This paper focuses on the identification of the aluminothermic reaction in molten aluminium bath, inside casting furnaces. A RGB Camera was used to acquire the video from inside of the furnace and three different computer vision algorithms were developed to identify aluminothermic flames. Tests showed that it is possible to identify aluminothermic flames inside the furnace by relying on different image processing techniques on RGB, HSV and Grey scale of images extracted from video frames.

Identification of Aluminothermic Reaction Through Vision System and Flame Recognition

Conti F.;Ravi Y. S.;Fasoli P.;Mazzoleni A.;Tarabini M.
2022-01-01

Abstract

This paper focuses on the identification of the aluminothermic reaction in molten aluminium bath, inside casting furnaces. A RGB Camera was used to acquire the video from inside of the furnace and three different computer vision algorithms were developed to identify aluminothermic flames. Tests showed that it is possible to identify aluminothermic flames inside the furnace by relying on different image processing techniques on RGB, HSV and Grey scale of images extracted from video frames.
2022
Proceedings of the 2022 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2022
978-1-6654-1093-9
File in questo prodotto:
File Dimensione Formato  
Identification_of_Aluminothermic_Reaction_Through_Vision_System_and_Flame_Recognition.pdf

Accesso riservato

: Publisher’s version
Dimensione 1.55 MB
Formato Adobe PDF
1.55 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1222072
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact