The main goal of this work was to develop a system for face detection and skin tone recognition and the application of an appropriate protective factor. The theoretical part provides an overview of the definition and description of artificial intelligence, the areas in which it is used and the development and application areas of artificial intelligence, with a special emphasis on computer vision. The types of machine learning and their application in various researches and everyday applications are analyzed. In particular, neural networks were analyzed, which represent the basis of deep learning, which has the ability to learn from large amounts of data without human intervention. The phases of the face detection process, the technologies that are applied and examples of the use of computer vision are presented. In the practical part of this work, a procedure for face detection is presented, which is integrated with skin tone recognition and a recommendation for the appropriate protective factor. The program is written in the Python programming language, which shows the results of the recognized face, skin tone and protective factor recommendations.