A Framework for Real-Time Gestural Recognition and Augmented Reality for Industrial Applications
Winnie Torres, Lilian Santos, Gustavo Melo, Andressa Oliveira, Pedro Nascimento, Geovane Carvalho, Tácito Neves, Allan Martins, Ícaro Araújo
TL;DR
This paper introduces a web-based system combining augmented reality and gesture recognition for safer and more efficient industrial operations.
Contribution
A hardware-agnostic framework for integrating AR and gesture recognition in industrial settings is proposed.
Findings
The system was validated using Google Glass, showing practical viability in industrial operations.
Optimized software techniques improved gesture recognition accuracy under various conditions.
The approach supports intuitive interaction with industrial equipment control systems.
Abstract
In recent decades, technological advancements have transformed the industry, highlighting the efficiency of automation and safety. The integration of augmented reality (AR) and gesture recognition has emerged as an innovative approach to create interactive environments for industrial equipment. Gesture recognition enhances AR applications by allowing intuitive interactions. This study presents a web-based architecture for the integration of AR and gesture recognition, designed to interact with industrial equipment. Emphasizing hardware-agnostic compatibility, the proposed structure offers an intuitive interaction with equipment control systems through natural gestures. Experimental validation, conducted using Google Glass, demonstrated the practical viability and potential of this approach in industrial operations. The development focused on optimizing the system’s software and…
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Taxonomy
TopicsCoastal and Marine Dynamics · Coastal and Marine Management