The scope of the proposed project is to create glasses for sensory substitution, involving a series of interconnected stages, from obtaining the input data to displaying the results on a screen. Initially, Arduino will process the sound captured by the microphone and submit it to the Fast Fourier Transform. This technique allows audio signals to be converted from the time domain to the frequency domain, generating output graphs. Once the FFT has been applied, the frequency spectra and their respective volumes will be differentiated and separated in order to make it easier to identify different sounds and their characteristics, allowing for a more detailed study of the captured audio. This functionality will be implemented using signal processing techniques and analysis of the amplitude and phase of the sound waves. The data obtained will be projected onto a 1.5-inch display, providing a clear and concise view of the information analyzed. This display will serve as a user interface, facilitating interaction with the system and interpretation of the results. In addition to analyzing and displaying the data, the project includes the prototyping phase, ensuring that all the planned functionalities are integrated and tested in a concise manner, in line with Python programming, which will allow complex algorithms to be implemented efficiently and large volumes of information to be manipulated in a practical manner. Programming will be key to integrating mathematical calculations, data analysis and electronic prototyping. Such perspectives will result in the conversion of sounds to graphics, thus obtaining the image of sound, in order to increase the daily accessibility of the hearing impaired.