Summit 2018

“Pilot AI Vision Framework: From Doorbells to Defense,” a Presentation from Pilot AI

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Jonathan Su, CEO of Pilot AI, presents the “Pilot AI Vision Framework: From Doorbells to Defense” tutorial at the May 2018 Embedded Vision Summit. Pilot AI’s Vision Framework has enabled real-time detection, classification and tracking in thousands of devices, from consumer applications to federal contracts. Though diverse in end-user application, these use cases all share […]

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“Optimizing Your System Software and BSP for Embedded Vision and AI,” a Presentation from Thundersoft

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Daniel Sun, Vice President of the Intelligent Vision Business Unit at Thundersoft, presents the “Optimizing Your System Software and BSP for Embedded Vision and AI” tutorial at the May 2018 Embedded Vision Summit. While computer vision and AI algorithms tend to get the most attention, many other software components can have an equally important impact

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“Deep Learning in MATLAB: From Concept to Optimized Embedded Code,” a Presentation from MathWorks

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Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, present the “Deep Learning in MATLAB: From Concept to Optimized Embedded Code” tutorial at the May 2018 Embedded Vision Summit. In this presentation, you’ll learn how to adopt MATLAB to design deep learning based vision applications and re-target

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“Using Vision to Transform Retail,” a Presentation from IBM

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Sumit Gupta, Vice President of AI, Machine Learning and HPC at IBM, presents the “Using Vision to Transform Retail” tutorial at the May 2018 Embedded Vision Summit. This talk explores how recent advances in deep learning-based computer vision have fueled new opportunities in retail. Using case studies based on deployed systems, Gupta explores how deep

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“Embedding Programmable DNNs in Low-Power SoCs,” a Presentation from Xperi

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Steve Teig, Chief Technology Officer at Xperi, presents the “Embedding Programmable DNNs in Low-Power SoCs” tutorial at the May 2018 Embedded Vision Summit. This talk presents the latest generation of FotoNation’s (a core business unit of Xperi) Image Processing Unit (IPU)—an embedded AI enabled image processing engine that can be customized and adapted to suit

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“New Memory-centric Architecture Needed for AI,” a Presentation from Crossbar

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Sylvain Dubois, Vice President of Strategic Marketing & Business Development at Crossbar, presents the “New Memory-centric Architecture Needed for AI” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence (AI) will not replace the need for humans any time soon, but it will have a profound impact on everyday lives, transforming industries from transportation

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“Creating a Computationally Efficient Embedded CNN Face Recognizer,” a Presentation from PathPartner Technology

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Praveen G.B., Technical Lead at PathPartner Technology, presents the “Creating a Computationally Efficient Embedded CNN Face Recognizer” tutorial at the May 2018 Embedded Vision Summit. Face recognition systems have made great progress thanks to availability of data, deep learning algorithms and better image sensors. Face recognition systems should be tolerant of variations in illumination, pose

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“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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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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