High-end components that conduct complicated tasks automatically are a part
of modern industrial systems. However, in order for these parts to function at
the desired level, they need to be maintained by qualified experts. Solutions
based on Augmented Reality (AR) have been established with the goal of raising
production rates and quality while lowering maintenance costs. With the
introduction of two unique interaction interfaces based on wearable targets and
human face orientation, we are proposing hands-free advanced interactive
solutions in this study with the goal of reducing the bias towards certain
users. Using traditional devices in real time, a comparison investigation using
alternative interaction interfaces is conducted. The suggested solutions are
supported by various AI powered methods such as novel gravity-map based motion
adjustment that is made possible by predictive deep models that reduce the bias
of traditional hand- or finger-based interaction interface