Intelligent Vision: Combining Deep Learning With Traditional Computer Vision for Performance in Vision-Based IoT Applications
In the last couple of decades we have seen tremendous advances in visual computing technologies. The smartphone revolution has led to new breakthroughs in camera processing, machine learning and computer vision, which are now finding their way into many Internet of Things applications - including self-driving cars, virtual reality headsets, connected cameras, autonomous robots and more. This talk will address how a hybrid approach combining deep learning with traditional computer vision delivers significant performance and power-efficiency improvements for IoT applications requiring vision processing. Raj Talluri, senior vice president of product management for IoT at Qualcomm Technologies, Inc. will review results from concrete implementations using this hybrid approach, and discuss the role of heterogeneous computing architectures on its implementation.
Raj Talluri serves as senior vice president of product management for Qualcomm Technologies, Inc. (QTI), where he is currently responsible for managing QTI’s Internet of Things (IoT) business. Prior to this role, he was responsible for product management of mobile computing, Sense ID 3D finger print technology and Qualcomm Snapdragon Application Processor technologies. Talluri has more than 20 years of experience spanning across business management, strategic marketing, and engineering management. He began his career at Texas Instruments (TI), working on media processing in their corporate research labs. During that time, Talluri started multiple new businesses in digital consumer electronics and wireless technologies. Talluri holds a Ph.D in electrical engineering from the University of Texas at Austin. He also holds a Master of Engineering degree from Anna University in Chennai, India and a Bachelor of Engineering from Andhra University in Waltair, India. He has published more than 35 journal articles, papers, and book chapters in many leading electrical engineering publications. He has been granted 13 U.S. patents for image processing, video compression, and media processor architectures. Talluri was chosen as No. 5 on Fast Company’s list of 100 Most Creative People in Business in 2014.