Artificial intelligence applied to the stone manufacturing industry: A systematic literature review

Santos Silva, Alexandre; Antunes, Carolina; Miragaia, Rolando; Costa, Rogério Luís C.; Silva, Fernando; Ribeiro, José

http://hdl.handle.net/10400.8/14516

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Authors

Santos Silva, Alexandre

Antunes, Carolina

Miragaia, Rolando

Costa, Rogério Luís C.

Silva, Fernando

Ribeiro, José

Abstract(s)

Natural stone has long been used in construction, as its properties provide functional and visual value, and the natural stone market currently holds significant importance in the global economy. It is important to consider integrating new technologies in the production chain to aid the industry in moving forward, increasing profit margins and reducing wasted material. This article reviews recent trends in using Artificial Intelligence and Machine Learning techniques in the industry between 2017 and 2024, following a methodology for Systematic Literature Reviews in computer science. It was found that extensive research has been conducted on the subject of tile classification, with solid solutions proposed, achieving results that can be considered robust enough for industrial application. Other subjects comprise tasks regarding stone cutting and defect detection, as well as variable prediction, and quarry activity monitoring. Some authors propose solutions to integrate new technologies into the complete production chain. While more research needs to be done on specific subjects, this review provides a solid first step to future research.

Description

Article number - 110702

Keywords

Artificial intelligence Machine learning Stone industry Stone manufacturing Natural stone Computer vision

URI

http://hdl.handle.net/10400.8/14516

Citation

Silva, Alexandre & Antunes, Carolina & Miragaia, Rolando & Costa, Rogério Luís & Silva, Fernando & Ribeiro, José. (2025). Artificial Intelligence Applied to the Stone Manufacturing Industry: A Systematic Literature Review. 10.2139/ssrn.5188439.