Faster R-CNN-based Detection and Tracking of Hydrogen and Oxygen Bubbles in Alkaline Water Electrolysis

In this study, a method for detecting and tracking hydrogen and oxygen bubbles during alkaline water electrolysis was developed using Faster R-CNN and DeepSORT. The images required for CNN training were automatically generated by a pseudo-bubble image generation algorithm specifically developed for...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Kohei TOYAMA, Ryo KANEMOTO, Ryuta MISUMI, Takuto ARAKI, Shigenori MITSUSHIMA
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	The Electrochemical Society of Japan 2025-02-01
Schriftenreihe:	Electrochemistry
Schlagworte:	deep learning bubble detection alkaline water electrolysis hydrogen evolution reaction
Online-Zugang:	https://www.jstage.jst.go.jp/article/electrochemistry/93/2/93_24-00127/_html/-char/en
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