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LiquidLevel_SI_ChemRxiv.pdf (2.11 MB)

Automated Liquid-Level Monitoring and Control using Computer Vision

preprint
submitted on 13.08.2020, 00:26 and posted on 13.08.2020, 09:29 by Tara Zepel, Veronica Lai, Lars P. E. Yunker, Jason E. Hein
Chemists spend an inordinate amount of time performing low-level tasks based on visual observation. Camera-enabled laboratory equipment in conversation with computer vision algorithms can be used to automate many of these processes, thereby freeing up valuable time and resources. We developed a generalizable computer-vision based system capable of monitoring and controlling liquid-level across a variety of chemistry applications. This paper reports on the system’s motivation, architecture, and successful deployment in three experimental use cases which require continous stirring: continuous preferential crystallization (CPC), slurry filtration, and solvent swap distillation

Funding

DARPA's Accelerated Molecular Discovery Program under Cooperative Agreement No. HR00111920027

CFI-35883

RCPIN-2016-04613

History

Email Address of Submitting Author

tarazee@gmail.com

Institution

Univeristy of British Columbia, Vancouver

Country

Canada

ORCID For Submitting Author

0000-0002-9749-9615

Declaration of Conflict of Interest

There are no conflicts of interest to declare.

Version Notes

Hydrogen-1 (H1)

Exports