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Concept for an augmented intelligence-based quality assurance of assembly tasks in global value networks

Procedia CIRP, vol. 97, pp. 423–428

Abstract

The aim of this paper is to present a conceptual approach to an augmented intelligence-based worker assistance system in manual assembly. This approach is designed to address current challenges in global value networks. We propose a self-learning multi-camera system that (1) provides augmented reality-based assembly instructions and (2) enables automated real-time in-process testing of complex manual assembly operations by using visual camera and CAD data, operational experiences and expert knowledge. As the proposed solution is targeted at enabling SMEs, cost-effectiveness is a main goal of the conceptual approach. Consequently, weak artificial intelligence is applied to realise the algorithmic chain subject to performance restricted hardware. The approach states a novelty in research and development and contributes to practical application in the field of augmented intelligence.

Authors 10

  1. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  2. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  4. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  5. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  6. Universidade de Brasília

    Affiliation as printed

    Department of Production Engineering, University of Brasília, DF 70910-900, Brazil

  7. Universidade de Brasília

    Affiliation as printed

    Department of Production Engineering, University of Brasília, DF 70910-900, Brazil

  8. Universidade de São Paulo

    Affiliation as printed

    São Paulo Institute of Physics, University of São Paulo, Av Trabalhador São-Carlense, 400, São Carlos, São Paulo, Brazil

  9. Universidade de São Paulo · Instituto de Física de São Carlos

    Affiliation as printed

    EMBRAPII Unit of Biophotonics and Instrumentation IFSC/USP, Av Trabalhador São-Carlense, 400, São Carlos, São Paulo, Brazil

  10. RWTH Aachen University

    Affiliation as printed

    Laboratory for Machine Tools and Production Engineering WZL, Chair of Production Metrology and Quality Management, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

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References 35