Enabling Technologies

“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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“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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“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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“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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“High-end Multi-camera Technology, Applications and Examples,” a Presentation from XIMEA

Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Summit 2018, Videos, XIMEA /

Max Larin, CEO of XIMEA, presents the “High-end Multi-camera Technology, Applications and Examples” tutorial at the May 2018 Embedded Vision Summit. For OEMs and system integrators, many of today’s applications in VR/AR/MR, ADAS, measurement and automation require multiple coordinated high performance cameras. Current generic components are not optimized to achieve the desired traits in terms

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“Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA,” a Presentation from Lattice Semiconductor

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Abdullah Raouf, Senior Marketing Manager at Lattice Semiconductor, presents the “Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA” tutorial at the May 2018 Embedded Vision Summit. The demand for always-on intelligence is rapidly increasing in various applications. You can find cameras that are always watching for anomalies in

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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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