IoT Validation Element Renderer

AI-enabled Operators Assistance through AR

Recently, new technologies are entering the industrial market, such as Augmented Reality (AR). In these systems, the employee is guided step-by-step by means of projected instructions. The current systems are static: all operators receive similar instructions. However, there is a great need to make such systems adaptive and self-learning using AI: Dynamic customization of operator guidance based on skill level, performance, errors, instantaneous operator capacity and operator knowledge and feedback to improve effectivity of instructions. To address these issues, it is necessary to get insight in the right parameters.

The aim of the Experiment is to work towards objective data acquisition from dynamic effects in the manufacturing process, for instance learning curve, fatigue, and operator feedback.

EC Project AI REGIO AI REGIO | DIH-driven EXPERIMENTS Trend Artificial Intelligence Validation Type Use Case