Accented visualization by augmented reality for smart manufacturing aplications

Effective application of Augmented Reality user interfaces is one of the challenging trends of industrial cyber-physical systems development and implementation. Despite reach functionality of modern AR devices (like goggles, head mounted displays or tablets) the problem of their comfortable and productive use is not completely solved yet. To cover this gap, it is proposed in this paper to implement a new paradigm of “accented visualization” that allows adapting additional data presented by AR device according to the user's current interest, attention and focus. To provide such context driven functionality there was developed intelligent software based on eye tracking and capturing the user's focus in ontology as a knowledge base. Probation and testing of the proposed approach present 89 % of the solution efficiency.

I. Introduction

Augmented reality (AR) is a promising technology that can significantly extend the capabilities of computer user interfaces. Various AR devices (goggles, head mounted displays or widely spread tablets) provide supplement reality with additional information that can improve the process of decision making and reduce possible failures. Implementation of AR can utilize modern technologies of computer vision and object recognition to identify the situation and provide context-dependent hints useful to improve the efficiency of operations.