High-resolution raindrop counting via instantaneous frequency sensing on hydrophobic elastic membranes

Rytis Paškauskas

PLOS ONE, 2024, vol. 19, issue 12, 1-21

Abstract: In this paper, we introduce a novel approach that paves the way for the creation of affordable, high-precision rainfall sensors utilizing microphone data. The cornerstone of this methodology is an innovative algorithm capable of converting audio recordings into distinctive features, which are subsequently processed by a compact machine learning model. Our findings demonstrate that this technique can attain a temporal resolution of 10 milliseconds with an accuracy of 80%, underscoring its potential to overcome the limitations imposed by the necessity for power infrastructure and specialized expertise in traditional rain sensing methods.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0311995

DOI: 10.1371/journal.pone.0311995

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