The aim of this master thesis is to expose the work done during my five months of internship at the Blue Reply company in Turin where I worked on a commission project from one of the largest energy companies in the world. It has consisted in the development of an API based on a machine learning algorithm that is able to receive as input an image of an eletrical switch, to detect the QR codes which are present and to extract the information on them, to crop the area of interest and to query the appropiate convolutional neural network (CNN) previously trained to give as output a prediction about the state of the switch.