Vision-based Online Defect Detection of Polymeric Film via Structural Quality Metrics

• Autorzy: Rawashdeh Nathir , Hazaveh Paniz , Altarazi Safwan

Identyfikatory

DOI

10.24425/mper.2023.145366

• Języki publikacji: EN

Abstrakty

EN

Nondestructive and contactless online approaches for detecting defects in polymer films are of significant interest in manufacturing. This paper develops vision-based quality metrics for detecting the defects of width consistency, film edge straightness, and specks in a polymeric film production process. The three metrics are calculated from an online low-cost grayscale camera positioned over the moving film before the final collection roller and can be imple mented in real-time to monitor the film manufacturing for process and quality control. The objective metrics are calibrated to correlate with an expert ranking of test samples, and results show that they can be used to detect defects and measure the quality of polymer films with satisfactory accuracy.

Słowa kluczowe

EN

industrial inspection; quality control; defect detection; polymer film; vision

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: Vol. 14, No. 1
• Strony: 61--71
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr., zdj.

Twórcy

autor

Rawashdeh Nathir

• Michigan Technological University, College of Computing1400 Townsend Drive, Houghton, MI 49931, USA
• German Jordanian University, School of Applied Technical Sciences, Jordan

• https://orcid.org/0000-0002-9118-9317

autor

Hazaveh Paniz

• Michigan Technological University, College of Computing, USA

autor

Altarazi Safwan

• German Jordanian University, School of Applied Technical Sciences, Jordan

• https://orcid.org/0000-0002-0299-012X

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