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“Vision for All?,” a Presentation from Intel

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

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

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

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

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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Cloud-versus-Edge and Centralized-versus-Distributed: Evaluating Vision Processing Alternatives

Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed …

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

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

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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“A Multi-purpose Vision Processor for Embedded Systems,” a Presentation from Allied Vision

Michael Melle, Sales Development Manager at Allied Vision, and Felix Nikolaus, Firmware Designer at Allied Vision, presents the "A Multi-purpose Vision Processor for Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. This presentation gives an overview of an innovative vision processor that delivers the superior image quality of industrial cameras while enabling the …

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“A Shallow Dive into Training Deep Neural Networks,” a Presentation from DeepScale

Sammy Sidhu, Senior Engineer at DeepScale, presents the "A Shallow Dive into Training Deep Neural Networks" tutorial at the May 2017 Embedded Vision Summit. In this talk, Sidhu introduces the basics of training deep neural network models for vision tasks. He begins by explaining fundamental training concepts and terms, including loss functions and gradients. He …

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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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