Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other task...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2023-01-01
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| Series: | Frattura ed Integrità Strutturale |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/3955/3755 |
| _version_ | 1797975723305074688 |
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| author | Akshansh Mishra Vijaykumar S. Jatti Nitin K. Khedkar Rahul B. Dhabale Ashwini V. Jatti |
| author_facet | Akshansh Mishra Vijaykumar S. Jatti Nitin K. Khedkar Rahul B. Dhabale Ashwini V. Jatti |
| author_sort | Akshansh Mishra |
| collection | DOAJ |
| description | A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. The results showed that the fracture cracks can be validated by testing with higher accuracy. The plot of accuracy vs. number of epochs showed the obtained accuracy score 0f 1.0 which means that 100 % of points were correctly labeled by our implemented algorithm. |
| first_indexed | 2024-04-11T04:40:01Z |
| format | Article |
| id | doaj.art-40fb358c338b49efa8e5fe647ffcf5c7 |
| institution | Directory Open Access Journal |
| issn | 1971-8993 |
| language | English |
| last_indexed | 2024-04-11T04:40:01Z |
| publishDate | 2023-01-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Frattura ed Integrità Strutturale |
| spelling | doaj.art-40fb358c338b49efa8e5fe647ffcf5c72022-12-28T07:28:54ZengGruppo Italiano FratturaFrattura ed Integrità Strutturale1971-89932023-01-01176323424510.3221/IGF-ESIS.63.1810.3221/IGF-ESIS.63.18Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining processAkshansh MishraVijaykumar S. JattiNitin K. KhedkarRahul B. DhabaleAshwini V. JattiA variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. The results showed that the fracture cracks can be validated by testing with higher accuracy. The plot of accuracy vs. number of epochs showed the obtained accuracy score 0f 1.0 which means that 100 % of points were correctly labeled by our implemented algorithm.https://www.fracturae.com/index.php/fis/article/view/3955/3755artificial intelligencecomputer visionfracture crackssegmentationu-net |
| spellingShingle | Akshansh Mishra Vijaykumar S. Jatti Nitin K. Khedkar Rahul B. Dhabale Ashwini V. Jatti Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process Frattura ed Integrità Strutturale artificial intelligence computer vision fracture cracks segmentation u-net |
| title | Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process |
| title_full | Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process |
| title_fullStr | Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process |
| title_full_unstemmed | Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process |
| title_short | Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process |
| title_sort | computer vision algorithm for the detection of fracture cracks in oil hardening non shrinking ohns die steel after machining process |
| topic | artificial intelligence computer vision fracture cracks segmentation u-net |
| url | https://www.fracturae.com/index.php/fis/article/view/3955/3755 |
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