Technology Workshops
Computer Vision and Edge AI Technology Workshops and Seminars
Join us for online workshops and seminars from some of the industry's most cutting-edge companies.
Join us for online workshops and seminars from some of the industry's most cutting-edge companies.
The Embedded Vision Summit was started by developers, so we know that learning the best and newest tools in edge AI, computer vision and deep learning is vital. Get the hands-on experience from technical experts and get your important questions answered through our Technology Workshops and Seminars.
As we work on putting together the details of some exciting workshops for 2021, take a peek at what we offered during last year's Embedded Vision Summit.
2020 Technology Workshops
Using the Intel Distribution of the OpenVINO Toolkit for Deploying Accelerated Deep Learning Applications
Using DevCloud and the Deep Learning Workbench, you will explore the wide range of pre-configured examples available in the Intel DevCloud for the Edge, spanning medical, industrial, retail and education applications. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Edge AI for Retail
You will use DevCloud to run live demonstrations of benchmarking various trained models executing on specific devices using the Deep Learning Workbench. We will highlight the wide range of retail examples available in the Intel DevCloud for the Edge, including store aisle monitoring, multi-camera store traffic monitoring, and shopper gaze detection. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Using the Intel Distribution of the OpenVINO Toolkit for Deploying Accelerated Deep Learning Applications
Using DevCloud and the Deep Learning Workbench, you will explore the wide range of pre-configured examples available in the Intel DevCloud for the Edge, spanning medical, industrial, retail and education applications. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Edge AI for Retail
You will use DevCloud to run live demonstrations of benchmarking various trained models executing on specific devices using the Deep Learning Workbench. We will highlight the wide range of retail examples available in the Intel DevCloud for the Edge, including store aisle monitoring, multi-camera store traffic monitoring, and shopper gaze detection. We’ll also introduce tutorials for encrypted models, how to migrate from DevCloud to a local edge device, and DL Streamer Pipeline examples.
Edge AI for Industrial
Take a deep dive into the capabilities of Edge Insights for Industrial via a tutorial utilizing a defect detection application example. In this example, printed circuit boards (PCBs) are inspected via video for quality control, including detection of missing components and short circuits.
Beyond 2020—Vision SoCs for the Edge
This Synopsys seminar includes sessions on implementing artificial intelligence, machine learning and computer vision into SoCs, all aimed to help you develop vision chips for edge applications. You’ll deep dive into always-on, low-power applications, implementing gesture recognition, system-level architecture exploration, SLAM implementations, securing sensitive information (from algorithms to biometric data) and much more.
Edge AI for Industrial
Take a deep dive into the capabilities of Edge Insights for Industrial via a tutorial utilizing a defect detection application example. In this example, printed circuit boards (PCBs) are inspected via video for quality control, including detection of missing components and short circuits.
Beyond 2020—Vision SoCs for the Edge
This Synopsys seminar includes sessions on implementing artificial intelligence, machine learning and computer vision into SoCs, all aimed to help you develop vision chips for edge applications. You’ll deep dive into always-on, low-power applications, implementing gesture recognition, system-level architecture exploration, SLAM implementations, securing sensitive information (from algorithms to biometric data) and much more.
