Abstract
Data acquisition and storage form the basis for information-driven decision-making processes and therefore play a central role in transparent production and quality assurance. Due to the complexity and variety of products, quality inspections are not necessarily automated and require expert knowledge of inspectors when performed manually. However, there is a lack of tools for digital data acquisition - especially for manual visual inspections. For such human-centered visual inspections, this paper presents a solution to support the inspector by a mobile web app, whose core contains an annotation function with defect classes and descriptions for process documentation.
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