A neural network trained on videos of inverted vials infers liquid viscosity from 0.01 to 1000 Pa.s with 15 to 25 percent relative error, using only a camera, a motor, and known density.
(Wiley-VCH, New York), p
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.GR 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
High-throughput viscometry via machine-learning from videos of inverted vials
A neural network trained on videos of inverted vials infers liquid viscosity from 0.01 to 1000 Pa.s with 15 to 25 percent relative error, using only a camera, a motor, and known density.