and process the streaming video in real time displaying the violations, alarms, and real-time statistics in web dashboards.
Highlights
- Performant, scalable, flexible video analytics solution for wireless and wired edge-to-cloud deployments
- Can be deployed across platforms with CPUs, GPUs, and/or FPGAs
- Megh Model Zoo contains pre-trained deep learning models for a variety of use cases
Details
Typical total price
$0.78/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
c5.4xlarge Recommended | $0.10 | $0.68 | $0.78 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
- Install software per instructions in Release Notes (https://docs.megh.com/0.14/vas-suite/intro )
- Connect camera per instructions
- Launch application
Resources
Vendor resources
Support
Vendor support
We have several How-tos along with Release Notes on our website. For additional support, please visit support.megh.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.