Apparatus for monitoring bioaerosols using machine learning and method thereof
Abstract:
Disclosed is an apparatus for monitoring bioaerosols, including a capturer configured to capture bioaerosol particles in air in a capture solution; a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are included in at least some of the sprayed droplets; and an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning. In accordance with such a configuration, the droplets containing a certain amount of the particles can be continuously analyzed in real time by machine learning, thereby contributing to the improvement of monitoring efficiency for a specific bioaerosol genus.
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