Deep Learning Approach at the Edge to Detect Iron Ore Type

There is a constant risk of iron ore collapsing during its transfer between processing stages in beneficiation plants. Existing instrumentation is not only expensive but also complex and challenging to maintain. In this research, we propose using edge artificial intelligence for early detection of l...

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Detalles Bibliográficos
Autores principales: Klippel, Emerson, Bianchi, Andrea Gomes Campos, Delabrida, Saul, Silva, Mateus Coelho, Garrocho, Charles Tim Batista, Moreira, Vinicius da Silva, Oliveira, Ricardo Augusto Rabelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749548/
https://www.ncbi.nlm.nih.gov/pubmed/35009712
http://dx.doi.org/10.3390/s22010169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749548/
https://www.ncbi.nlm.nih.gov/pubmed/35009712
http://dx.doi.org/10.3390/s22010169

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