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Mobile web app for the digitization and annotation of manual visual inspection tasks
Citation Link: https://doi.org/10.15480/882.13716
Publikationstyp
Conference Paper
Date Issued
2024
Sprache
English
TORE-DOI
Journal
Volume
126
Start Page
993
End Page
998
Citation
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2023
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
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.
Subjects
Data Annotation
Defect Detection
Digitalization
Industry 4.0
Mobile Web App
Visual Inspection
DDC Class
658: General Managament
620: Engineering
Publication version
publishedVersion
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Name
1-s2.0-S2212827124009454-main.pdf
Type
Main Article
Size
798.09 KB
Format
Adobe PDF