OpenCV for High-Performance, Low-Power Vision Applications on Snapdragon


Date:  Wednesday, May 22

Start Time: 1:30 pm

End Time: 2:00 pm

For decades, the OpenCV software library has been popular for developing computer vision applications. However, developers have found it challenging to create efficient implementations of their OpenCV applications on processors optimized for edge applications, like the Qualcomm Snapdragon family. As part of its comprehensive support for computer vision application developers, Qualcomm provides a variety of tools to enable developers to take full advantage of the heterogeneous computing resources in the Snapdragon processors. In this talk, we introduce a new element of Qualcomm’s computer vision tools suite: a version of OpenCV optimized for Snapdragon platforms, which allows developers to leverage and port their existing OpenCV-based applications seamlessly to Snapdragon platforms. Supporting OpenCV v4.x and later releases, this implementation contains unique Qualcomm-specific accelerations of OpenCV and OpenCV extension APIs. Join us to learn how this library enables developers to leverage existing OpenCV code to achieve superior performance and power savings on Snapdragon platforms.

Track

Session Speakers

  • Xin Zhong is the Computer Vision Product Manager at Qualcomm Technologies. He has over 25 years of experience in the semiconductor industry, with a diverse background in engineering, product management and finance. During his 15+ years at Qualcomm, Xin has worked on projects in computer vision, artificial intelligence, machine learning, computational photography, graphics and speech. He has a record of solving customer problems via innovation, driving technical advancements on many fronts. Xin was Founder and CEO of 12 Sigma Technologies, a pioneering medical imaging AI company that was named one of the 50 Smartest Companies in 2019 by MIT Technology Review. He also served as Director of Technology Planning at Xiaomi, with responsibility for industry partnerships and technology sourcing. Xin received a bachelor’s degree from Tsinghua University, a master’s degree in Electrical Engineering from the University of Michigan and an MBA from Carnegie Mellon University’s Tepper School of Business.


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OpenCV for High-Performance, Low-Power Vision Applications on Snapdragon