We will develop a small portion of a "furniture preview app". A user will have an option to download a hypothetical furniture manufacturer app that will allow an overview of the entire stock of that manufacturer. Without leaving the comfort of their home, the users, with the power of AR Kit, will be able to open their camera and drag and drop a piece of furniture into their home and get a realistic overview of how a new chair, for example, would look like in their kitchen. Application will demonstrate how to integrate 3D models into an app, calculation of the depth of field, shadows, camera permissions, and movement.

iOS uses Machine learning for years already and developers can make the time to market very short now. The Vision is one of many of ML tools and it has been created as a framework for image analysis. With Vision, developers can create apps reading texts, bar/qr codes, detecting faces, count, track and classify objects, etc… This session will show you how to create the app that understands the positions of hand visible through the iPhone camera. In addition, it introduces the common way, how to incorporate Vision in your future apps.

‍

With the 10.3 release of our iOS PDF SDK, we’re shipping SwiftUI in production. This is a big milestone for us, and an even more interesting one, as our product still supports iOS 12. In this talk I'll explain how we built this feature while also keep things working for iOS 12, and why we picked SwiftUI for it.

Full stack developers hate to switch programming languages, tools, frameworks. It's a lost of time. What if you could use your front end favourite language - Swift - to build your backend resources, such as API, or any type of cloud-based processing ? And what if I add you don't even need to deploy a virtual machine to do so ? All serverless. During this session, you will learn WHY and HOW you can deploy your Swift code on AWS Lambda.