Apparatus for detecting interference objects based on deep learning in wireless power transmission and method therefor

摘要

An apparatus for detecting an interference object between deep learning-based wireless power transmission according to an embodiment of the present invention collects a plurality of data while a transmitter transmits power to a receiver, and divides the collected data into a plurality of types After classification, a data processing unit that provides a plurality of data classified into a plurality of types, and a plurality of intermediate values for calculating an intermediate value by performing an operation according to each artificial neural network algorithm on a plurality of data of each corresponding type It includes a multiple discriminator including a discriminant model, and a merge discriminator including a merge discriminant model that outputs a final value indicating the probability that an interfering object exists by performing an operation according to an artificial neural network algorithm on the intermediate value.