Chancen und Risiken von Augmented Reality in der visuellen Qualitätskontrolle

  • Anna Pissenberger

Student thesis: Master's Thesis

Abstract

Visual quality control (QC) in the production environment describes the visual inspection of products for deviations from defined standards. It enables defective goods to be identified before delivery in order to prevent complaint costs and to ensure a high level of customer satisfaction. The inspection is usually carried out manually, using paper-based aids such as technical drawings, and requires a certain level of experience. In order to provide employees with the best possible support, new information-based assistance methods such as augmented reality (AR) are increasingly coming into focus. It enables the extension of our perceived reality with virtual information and displays it directly in the user's field of vision. Only a limited number of studies on visual QC are available in the literature. The exact effects of AR in this area have not yet been sufficiently investigated. In order to expand the state of knowledge in this area, potential opportunities and risks associated with the use of AR compared to traditional aids were investigated. Based on a literature review and a user study conducted in a real production environment, the focus was on performance, userfriendliness and the impact of different levels of experience. It was found that the benefits of AR in terms of performance depend on various factors. The results showed that AR assistance can achieve similar or even better results than traditional methods, namely shortening the execution time, improving the identification of deviations and facilitating their documentation. For example, the more complex the component and the lower the level of experience of the inspection personnel in quality control, the better were the results. An increase in performance was therefore observed for both experienced and, above all, inexperienced persons, thus the specialist knowledge required to carry out a quality control could be reduced. In addition, AR was found to reduce the workload and increase user-friendliness. On the other hand, limitations or limited benefits with AR result from problems with the tracking of test objects, measuring inspections due to insufficient accuracy as well as simple components and defect patterns.
Date of Award2024
Original languageGerman (Austria)
SupervisorJosef Wolfartsberger (Supervisor)

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