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“Introduction to Simultaneous Localization and Mapping (SLAM),” a Presentation from Gareth Cross

Independent game developer (and former technical lead of state estimation at Skydio) Gareth Cross presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the May 2021 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross aims to provide foundational knowledge, and viewers are not […]

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“Building the Eyes of a Vision System: From Photons to Bits,” a Presentation from GoPro

Jon Stern, Director of Optical Systems at GoPro, presents the “Building the Eyes of a Vision System: From Photons to Bits” tutorial at the May 2021 Embedded Vision Summit. In this tutorial, Stern presents a guide to the multidisciplinary science of building the eyes of a vision system. CMOS image sensors have been instrumental in

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“Efficient Deep Learning for 3D Point Cloud Understanding,” a Presentation from Facebook

Bichen Wu, Research Scientist at Facebook Reality Labs, presents the “Efficient Deep Learning for 3D Point Cloud Understanding” tutorial at the May 2021 Embedded Vision Summit. Understanding the 3D environment is a crucial computer vision capability required by a growing set of applications such as autonomous driving, AR/VR and AIoT. 3D visual information, captured by

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GML and FRAMOS Join Forces to Develop Life-Ready AI for 3D Industrial Vision

Munich, October 4th, 2021 – FRAMOS, a leading global imaging provider, and GrAI Matter Labs (GML), a pioneer of brain-inspired ultra-low latency computing solutions, will unite at VISION 2021 to create Life-Ready AI for Industrial Vision Platforms. This project is based on FRAMOS’s D435e Industrial Depth Camera and GML’s GrAI VIP (Vision Inference Processor) and

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“Modern Machine Vision from Basics to Advanced Deep Learning,” a Presentation from Deep Netts

Zoran Sevarac, Associate Professor at the University of Belgrade and Co-founder and CEO of Deep Netts, presents the “Modern Machine Vision from Basics to Advanced Deep Learning” tutorial at the May 2021 Embedded Vision Summit. In this talk, Sevarac introduces the fundamentals of deep learning for image understanding. He begins by explaining the basics of

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GML and EZ-WHEEL Partner to Bring a Unique AI-powered Wheel Drive to Autonomous Mobile Robots

October 1, 2021–PARIS–(BUSINESS WIRE)–GrAI Matter Labs (GML), a pioneer of brain-inspired computing solutions, announced today that it has entered into a partnership with ez-Wheel, a French company specializing in autonomous electric wheels, to develop an AI powered Wheel Drive for Autonomous Mobile Robots (AMRs) that will be available in 2023. The award winning ez-Wheel solution

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Free Webinar Explores How to Develop Intelligent AI

On December 9, 2021 at 9 am PT (noon ET), Rob Telson, Vice President of Worldwide Sales, and Todd Vierra, Director of Customer Engagement, both of BrainChip, will present the free hour webinar “Developing Intelligent AI Everywhere with BrainChip’s Akida,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration

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“Intelligent Vision System for Grains,” a Presentation from CSEM

Andrea Dunbar, Sector Head for Edge AI and Vision at CSEM, presents the “Intelligent Vision System for Grains” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Dunbar discusses the challenges and lessons learned in implementing a custom intelligent vision system to detect types of grain and measure flow rate and morphology of

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FPGA-based Accelerator for Embedded Vision with MIPI and New MIPI Cameras with ToF, SWIR and Pregius Sensors

September 30, 2021 – Vision Components has developed an FPGA-based accelerator for edge preprocessing of image data in embedded vision projects with MIPI camera modules. The hardware accelerator with multiple MIPI-CSI-2 inputs and outputs enables complex image processing and image data analysis. The compact board can merge data from several MIPI cameras. It manages complex

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“Super Resolution on Resource Constrained Devices,” a Presentation from Collabora

Marcus Edel, Machine Learning Engineer, and Aaron Boxer, Senior Software Developer, both of Collabora, present the “Super Resolution on Resource Constrained Devices” tutorial at the May 2021 Embedded Vision Summit. Internet video streaming has recently experienced tremendous growth, but delivery quality remains critically dependent on network bandwidth. To mitigate bandwidth limitations, most video is compressed,

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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