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Automated Liquid-Level Monitoring and Control using Computer Vision

preprint
submitted on 13.08.2020 and posted on 13.08.2020 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