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AI City Partners to use NVIDIA Deep Learning for Real-Time Insights to Make Communities Safer and Smarter, Improve Traffic and Resources

May 9, 2017
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Paving the way for the creation of AI cities, NVIDIA unveiled the NVIDIA Metropolis™ intelligent video analytics platform at GTC 2017 May 8-11. GTC is the largest and most important event of the year for GPU developers. The global GTC event series offer valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars. NVIDIA Metropolis makes cities safer and smarter by applying deep learning to video streams for applications such as public safety, traffic management and resource optimization.

Deep learning is enabling powerful intelligent video analytics that turn anonymized video into real-time valuable insights, enhancing safety and improving lives. The NVIDIA Metropolis platform enables customers to put AI behind every video stream to create smarter cities. – Deepu Talla, Vice President and General Manager of the Tegra business at NVIDIA

Growing AI City Partner Support

More than 50 NVIDIA AI city partner companies are already providing products and applications that use deep learning on GPUs, many of which are on display this week at the GPU Technology Conference. NVIDIA AI city partners can help customers reveal insights and take real-time action using deep learning on NVIDIA GPUs. Among them are industry leaders such as Avigilon, Dahua, Hanwha Techwin, Hikvision and Milestone.

City management customers using Milestone’s upcoming Video Processing Server with NVIDIA Metropolis are positioned to take the lead in the adoption of deep learning for video-enabled IoT devices. Unleashing the value of this metadata will provide intelligent insights to take smart action. – Bjørn Skou Eilertsen, Chief Technology Officer at Milestone Systems

Video Is World’s Largest Data Source

Video is the world’s largest generator of data, captured by hundreds of millions of cameras deployed in areas such as government property, public transit, commercial buildings and roadways. By 2020, the cumulative number of cameras is expected to rise to approximately 1 billion.

Humans currently monitor only a fraction of captured video, with most stored on disks for later review. Initial efforts at real-time video analytics techniques have proved far less reliable than human interpretation. Intelligent video analytics solves this challenge by using deep learning in cameras, on-premises video recorders and servers, and in the cloud to monitor video instantaneously with accuracy and scalability.

Metropolis spans multiple NVIDIA products that operate on a unified architecture. High-performance deep learning inferencing happens at the edge with the NVIDIA Jetson™ embedded computing platform, and through servers and data centers with NVIDIA® Tesla® GPU accelerators. Rich data visualization is powered by NVIDIA Quadro® professional graphics. And the entire edge-to-cloud platform is supported by NVIDIA’s rich software development kits, including JetPack, DeepStream and TensorRT™.

Learn more on the NVIDIA website.

 

 

 

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The Internet has been one of the most important inventions of modern life and has provided a foundation for innovations that we now rely on. Interestingly, this level of reliance on the Internet has only come about within the last 10 years with the introduction of the full screen smart phone. Indeed, standards can move slowly, even once they have seen full adoption it still takes time for innovation. But once innovation starts, it is exponential in growth, and to support this growth you must have a solid foundational standard.

Mike Sherwood Milestone Systems Americas Director of Technical Operations

The world is changing quickly — and with change comes opportunity. The power of multiple partnerships offers customers a fully integrated solution. With close co-development and teamwork, we provide countless solutions for integrated video management.

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My goal is moving from Hartford as a Safe City to helping it become a Smart City. With the Milestone open platform we are moving beyond crime to improving the city’s economy, bringing in more business via marketing intelligence, traffic management, better snow removal, etc.

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Milestone sees the artificial intelligence and machine learning technologies as creating hyper growth markets by enabling IoT software companies to aggregate large numbers of connected devices and integrate them to form a new smart systems automation market. Milestone is prioritizing our technology roadmaps to capture these hyper growth opportunities. Several innovative technology investment areas will be delivered over the coming years.

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