Electrical signal processing apparatus using Deep learning image processing technology

摘要

The present invention relates to an electrical signal processing apparatus using deep learning image processing technology, and A converting an analog signal, which is an electrical signal having physical characteristics including amplitude, period, and phase, obtained from an object by a detection means, into a digital signal /D converter 110; an image generator 120 that converts the digital signal output from the A/D converter 110 into an image (pattern) in the form of a two-dimensional graph; and a deep learning unit 130 for recognizing and learning the image output from the image generator 120 to extract physical characteristics including the amplitude, period, and phase of the object. According to the present invention, after obtaining an electrical signal from an object such as a metal body, converting the electrical signal into an image in the form of a two-dimensional graph, the image is recognized and learned to extract the physical characteristics of the object to accurately recognize the object by learning. can