Gauge inspection tools are usually used for the visual and geometrical tolerances verification, using paper tutorials for guidance through the inspection steps and paper to register the results of the performed inspection. This practice may be misleading to the quality control management, not providing an effective and error-prone quality control operation. This paper proposes a cost-effective solution for supporting the realization of gauge inspection control procedures by using emergent technologies, namely Human-Machine interfaces and virtual reality, to guide more efficiently the operators during the execution of their tasks, and using Internet of Things (IoT) and cloud technologies to dynamically collect and store the inspection results. The proposed solution was deployed in an industrial production facility, with the achieved results showing its efficiency and robustness, as well as a very positive feedback from the operators. This solution also contributes for a faster and more efficient execution of inspection tests, particularly reducing the setup time required to change the product reference being inspected. ; This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020. ; info:eu-repo/semantics/publishedVersion
Digitization of Gauge inspection control procedure
01.01.2021
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC: | 629 |
Springer Verlag | 2018
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