Tools for Creating Next-Gen Computer Vision Apps on Snapdragon


Date:  Wednesday, May 18 (Main Conference Day 2)

Start Time: 10:50 am

End Time: 11:20 am

The Snapdragon Mobile Platform powers the world’s best smartphones, XR headsets, PCs, wearables, cars and IoT products. Thanks to Snapdragon, these products feature powerful computer vision technologies that you can tap into to build next-gen apps. Inside Snapdragon is a hardware engine dedicated to computer vision–the Engine for Visual Analytics (EVA). EVA hardware acceleration gives developers access to high-performance, low-power computer vision functions to enhance apps that rely on advanced camera or video processing. The EVA includes a motion processing unit, a feature descriptor unit, a depth estimation unit, a geometric correction unit and an object detection unit. These blocks power high-level functions such as electronic image stabilization, multi-frame HDR, face detection and real-time bokeh. Deep-dive into EVA’s Software Developer Kit (SDK) and available APIs, such as Optical Flow and Depth from Stereo, and explore how these features can be integrated into your apps.

Track

Session Speakers

  • Judd Heape is VP of Product Management for Camera, Computer Vision and Video Technology at Qualcomm Technologies. Inc. Judd is responsible for roadmaps of these technologies across all Qualcomm businesses. Judd has nearly 30 years of experience in the semiconductor industry, starting in design engineering and later moving to product management. Prior to Qualcomm, he held positions at Texas Instruments, Altera and Apical Imaging (acquired by ARM in 2016). At Apical Imaging, Judd held VP positions for Engineering and Product Applications, which led to the licensing of Apical’s imaging and computer vision IP to seven of the top-10 semiconductor companies, including Qualcomm. Judd has worked on expatriate assignments in the UK and Japan, has five issued U.S. patents and has authored one worldwide JEDEC standard. He holds a bachelor’s degree in electrical engineering from the Georgia Institute of Technology.


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Tools for Creating Next-Gen Computer Vision Apps on Snapdragon