Videos

“How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World,” a Presentation from Intel

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Anders Grunnet-Jepsen, CTO and Director of Advanced Technology in the Perceptual Computing Group at Intel, presents the "How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World" tutorial at the May 2017 Embedded Vision Summit. Intel’s latest RealSense technology is specifically designed to enable highly sophisticated, low-cost, small […]

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“Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms,” a Presentation from ARM

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Roberto Mijat, Director of Software Product Management in the Business Segment Group at ARM, presents the "Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms" tutorial at the May 2017 Embedded Vision Summit. Mobile computing platforms are ubiquitous, and therefore provide an exciting vehicle for the deployment of new computer

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“Designing Scalable Embedded Vision SoCs from Day 1,” a Presentation from Synopsys

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Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the "Designing Scalable Embedded Vision SoCs from Day 1" tutorial at the May 2017 Embedded Vision Summit. Some of the most critical embedded vision design decisions are made early on and affect the design’s ultimate scalability. Will the processor architecture support the needed vision

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“Vision for All?,” a Presentation from Intel

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Jeff McVeigh, Vice President in the Software and Services Group and General Manager of visual computing products at Intel, presents the "Vision for All?" tutorial at the May 2017 Embedded Vision Summit. So, you’ve decided to incorporate visual intelligence into your device or application. Will you need a team of computer vision PhDs working for

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“This Changes Everything — Why Computer Vision Will Be Everywhere,” a Presentation from ARM

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Tim Ramsdale, General Manager of the Imaging and Vision Group at ARM, presents the "This Changes Everything — Why Computer Vision Will Be Everywhere" tutorial at the May 2017 Embedded Vision Summit. Computer vision, or teaching machines to see, will be revolutionary – it will change everything. Beyond the obvious markets where it is having

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“Moving CNNs from Academic Theory to Embedded Reality,” a Presentation from Synopsys

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Tom Michiels, System Architect for Embedded Vision Processors at Synopsys, presents the "Moving CNNs from Academic Theory to Embedded Reality" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you will learn to recognize and avoid the pitfalls of moving from an academic CNN/deep learning graph to a commercial embedded vision design. You

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“The OpenVX Computer Vision Library Standard for Portable, Efficient Code,” a Presentation from Cadence

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Frank Brill, Design Engineering Director at Cadence and Chairperson of the Khronos Group's OpenVX Working Group, presents the "OpenVX Computer Vision Library Standard for Portable, Efficient Code" tutorial at the May 2017 Embedded Vision Summit. OpenVX is an industry-standard computer vision API designed for efficient implementation on a variety of embedded platforms. The API incorporates

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“The Vision Acceleration API Landscape: Options and Trade-offs,” a Presentation from the Khronos Group

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Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the "Vision Acceleration API Landscape: Options and Trade-offs" tutorial at the May 2017 Embedded Vision Summit. The landscape of APIs for accelerating vision and neural network software using specialized processors continues to rapidly evolve. Many industry-standard APIs, such as OpenCL and OpenVX,

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“Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts,” a Presentation from Xilinx

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Vinod Kathail, Distinguished Engineer and leader of the Embedded Vision team at Xilinx, presents the "Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts" tutorial at the May 2017 Embedded Vision Summit. Machine learning research is advancing daily with new network architectures, making it difficult to choose the best CNN algorithm

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“Deep Visual Understanding from Deep Learning,” a Keynote Presentation from Professor Jitendra Malik

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Jitendra Malik, Arthur J. Chick Professor and Chair of the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, presents the "Deep Visual Understanding from Deep Learning" tutorial at the May 2017 Embedded Vision Summit. Deep learning and neural networks coupled with high-performance computing have led to remarkable advances in computer

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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