“Vision AI At the Edge: From Zero to Deployment Using Low-Code Development,” a Presentation from NVIDIA

Carlos Garcia-Sierra, Product Manager for DeepStream at NVIDIA, presents the “Vision AI At the Edge: From Zero to Deployment Using Low-Code Development” tutorial on behalf of Alvin Clark, Product Marketing Manager at NVIDIA, at the May 2022 Embedded Vision Summit.

Development of vision AI applications for the edge presents complex challenges beyond model inference, often requiring end-to-end acceleration and optimization, spanning I/O to post-processing. Today, for organizations to overcome these challenges and launch successful vision AI products, they need expertise across many domains: machine learning, computer vision, video compression, embedded software and I/O interfaces.

In this presentation, you’ll learn how the NVIDIA DeepStream SDK helps organizations overcome these challenges and accelerate their time to market by abstracting away the necessary low-level details, enabling them to focus on the development of the unique functionality of the end application. This tutorial session will teach you how to create, test and deploy a fully optimized and accelerated vision AI application on a Jetson device in minutes using Graph Composer, a low-code design tool for DeepStream.

See here for a PDF of the slides.

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.

Contact

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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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