Dataset of sodium chloride sterile liquid in bottles for intravenous administration and fill level monitoring.

ABSTRACT: We propose a dataset to investigate the relationship between the fill level of bottles and tiny machine learning algorithms. Tiny machine learning is represented by any Artificial Intelligence algorithm (spanning from conventional decision tree classifiers to artificial neural networks) that can be deployed into a resource constrained micro controller unit (MCU). The data presented has been originally collected for a joint research project by STMicroelectronics and Sesovera.ai. This article describes the recorded image data of bottles with 4 levels of filling. The bottles contain sodium chloride sterile liquid for intravenous administration. One subject of investigation using this dataset could be the classification of the liquid fill level, for example, to ease continuous human visual mon

SUBMITTER: Pau D 

PROVIDER: S-EPMC7672290 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature