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High-end components that conduct complicated tasks automatically are a partof modern industrial systems. However, in order for these parts to function atthe desired level, they need to be maintained by qualified experts. Solutionsbased on Augmented Reality (AR) have been established with the goal of raisingproduction rates and quality while lowering maintenance costs. With theintroduction of two unique interaction interfaces based on wearable targets andhuman face orientation, we are proposing hands-free advanced interactivesolutions in this study with the goal of reducing the bias towards certainusers. Using traditional devices in real time, a comparison investigation usingalternative interaction interfaces is conducted. The suggested solutions aresupported by various AI powered methods such as novel gravity-map based motionadjustment that is made possible by predictive deep models that reduce the biasof traditional hand- or finger-based interaction interfaces

AI-Powered Interfaces for Extended Reality to support Remote Maintenance