Enabling Sustainable Steel Production with Computer Vision

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Abstract

The steel industry is a significant contributor to global carbon emissions, making the sustainability of it an important area of improvement. Existing decarbonisation solutions such as carbon capture, hydrogen-based steelmaking and electrolysis have been explored but the potential of artificial intelligence, and specifically computer vision, is yet to be realised. Computer vision has shown competence in a range of steelmaking applications but has not been linked to sustainability in the industry. This lack of awareness results in missed opportunities for sustainable development. The introduction of this paper connects computer vision to steelmaking and sustainability, which is followed by a literature review based on existing technologies, and the description of a future vision of steelmaking. The paper will be finalised with conclusions.

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APA

O’Donovan, C., Giannetti, C., & Pleydell-Pearce, C. (2023). Enabling Sustainable Steel Production with Computer Vision. In Advances in Transdisciplinary Engineering (Vol. 44, pp. 37–42). IOS Press BV. https://doi.org/10.3233/ATDE230897

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