Summit

“Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem,” a Presentation from Twisthink

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Ryan Johnson, lead engineer at Twisthink, presents the “Optimize Performance: Start Your Algorithm Development With the Imaging Subsystem” tutorial at the May 2018 Embedded Vision Summit. Image sensor and algorithm performance are rapidly increasing, and software and hardware development tools are making embedded vision systems easier to develop. Even with these advancements, optimizing vision-based detection […]

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“Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques,” a Presentation from Xperi

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Peter Corcoran, co-founder of FotoNation (now a core business unit of Xperi) and lead principle investigator and director of C3Imaging (a research partnership between Xperi and the National University of Ireland, Galway), presents the “Getting More from Your Datasets: Data Augmentation, Annotation and Generative Techniques” tutorial at the May 2018 Embedded Vision Summit. Deep learning

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“Deep Quantization for Energy Efficient Inference at the Edge,” a Presentation from Lattice Semiconductor

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Hoon Choi, Senior Director of Design Engineering at Lattice Semiconductor, presents the “Deep Quantization for Energy Efficient Inference at the Edge” tutorial at the May 2018 Embedded Vision Summit. Intelligence at the edge is different from intelligence in the cloud in terms of requirements for energy, cost, accuracy and latency. Due to limits on battery

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“Real-time Calibration for Stereo Cameras Using Machine Learning,” a Presentation from Lucid VR

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Sheldon Fernandes, Senior Software and Algorithms Engineer at Lucid VR, presents the “Real-time Calibration for Stereo Cameras Using Machine Learning” tutorial at the May 2018 Embedded Vision Summit. Calibration involves capturing raw data and processing it to get useful information about a camera’s properties. Calibration is essential to ensure that a camera’s output is as

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“Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision,” a Keynote Presentation from Dr. Takeo Kanade

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Dr. Takeo Kanade, U.A. and Helen Whitaker Professor at Carnegie Mellon University, presents the “Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In this keynote presentation, Dr. Kanade shares his experiences and lessons learned in developing a vast range of

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“Even Faster CNNs: Exploring the New Class of Winograd Algorithms,” a Presentation from Arm

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Gian Marco Iodice, Senior Software Engineer in the Machine Learning Group at Arm, presents the “Even Faster CNNs: Exploring the New Class of Winograd Algorithms” tutorial at the May 2018 Embedded Vision Summit. Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Deeper

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“A Physics-based Approach to Removing Shadows and Shading in Real Time,” a Presentation from Tandent Vision Science

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Bruce Maxwell, Director of Research at Tandent Vision Science, presents the “A Physics-based Approach to Removing Shadows and Shading in Real Time” tutorial at the May 2018 Embedded Vision Summit. Shadows cast on ground surfaces can create false features and modify the color and appearance of real features, masking important information used by autonomous vehicles,

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“Generative Sensing: Reliable Recognition from Unreliable Sensor Data,” a Presentation from Arizona State University

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

Lina Karam, Professor and Computer Engineering Director at Arizona State University, presents the “Generative Sensing: Reliable Recognition from Unreliable Sensor Data” tutorial at the May 2018 Embedded Vision Summit. While deep neural networks (DNNs) perform on par with – or better than – humans on pristine high-resolution images, DNN performance is significantly worse than human

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“Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms,” a Presentation from Microsoft

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Anirudh Koul, Senior Data Scientist, and Jin Yamamoto, Principal Program Manager, both from Microsoft, present the “Infusing Visual Understanding in Cloud and Edge Solutions Using State Of-the-Art Microsoft Algorithms” tutorial at the May 2018 Embedded Vision Summit. Microsoft offers its state-of-the-art computer vision algorithms, used internally in several products, through the Cognitive Services cloud APIs.

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“A New Generation of Camera Modules: A Novel Approach and Its Benefits for Embedded Systems,” a Presentation from Allied Vision Technologies

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Paul Maria Zalewski, Product Line Manager at Allied Vision Technologies, presents the “A New Generation of Camera Modules: A Novel Approach and Its Benefits for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. Embedded vision systems have typically relied on low-cost image sensor modules with a MIPI CSI-2 interface. Now, machine vision camera

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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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