Computer Vision: Why Now & What's Ahead

Literally, this is a look into the near future—where the convergence of hardware and software enables developers to create machines and applications that see as humans do. With edge devices, the cloud, and IoT expansion, the number of apps and solutions integrating vision capabilities is skyrocketing. And making strong vision functions available to developers is a driving Intel goal.

In this conversation, Henry Gabb discusses the state of Computer Vision with Charlotte Dryden, Senior Director of Visual Computing Solutions at Intel. Watch now to see what they have to say about:

  • Advancements made by Intel hardware and software to deliver optimal performance and power for visual computing workloads.
  • Deep learning tools that optimize trained models for object detection or facial recognition.
  • The role OpenCV* plays in giving machines more ability to mimic the human eye and how OpenCV.js makes computer vision functions accessible to web developers.
Charlotte Dryden, Senior Director, Visual Computing Solutions, Intel Corporation

Charlotte leads a Visual Computing (VC) Solutions team focused on defining and developing software products that enable VC solutions from edge to cloud. With over 20 years’ experience in technical and international business, mobile communications, semiconductors, and wireless industries, she specializes in designing software solutions that differentiate hardware capabilities. Charlotte graduated with Electrical and Biomedical Engineering degrees from Vanderbilt University, and earned her MBA with an International focus from the University of San Diego. In her free time, she enjoys traveling, yoga, running, and being outdoors.

Henry Gabb, Sr. Principal Engineer, Intel Corporation

Henry is a senior principal engineer in the Intel Software and Services Group, Developer Products Division, and is the editor of The Parallel Universe, Intel’s quarterly magazine for software innovation. He first joined Intel in 2000 to help drive parallel computing inside and outside the company. He transferred to Intel Labs in 2010 to become the program manager for various research programs in academia, including the Universal Parallel Computing Research Centers at the University of California at Berkeley and the University of Illinois at Urbana-Champaign. Prior to joining Intel, Henry was Director of Scientific Computing at the U.S. Army Engineer Research and Development Center MSRC, a Department of Defense high-performance computing facility. Henry holds a B.S. in biochemistry from Louisiana State University, an M.S. in medical informatics from the Northwestern Feinberg School of Medicine, and a PhD in molecular genetics from the University of Alabama at Birmingham School of Medicine. He has published extensively in computational life science and high-performance computing. Henry recently rejoined Intel after spending four years working on a second PhD in information science at the University of Illinois at Urbana-Champaign, where he established an expertise in applied informatics and machine learning for problems in healthcare and chemical exposure.

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