Computer Vision and Deep Learning: A Synergistic Approach to Success

Intel® Software Tools are purpose-built to work better together. This webinar looks at two of them as they relate to computer vision and deep learning: Intel® System Studio and the Intel® Distribution of OpenVINO™ toolkit.

In under an hour, Senior Software Engineer Shahab Layeghi demonstrates how the complement of these tools helps you easily create and build edge inference applications, and launch and debug them on a local or remote target system.

Topics covered include:

  • High-level overviews of both tools, including a brief demo of Intel System Studio operation and features
  • How to create a deep learning-based computer vision project from a sample included in the OpenVINO toolkit
  • Running and debugging the project on a remote system

Get the software
If you haven’t yet, download the tools so you can follow along. They’re free.

Additional resources

Shahab Layeghi, Senior Software Engineer, Intel Corporation

Shahab is a senior software engineer whose focus is multimedia and mobile software algorithms and applications. Joining Intel in 2013, he’s contributed to and managed several development teams and high-impact IoT and mobile development products, including Intel® System Studio and Intel® XDK.

Prior to joining Intel, Shahab gained valuable experience at companies including appMobi, Corel, and InterVideo; he developed and managed multimedia applications, audio, and video codecs.

Shahab holds a Master’s Degree in Electrical Engineering with a concentration in Signal Processing from San Jose State University.

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