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.
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.
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 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.
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.
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.
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.
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.
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.