Method of determining replacement time of filter and air conditioner that determines replacement time of filter

Abstract

Disclosed herein is an air conditioner that determines the replacement time of a filter. The air conditioner may include a filter for filtering particles in air that is suctioned, a first camera disposed so as to monitor the state of the filter, and a controller for analyzing an image of the filter acquired from the first camera through a deep neural network model trained using machine learning in order to determine a pollution level of the filter. The controller may be configured to determine the time at which the filter is to be replaced based on at least the pollution level of the filter, and may be further configured to use information collected from other electronic devices in an Internet-of-Things environment connected as a 5G communication environment in order to determine the time at which the filter is to be replaced.

Dependencies are inferred from the claim text.