Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging Applications

Wednesday, May 22, 4:55 PM - 5:25 PM
Summit Track: 
Enabling Technologies
Exhibit Hall ET 2

Advances in imaging quality and features are accelerating, thanks to hybrid approaches that combine classical computer vision and deep learning algorithms and that take advantage of the powerful heterogeneous computing capability of Qualcomm Snapdragon mobile platforms. Qualcomm’s dedicated computer vision hardware accelerator, combined with the flexible deep learning capabilities of the Qualcomm AI Engine, help developers meet performance goals for the most complex on-device vision use cases with lower power consumption and processor load.
In this talk, we will review the Snapdragon heterogeneous architecture and how our dedicated computer vision processor and tools accelerate the realization of high performance, efficient imaging and vision applications.


Robert Lay

Product Management, Computer Vision and Camera, Qualcomm

Robert is a computer vision and camera product manager at Qualcomm Technologies, Inc, and has extensive background in imaging systems. He is excited to play a part of the confluence of image signal processing, computer vision and deep learning. Robert has a MSEE from Illinois Institute of Technology, and a BSEE from University of Illinois at Urbana-Champaign.

See you at the Summit! May 18-21 in Santa Clara, California!