Ready, Steady, Stream: Introducing Intel® Distribution of OpenVINO™ toolkit Deep Learning Streamer

The Intel® Distribution of OpenVINO™ toolkit Deep Learning Streamer (DL Streamer) is an analytics framework for creating and deploying complex media analytics pipelines across Intel® architecture from edge to cloud. It enables:

  • Optimal pipeline interoperability with a familiar developer experience built using the GStreamer multimedia framework
  • Flexible streaming analytics
  • Optimized inferencing across Intel® architecture—CPUs, Intel® Processor Graphics Architecture, Intel® Movidius™ VPUs, and more

In this on-demand session, Intel deep learning experts Neena Maldikar, Zoe Cayetano, and Mikhail Nikolskii will:

  • Provide a comprehensive overview of the new Intel® Distribution of OpenVINO™ toolkit DL Streamer
  • Showcase what it can do via several demos
  • Provide instructions and tips for how to use this new feature

Watch it today.

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Neena Maldikar, AI Product Manager, Intel Corporation

Neena has a master’s degree in Computer Science from the Portland State University. She has been working at Intel for past 7 years. Before joining the Video Analytics team, she worked on developing libraries for contextual awareness and implemented use cases to make PC smarter.

Zoe Cayetano, AI Product Manager, Intel Corporation

Passionate about democratizing technology access for everyone and working on projects with outsized impact on the world, Zoe is a Product Manager for AI and IoT working on a variety of interdisciplinary business and engineering problems. Prior to Intel, she was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers that were used for crystallography, quantum materials and bioimaging. She holds Bachelor’s degrees in Applied Physics and Business. Philippines-born, she is currently based in San Francisco, California.

Mikhail Nikolskii, Senior Software Engineer, Intel Corporation

Mikhail Nikolskii is the technical lead of DL Streamer. He has worked at Intel for over 15 years on various Intel software products. Mikhail has a master’s degree in Computer Science from Moscow State University.

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Write Once and Deploy Inference across the Latest Intel® Architectures

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Optimization Best Practices to Maximize Apps with OpenVINO™ toolkit

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Ready, Steady, Stream: Introducing Intel® Distribution of OpenVINO™ toolkit Deep Learning Streamer

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OpenVINO™ Toolkit and FPGAs

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20-Minute Overviews: OpenVINO™ toolkit Essentials

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Intel® Distribution of OpenVINO™ Toolkit Overview

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Developer Tools

Intel® Distribution of OpenVINO™ toolkit

Develop applications and solutions that uses deep learning intelligence with the Intel® Distribution of OpenVINO™ toolkit. Based on convolutional neural networks (CNN),...

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