As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
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.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.