Metal Surface Crack Detection using Machine Learning

SUJITH V; KAMALI KAUTHIKA A; VIGNESH N; SATHEESH N P; NANDHAKUMAR S

Metal Surface Crack Detection using Machine Learning

October 2023

Vol-9, Issue-5

Paper ID: 21780

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Machine Learning

Keywords

Metal surface cracks Metal surface crack detection Methodology Scopes Machine Learning Review Applications Impacts

Abstract

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.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	SUJITH V	Bannari Amman Institute of Technology
2	KAMALI KAUTHIKA A	Bannari Amman Institute of Technology
3	VIGNESH N	Bannari Amman Institute of Technology
4	SATHEESH N P	Bannari Amman Institute of Technology
5	NANDHAKUMAR S	Bannari Amman Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

V, SUJITH, A, KAMALI KAUTHIKA, N, VIGNESH, P, SATHEESH N, & S, NANDHAKUMAR (2023). Metal Surface Crack Detection using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1645-1651.

MLA Style

V, SUJITH, et al. "Metal Surface Crack Detection using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1645-1651.

IEEE Style

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, 2023.

Vancouver Style

V SUJITH, A KAMALI KAUTHIKA, N VIGNESH, P SATHEESH N, S NANDHAKUMAR. Metal Surface Crack Detection using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1645-1651.

Harvard Style

V, SUJITH, A, KAMALI KAUTHIKA, N, VIGNESH, P, SATHEESH N, & S, NANDHAKUMAR (2023) 'Metal Surface Crack Detection using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1645-1651.

Chicago Style

V, SUJITH, et al. "Metal Surface Crack Detection using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1645-1651.

Turabian Style

V, SUJITH, et al. "Metal Surface Crack Detection using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1645-1651.