Decision Support System for Dimensional Inspection of Extruded Rubber Profiles

Since small and medium enterprises (SME) generate the most of gross domestic product and employment opportunities in developed countries, further progress of the Industry 4.0 strongly relies on the development of dedicated solutions for SMEs-specific problems. Dimensional inspection of extruded rubb...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.112605-112616
Main Authors: Vukicevic, Arso M., Djapan, Marko, Todorovic, Petar, Eric, Milan, Stefanovic, Miladin, Macuzic, Ivan
Format: Article
Language:English
Subjects:
Algorithms
Augmentation
Automobile industry
Calibration
Cameras
Companies
computer vision
Decision support systems
dimensional inspection
Engineering drawings
Extrusion
Image acquisition
image analysis
Image segmentation
Industries
Inspection
Quality 4.0
Rubber
rubber profiles
Small & medium sized enterprises-SME
Small business
Technical drawing
Workflow
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Summary:Since small and medium enterprises (SME) generate the most of gross domestic product and employment opportunities in developed countries, further progress of the Industry 4.0 strongly relies on the development of dedicated solutions for SMEs-specific problems. Dimensional inspection of extruded rubber profiles represents one such an open issue in the automotive industry, which currently requires a manual measurement and comparison of profiles' cross section with the corresponding technical drawings. Starting from the requirements acquired from the industry practice, this study proposes a novel solution that automates all steps during the inspection process allowing an operator to make the final decision with respect to his observations. The proposed workflow includes the following steps: 1) image acquisition, 2) system calibration, 3) profile segmentation, 4) landmark registration and 5) augmentation of the referent technical drawing over the acquired image. The overall solution was developed by using a single camera and dedicated algorithms for profile detection and augmentation of the referent technical drawing. The extensive validation showed that the solution increased operators' productivity and reliability by a considerable margin (~6%), while it remains affordable, user-friendly and generic.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2934561