Augmented Reality and Machine Learning Cooperation on Mobile

Explore the intersection of augmented reality and machine learning on mobile devices in this conference talk from GOTO Copenhagen 2018. Delve into the capabilities of modern smartphones for on-device processing, focusing on Apple's ARKit and CoreML frameworks. Learn how these technologies enable augmented reality and machine learning applications without relying on external services. Discover the implementation details that ensure correctness, performance, energy efficiency, and data privacy. Follow along as the speaker guides you through the fundamentals of AR on iOS, explains different types of AR apps, and demonstrates practical coding examples. Gain insights into machine learning on iOS, understanding Core ML, training data, and key classes. Witness a hands-on demonstration showcasing the power of these technologies working together. By the end of this talk, grasp the potential of combining AR and ML on mobile platforms and be inspired to create innovative applications leveraging these cutting-edge technologies.

Introduction
Prerequisites
Tracking
AR SceneView
Two types of AR apps
Writing the code
Pan Gesture
Machine Learning
iOS
Core ML
Training Data
CoreML
Main Classes
Handson
Why v3 is better
Demo
Recap