Digital Assistance for Quality Assurance - Augmenting Workspaces Using Deep Learning for Tracking Near-Symmetrical Objects

This course aims to teach learners how to utilize digital assistance for quality assurance by augmenting workspaces using deep learning for tracking near-symmetrical objects. The course focuses on providing skills in applied metrology for near-symmetrical objects, such as LEGO bricks, through situated visual measurement guides. The teaching method involves presenting a two-step approach: locating and orienting the object based on its shape, and disambiguating the object's rotational symmetry based on small visual features using deep learning approaches. The intended audience for this course includes professionals in manufacturing or quality assurance seeking to enhance their measurement processes using digital assistance and deep learning techniques.