Implementation of Machine Learning Methods within a Conception of Industry 4.0 Developing Technologies

Industry 4.0 is a unique period which is famous for appearance of such progressive technologies as IoT and smart houses that have already started to change our life. These technologies indeed make our life more comfortable and secure. During our first investigation phase we studied the existing literature on the conception of Industry 4.0 and analized its features and components and also tried to make several predictions on the possible impacts of Industry 4.0. In the theoretical section of the research we studied the basics and the most popular algorithms of the machine learning and then analized the information about the artificial neural networks which were the basis of the practical part of the research. In the practical part we described the most important stages of neural network training. The training of the neural network was carried out with the purpose of its application for solving the problem of classification. This network successfully solves the problem of classifying objects that fall into a frame, after which point the video surveillance system sends a notification to the user and starts recording video to capture the object presence. This algorithm is designed to optimize the operation of the video surveillance system that is part of the smart home system. In the final part of the research, an analysis of competitors was given, followed by a business case for development.