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A new platform aims to provide deep learning analytics to video streams produced from smart city applications. Nvidia’s platform, Metropolis, takes data captured by cameras deployed in government properties, public transit systems, commercial buildings, and roadways, and then runs it through AI to help cities monitor video instantaneously. According to Nvidia – it’s  the foundation of the AI City—an edge-to-cloud platform that can turn anonymized video into valuable insights.

The idea is that cities are overflowed with video data and need a system that can focus attention on what matters most and where immediate action is needed. By Nvidia’s calculations, smart cities will have nearly 1 billion cameras in operation by 2020, creating a massive market opportunity around deep learning for video-enabled IoT devices.

From a technical perspective, Metropolis is a combination of multiple Nvidia products operating on a unified architecture.  

“Deep learning is enabling powerful intelligent video analytics that turn anonymized video into real-time valuable insights, enhancing safety and improving lives,” Deepu Talla ,an execuitve in Nvidia, told “The Nvidia Metropolis platform enables customers to put AI behind every video stream to create smarter cities.”

According to, Nvidia is no longer just a graphics card manufacturer but also a supplier of video processing and machine learning chips that are starting to become benchmarks in a number of growing industries. For example, in industrial drones they’re helping to automatically recognize and track assets on large work sites, and in self-driving cars they’re taking a “watch and learn” approach to figuring out how traffic works.