Simultaneous mass estimation and class classification of scrap metals using deep learning

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to...

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Autores: Diaz-Romero, Dillam, Van den Eynde, Simon, Sterkens, Wouter, Engelen, Bart, Zaplana Agut, Isiah|||0000-0002-0862-3240, Dewulf, Wim, Goedemé, Toon, Peeters, Jef R.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/381993
Acceso en línea:https://hdl.handle.net/2117/381993
https://dx.doi.org/10.1016/j.resconrec.2022.106272
Access Level:acceso abierto
Palabra clave:Scrap metals
Artificial intelligence
Automatic sorting
Metal recycling
Stainless steel
Cast and wrought aluminium scrap
Deep learning computer vision
Backpropagation neural network
Mass/weight prediction
Object detection and recognition
Residus metàl·lics
Intel·ligència artificial
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental::Tractament dels residus
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Sumario:© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works