Edge AI and Vision Alliance

“Can You See What I See? The Power of Deep Learning,” a Presentation from StreamLogic

Scott Thibault, President and Founder of StreamLogic, presents the “Can You See What I See? The Power of Deep Learning” tutorial at the September 2020 Embedded Vision Summit. It’s an exciting time to work in computer vision, mainly due to the technological advances in the area of deep learning. This talk is an introduction to […]

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“Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality,” a Presentation from Strategy Analytics

Mark Fitzgerald, Director of Autonomous Vehicle Service at Strategy Analytics, presents the “Embedded Vision in ADAS and Autonomous Vehicles: Navigating the New Reality” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Fitzgerald presents market forecasts for vision technologies in automotive advanced driver assist systems (ADAS), and explores the applications and industry forces

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“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio

Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders.

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Edge AI and Vision Insights: February 10, 2021 Edition

LETTER FROM THE EDITOR Dear Colleague, The Alliance is now accepting applications for the sixth annual Vision Tank start-up competition. Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision or visual AI? Do you want to raise awareness of your company and products with vision industry experts,

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

Gareth Cross, Technical Lead for State Estimation at Skydio, presents the “Introduction to Simultaneous Localization and Mapping (SLAM)” tutorial at the September 2020 Embedded Vision Summit. This talk provides an introduction to the fundamentals of simultaneous localization and mapping (SLAM). Cross provides foundational knowledge; viewers are not expected to have any prerequisite experience in the

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Khronos Releases SYCL 2020 Specification

Major update includes dozens of new features and closer alignment with ISO C++. Significant SYCL adoption in embedded, desktop, and HPC markets. Beaverton, OR – February 9, 2021 – Today, The Khronos® Group, an open consortium of industry-leading companies creating advanced interoperability standards, announces the ratification and public release of the SYCL™ 2020 final specification—the

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have

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“New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks,” a Presentation from Santa Clara University

Tokunbo Ogunfunmi, Professor of Electrical Engineering and Director of the Signal Processing Research Laboratory at Santa Clara University, presents the “New Methods for Implementation of 2-D Convolution for Convolutional Neural Networks” tutorial at the September 2020 Embedded Vision Summit. The increasing usage of convolutional neural networks (CNNs) in various applications on mobile and embedded devices

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“Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations,” a Presentation from Samsung

Nathan Levy, Project Leader at Samsung, presents the “Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations” tutorial at the September 2020 Embedded Vision Summit. In the race to power efficiency for neural network processing, optimizing memory use to reduce data traffic is critical. Many processors have a small local memory (typically SRAM) used

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“Image-Based Deep Learning for Manufacturing Fault Condition Detection,” a Presentation from Samsung

Jake Lee, Principal Engineer and Head of the Machine Learning Group at Samsung, presents the “Image-Based Deep Learning for Manufacturing Fault Condition Detection” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Lee explores applying deep learning to analyzing manufacturing parameter data to detect fault conditions. The manufacturing parameter data contains multivariate time

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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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