Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System
The adhesion quality is one of the critical factors affecting EIFS quality. The traditional visual inspection method is time-consuming and labor-intensive work because limited inspectors have to check all insulation units when they are installed. Thus, this study proposes a CV-based automatic adhesi...
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/125 |
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| author | Mingyun Kang Sebeen Yoon Taehoon Kim |
| author_facet | Mingyun Kang Sebeen Yoon Taehoon Kim |
| author_sort | Mingyun Kang |
| collection | DOAJ |
| description | The adhesion quality is one of the critical factors affecting EIFS quality. The traditional visual inspection method is time-consuming and labor-intensive work because limited inspectors have to check all insulation units when they are installed. Thus, this study proposes a CV-based automatic adhesion quality-inspection model for EIFS that can quickly and quantitatively inspect the shape and amount of adhesive. In the case study, the proposed models accurately determined the adhesion quality with measurement accuracies of 90.58%, 95.28%, and 93.58% in ribbon width, dab diameter, and adhesive area, respectively, and a root mean-square error of 6.9 mm in dab distance. The results of this study can achieve automation of inspection for EIFS. |
| format | Article |
| id | doaj-art-552611fc031f425aa3ea84cd46afe216 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-552611fc031f425aa3ea84cd46afe2162025-08-20T02:36:18ZengMDPI AGApplied Sciences2076-34172024-12-0115112510.3390/app15010125Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing SystemMingyun Kang0Sebeen Yoon1Taehoon Kim2Architectural Engineering Program, School of Architecture, Seoul National University of Science and Technology, 232 Gongneung-ro, Gongneung-dong, Nowon-gu, Seoul 01811, Republic of KoreaArchitectural Engineering Program, School of Architecture, Seoul National University of Science and Technology, 232 Gongneung-ro, Gongneung-dong, Nowon-gu, Seoul 01811, Republic of KoreaArchitectural Engineering Program, School of Architecture, Seoul National University of Science and Technology, 232 Gongneung-ro, Gongneung-dong, Nowon-gu, Seoul 01811, Republic of KoreaThe adhesion quality is one of the critical factors affecting EIFS quality. The traditional visual inspection method is time-consuming and labor-intensive work because limited inspectors have to check all insulation units when they are installed. Thus, this study proposes a CV-based automatic adhesion quality-inspection model for EIFS that can quickly and quantitatively inspect the shape and amount of adhesive. In the case study, the proposed models accurately determined the adhesion quality with measurement accuracies of 90.58%, 95.28%, and 93.58% in ribbon width, dab diameter, and adhesive area, respectively, and a root mean-square error of 6.9 mm in dab distance. The results of this study can achieve automation of inspection for EIFS.https://www.mdpi.com/2076-3417/15/1/125exterior insulation and finishing systempolygon with holecomputer visioninstance segmentationquality management |
| spellingShingle | Mingyun Kang Sebeen Yoon Taehoon Kim Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System Applied Sciences exterior insulation and finishing system polygon with hole computer vision instance segmentation quality management |
| title | Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System |
| title_full | Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System |
| title_fullStr | Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System |
| title_full_unstemmed | Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System |
| title_short | Computer Vision-Based Adhesion Quality Inspection Model for Exterior Insulation and Finishing System |
| title_sort | computer vision based adhesion quality inspection model for exterior insulation and finishing system |
| topic | exterior insulation and finishing system polygon with hole computer vision instance segmentation quality management |
| url | https://www.mdpi.com/2076-3417/15/1/125 |
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