Development of a Clustering Algorithm with Subsequent Identification for the Problem of Recognition in Infrared Multi-touch Frames

Multi-touch systems provide more opportunities for human-machine interaction, unlike conventional displays. In this paper, I propose an algorithm and its C# realization for the platform, which uses an infrared frame to fix touches. The purpose of the algorithm is to identify objects by the points fixed by the frame and then determine the position and rotation of these objects. Often there is a problem of finding the most simple and understandable visualization of complex phenomena or data. The algorithm and software are used at the exhibition stand, specially designed to demonstrate several scenarios of cyber attacks on industrial automotive production. The results of the proposed solution will be considered for a specific project and equipment but could be used for any other framework for any tasks where it is necessary to track unique objects by touch points.