Pulin Desai, Vision Product Marketing Director at Cadence, presents the "Highly Efficient, Scalable Vision and AI Processors IP for the Edge" tutorial at the May 2019 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based vision and AI processor family, and illustrates how easily vision algorithms (e.g., SLAM, 3D capture) and AI […]
Yury Gorbachev, Principal Engineer at Intel, presents the "How to Get the Best Deep Learning Performance with the OpenVINO Toolkit" tutorial at the May 2019 Embedded Vision Summit. Tremendous recent progress in deep learning and computer vision algorithms has made it possible to create innovative applications that were not previously feasible. However, moving from academic
William “Bill” Santana Li, Co-founder, Chairman and CEO of Knightscope, talks with Vin Ratford, Executive Director of the Embedded Vision Alliance, for the “Visual AI Enables Autonomous Security” interview at the May 2019 Embedded Vision Summit. Knightscope, a physical security technologies company based in Silicon Valley, develops and sells a line of autonomous robots that
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Minje Park, Deep Learning R&D Engineer at Intel, presents the "Object Trackers: Approaches and Applications" tutorial at the May 2019 Embedded Vision Summit. Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module.
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Daniel Casner, formerly a systems engineer at Anki, presents the "Selecting and Exploiting Sensors for Sensor Fusion in Consumer Robots" tutorial at the May 2019 Embedded Vision Summit. How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors is
Gian Marco Iodice, Staff Compute Performance Software Engineer at Arm, presents the "Performance Analysis for Optimizing Embedded Deep Learning Inference Software" tutorial at the May 2019 Embedded Vision Summit. Deep learning on embedded devices is currently enjoying significant success in a number of vision applications—particularly smartphones, where increasingly prevalent AI cameras are able to enhance
Ian Riches, Executive Director for Global Automotive Practice at Strategy Analytics, presents the "Automotive Vision Systems— Seeing the Way Forward" tutorial at the May 2019 Embedded Vision Summit. It was not long ago that cameras were a rarity on all but luxury cars. In 2018, as many automotive cameras were shipped as were vehicles! Riches'
László Kishonti, CEO of AImotive, presents the "Shifts in the Automated Driving Industry" tutorial at the May 2019 Embedded Vision Summit. 2018 will have a lasting effect on the self-driving industry, as key stakeholders have turned from the unattainable goal of full autonomy by 2021 to more realistic development and productization roadmaps. This will in
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Ronak Shah, Director of AI Marketing Strategy at Intel's Programmable Solutions Group, presents the "AI+: Combining AI and Other Critical Functions Using Intel FPGAs" tutorial at the May 2019 Embedded Vision Summit. AI is increasingly being deployed in vision applications, and most of these applications require other functionality in addition to AI. For example, a
John Williams, CTO and co-founder of Kudan, presents the "Commercial Grade SLAM Frameworks for Indoor and Outdoor Applications" tutorial at the May 2019 Embedded Vision Summit. SLAM (simultaneous localization and mapping) is an essential technology for any device that requires an understanding of its location and orientation in the physical world. Kudan is the only
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