Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles

Edisson Pugo-Mendez; Luis Serpa-Andrade

doi:10.1007/978-3-030-80624-8_28

Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

It is proposed to develop a prototype platform based on artificial vision that allows us to identify the defects that ceramic tiles have, with which we can classify them according to their quality. The algorithms chosen to develop the platform are Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). The SVM algorithm has the characteristic that, a priori, we know the classes to which our individuals belong, it is not a grouping by similarities, but we have well-defined classes, in the treatment of images there is a high percentage of effectiveness of this algorithm. On the other hand, because of its ease of implementation, the KNN algorithm is one of the most widely used non-parametric classifiers. Its theoretical properties guarantee that its error probability is bounded by twice the Bayesian error probability, in the treatment of images with this algorithm there are high percentages of effectiveness in the classification The necessary parameters are established for the proposal based on the study of related works and the same application methodology is presented, which contemplates the pre-processing of the images, the obtaining of the descriptors, the use of the algorithms and the results obtained.

Original language	English
Title of host publication	Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
Editors	Tareq Z. Ahram, Waldemar Karwowski, Jay Kalra
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	223-229
Number of pages	7
ISBN (Print)	9783030806231
DOIs	https://doi.org/10.1007/978-3-030-80624-8_28
State	Published - 2021
Event	AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 - Virtual, Online Duration: 25 Jul 2021 → 29 Jul 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	271
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
City	Virtual, Online
Period	25/07/21 → 29/07/21

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Artificial vision
Classification of ceramic tiles
K-Nearest Neighbor
Support Vector Machine

Access to Document

10.1007/978-3-030-80624-8_28

Cite this

Pugo-Mendez, E., & Serpa-Andrade, L. (2021). Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles. In T. Z. Ahram, W. Karwowski, & J. Kalra (Eds.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 (pp. 223-229). (Lecture Notes in Networks and Systems; Vol. 271). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80624-8_28

Pugo-Mendez, Edisson ; Serpa-Andrade, Luis. / Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles. Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. editor / Tareq Z. Ahram ; Waldemar Karwowski ; Jay Kalra. Springer Science and Business Media Deutschland GmbH, 2021. pp. 223-229 (Lecture Notes in Networks and Systems).

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abstract = "It is proposed to develop a prototype platform based on artificial vision that allows us to identify the defects that ceramic tiles have, with which we can classify them according to their quality. The algorithms chosen to develop the platform are Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). The SVM algorithm has the characteristic that, a priori, we know the classes to which our individuals belong, it is not a grouping by similarities, but we have well-defined classes, in the treatment of images there is a high percentage of effectiveness of this algorithm. On the other hand, because of its ease of implementation, the KNN algorithm is one of the most widely used non-parametric classifiers. Its theoretical properties guarantee that its error probability is bounded by twice the Bayesian error probability, in the treatment of images with this algorithm there are high percentages of effectiveness in the classification The necessary parameters are established for the proposal based on the study of related works and the same application methodology is presented, which contemplates the pre-processing of the images, the obtaining of the descriptors, the use of the algorithms and the results obtained.",

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Pugo-Mendez, E & Serpa-Andrade, L 2021, Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles. in TZ Ahram, W Karwowski & J Kalra (eds), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. Lecture Notes in Networks and Systems, vol. 271, Springer Science and Business Media Deutschland GmbH, pp. 223-229, AHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021, Virtual, Online, 25/07/21. https://doi.org/10.1007/978-3-030-80624-8_28

Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles. / Pugo-Mendez, Edisson; Serpa-Andrade, Luis.
Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. ed. / Tareq Z. Ahram; Waldemar Karwowski; Jay Kalra. Springer Science and Business Media Deutschland GmbH, 2021. p. 223-229 (Lecture Notes in Networks and Systems; Vol. 271).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Serpa-Andrade, Luis

PY - 2021

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Pugo-Mendez E, Serpa-Andrade L. Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles. In Ahram TZ, Karwowski W, Kalra J, editors, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021. Springer Science and Business Media Deutschland GmbH. 2021. p. 223-229. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-80624-8_28

Proposal for a Platform Based on Artificial Vision for the Identification and Classification of Ceramic Tiles

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