Viewing and identifying objects with Raspberry PI and Lobe

In this session we will learn about Image Classification and run it on low powered devices.

We will review the different processes that are required for achieving the creation and execution of a computer vision project running in low powered computers such as Raspberry PI and using open-source and free Microsoft tools such as Lobe, .Net and others.

Speaker: Matías Iacono is a system engineer with +20 years of experience. He has been recognized as Microsoft MVP 9 times, published 3 books and dozens of magazine articles about Microsoft technology stack. He also maintains different open-source applications and tools for developers, and he is host of a YouTube channel where he teaches computer science topics. He has moved around different southamerican countries creating tech communities. Currently he lives in New Zealand where he participates as speaker of community events such as STEM Fest and others.

Who is it aimed at?
Developers, Solution architects and Technology managers.
Software developers looking to learn more about Computer Vision and Machine Learning.

Why Should I attend?
• Learn how to build a ML simple application from scratch.
• Understand the technology with practical use cases and examples.
• Understand what it is needed when creating an Image Classification model.
• Acquire knowledge about free offered Microsoft tools.

Here are some useful resources for this session:
https://www.lobe.ai/
https://www.raspberrypi.org/
https://www.tensorflow.org/