Deep Neural Networks for Computer Vision in Edge Devices is a hot topic. New frameworks, accelerators, techniques, products, and solutions are available almost every day, and it is not easy to understand what is needed to get started. Resources-constrained edge devices not only require a working algorithm, but are required to choose the right technology and workflow to meet requirements. In this session, we will provide a gentle introduction of the terminology, the techniques for the most popular algorithms, and the typical project workflow to provide you with the required technical background to speed up your start into this new world of possibilities.
- How to get started with neural networks for computer vision on edge devices
- Understand the workflow of developing and optimizing a computer vision application
- Learn about pitfalls when targeting edge devices
- Get an overview of current and upcoming solutions targeted at edge devices
- The new processor from NXP with integrated NPU