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Title: :  Metal Surface Crack Detection using Machine Learning
PaperId: :  21780
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21780
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SUJITH VBannari Amman Institute of Technology
KAMALI KAUTHIKA ABannari Amman Institute of Technology
VIGNESH NBannari Amman Institute of Technology
SATHEESH N PBannari Amman Institute of Technology
NANDHAKUMAR SBannari Amman Institute of Technology

Abstract

Machine Learning
Metal surface cracks, Metal surface crack detection, Methodology, Scopes,Machine Learning, Review, Applications, Impacts
The major objective of this paper is to construct a Convolutional Neural Network (CNN) to automate the detection of cracks on metal surfaces. The goal is to replace labor-intensive and prone to error manual inspection methods with a deep learning system that is accurate and efficient. The project comprises designing an appropriate CNN architecture, preparing the data, compiling a substantial number of images of metal surfaces, and training the model. Performance is assessed using F1-score, accuracy, precision, recall, and an extra testing dataset. If carried out properly, this should shorten inspection times, boost security, and improve industrial maintenance and infrastructure safety using computer vision.

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IJARIIE SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. "Metal Surface Crack Detection using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1645-1651
MLA SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. "Metal Surface Crack Detection using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1645-1651.
APA SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, & NANDHAKUMAR S. (2023). Metal Surface Crack Detection using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1645-1651.
Chicago SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. "Metal Surface Crack Detection using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1645-1651.
Oxford SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. 'Metal Surface Crack Detection using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1645-1651. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Metal_Surface_Crack_Detection_using_Machine_Learning_ijariie21780.pdf (Accessed : 16 October 2023).
Harvard SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. (2023) 'Metal Surface Crack Detection using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1645-1651IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Metal_Surface_Crack_Detection_using_Machine_Learning_ijariie21780.pdf (Accessed : 16 October 2023)
IEEE SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S, "Metal Surface Crack Detection using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1645-1651, Sep-Oct 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/Metal_Surface_Crack_Detection_using_Machine_Learning_ijariie21780.pdf [Accessed : 16 October 2023].
Turabian SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. "Metal Surface Crack Detection using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 (16 October 2023).
Vancouver SUJITH V, KAMALI KAUTHIKA A, VIGNESH N, SATHEESH N P, and NANDHAKUMAR S. Metal Surface Crack Detection using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 16 October 2023]; 9(5) : 1645-1651. Available from: http://ijariie.com/AdminUploadPdf/Metal_Surface_Crack_Detection_using_Machine_Learning_ijariie21780.pdf
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