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“Introduction to Optics for Embedded Vision,” a Presentation from Edmund Optics

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Jessica Gehlhar, Vision Solutions Engineer at Edmund Optics, presents the "Introduction to Optics for Embedded Vision" tutorial at the May 2018 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics. She explains key parameters and concepts […]

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“Overcoming Bias in Computer Vision – A Business Imperative,” a Presentation from Entrepreneur Will Byrne

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Entrepreneur Will Byrne presents the “Overcoming Bias in Computer Vision – A Business Imperative,” tutorial at the May 2018 Embedded Vision Summit. The rollout of computer vision applications – even by some of the world’s most influential tech companies – have been marred by issues of bias against specific groups. Overcoming bias in AI-enabled products

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“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm

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Sahil Bansal, Senior Director of Product Management at Qualcomm, presents the “Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms” tutorial at the May 2018 Embedded Vision Summit. Advancements in machine learning are making it possible to equip devices such as connected cameras, robots, drones and smart home solutions with improved on-device vision

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“Energy-efficient Processors Enable the Era of Intelligent Devices,” a Presentation from NovuMind

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Ren Wu, Founder and CEO of NovuMind, presents the “Energy-efficient Processors Enable the Era of Intelligent Devices” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence is making waves and headlines. New algorithms, applications and companies are emerging fast. Deep-learning-based systems, trained with massive amounts of data using supercomputers, are more capable than ever

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May 2018 Embedded Vision Summit Vision Entrepreneurs’ Panel

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Nik Gagvani, President of CheckVideo, moderates the Vision Entrepreneurs’ Panel at the May 2018 Embedded Vision Summit. Other panelists include László Kishonti, CEO of AImotive; Radha Basu, CEO of iMerit; and Gary Bradski, CTO and Co-founder of Arraiy.com, and CEO and Founder of OpenCV.org. What can we learn from leaders of successful vision-based start-ups? The

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“Implementing Image Pyramids Efficiently in Software,” a Presentation from Polymorphic Technologies

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Michael Stewart, Proprietor of Polymorphic Technologies, presents the “Implementing Image Pyramids Efficiently in Software,” tutorial at the May 2018 Embedded Vision Summit. An image pyramid is a series of images, derived from a single original image, wherein each successive image is at a lower resolution than its predecessors. Image pyramids are widely used in computer

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“NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI,” a Presentation from NovuMind

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Miao (Mike) Li, Vice President of IC Engineering at NovuMind, presents the “NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI” tutorial at the May 2018 Embedded Vision Summit. Deep convolutional neural networks (DCNNs) are driving explosive growth of the artificial intelligence industry. Effective performance, energy efficiency and accuracy are all significant challenges in

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“The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI,” a Presentation from Horizon Robotics

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Kai Yu, Founder and CEO of Horizon Robotics, presents the “Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI” tutorial at the May 2018 Embedded Vision Summit. As the nature of computation changes from logic to artificial intelligence, there’s a revolution happening at the edge. A new type of processor is required for this post-Moore’s-law

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“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

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Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a

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“Reduce Risk in Computer Vision Design: Focus on the User,” a Presentation from Twisthink

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Paul Duckworth, Director of Engineering at Twisthink, presents the “Reduce Risk in Computer Vision Design: Focus on the User” tutorial at the May 2018 Embedded Vision Summit. Companies across a wide range of industries are considering ways to apply computer vision to innovate their products and services. With the vast potential of this exciting technology,

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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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