From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs

In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based computer vision applications, hands-on. We’ll cover:

• Collecting and classifying datasets
• Designing and training high-accuracy models
• Optimizing and testing your models
• Integrating and shipping with our edge device

The tutorial will feature step-by-step demonstrations of the concepts discussed. If you choose, you can follow along and perform the steps yourselves on a Raspberry Pi 4 and a smartphone. The tutorial will be co-presented by Zach Shelby, CEO and co-founder, and Daniel Situnayake, founding ML engineer, both of Edge Impulse. A question-and-answer session will follow the tutorial.