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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/07/a-platform-approach-to-developing-networked-visual-ai-systems-a-presentation-from-network-optix/
Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit.
Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range of applications that monitor people, facilities and other objects and environments. But creating robust, scalable applications requires more than connected cameras and algorithms. For example, applications require robust video storage management, including the ability to manage limited bandwidth and recover from hardware failures. In addition, applications often must be able to discover and interact with a variety of camera and stream types on a network.
Applications also typically require media servers and clients that can run on mobile, desktop, server and cloud. And they need the ability to integrate with a variety of software stacks and ecosystems. In this presentation, Wheeler and Luce introduce the Nx Meta intelligent video platform, which enables developers to quickly create cross-platform networked visual AI solutions that incorporate device and stream discovery and interoperability, robust storage management and extensibility. They also show application examples.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/07/a-platform-approach-to-developing-networked-visual-ai-systems-a-presentation-from-network-optix/
Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit.
Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range of applications that monitor people, facilities and other objects and environments. But creating robust, scalable applications requires more than connected cameras and algorithms. For example, applications require robust video storage management, including the ability to manage limited bandwidth and recover from hardware failures. In addition, applications often must be able to discover and interact with a variety of camera and stream types on a network.
Applications also typically require media servers and clients that can run on mobile, desktop, server and cloud. And they need the ability to integrate with a variety of software stacks and ecosystems. In this presentation, Wheeler and Luce introduce the Nx Meta intelligent video platform, which enables developers to quickly create cross-platform networked visual AI solutions that incorporate device and stream discovery and interoperability, robust storage management and extensibility. They also show application examples.
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