[6-1] Process Optimization: AI, Modeling & Control

1:20 PM - 1:40 PM JST(4:20 AM - 4:40 AM UTC)

[6-1-03] Quantifying Protruding Filaments via Deep Learning Semantic Segmentation to Assess Filamentous Bulking in Activated Sludge

*Uthpala Kaushalya Bulathgamayalage¹, Yuki Nakaya¹, Shota Ishizaki¹, Kai Sugino¹, Reiko Hirano², Hisashi Satoh¹ (1. Division of Environmental Engineering, Graduate School of Engineering, Hokkaido University (Japan), 2. Cellspect Co. Ltd., Morioka, Iwate (Japan))

Keywords:

Activated Sludge,Sludge Settleability,Solid-liquid Separation,Filamentous Bulking,Quantitative Image Analysis

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