A Mixed Reality-Based Training and Guidance System for Quality Control
Year: 2025
Type: article
Abstract: The increasing demand for customized products has raised the significant challenges of increasing performance and reducing costs in the industry. Facing that demand requires operators to enhance their capabilities to cope with complexity, demanding skills, and higher cognitive levels, performance, and errors. To overcome this scenario, a virtual instructor framework is proposed to instruct operators and support procedural quality, enabled by the use of You Only Look Once (YOLO) models and by equipping the operators with Magic Leap 2 as a Head-Mounted Display (HMD). The framework relies on key modules, such as Instructor, Management, Core, Object Detection, 3D Modeling, and Storage. A use case in the automotive industry helped validate the Proof-of-concept (PoC) of the proposed framework. This framework can contribute to guiding the development of new tools supporting assembly operations in the industry.
Source: Computers
Authors: Luzia Saraiva, João Henriques, José Silva, André Barbosa, Serafim M. Oliveira
Institutions: Polytechnic Institute of Viseu, University of Coimbra
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $2,172
OpenAlex ID: W4415819538
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