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

Rawashdeh Nathir, Hazaveh Paniz, Altarazi Safwan

Management and Production Engineering Review

2023

Vol. 14, No. 1

61--71

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.

Fast and Efficient Colour Inspection Using Sets of Ellipsoidal Regions

Huber-Mörk R., Löhndorf M., Heiss-Czedik D., Mayer K., Penz H., Soukup D.

Machine Graphics and Vision

2009

Vol. 18, No. 3

345-361

This paper addresses inspection of d-dimensional data using ellipsoidal decision reg: for problems in automated visual inspection. For the special case of d = 3, the proposed met is researched in detail with respect to efficient real-time operation and compact storage of ellipi parameters. In order to reduce storage requirements, a method based on clustering the parame describing the shapes of ellipsoids is proposed. Results are presented for colour images used in quality analysis step in banknote printing. Additionally, estimations of computational effort and storage requirements are provided.