Abstract
The work presents the “Expert Polymer” educational intelligent system for identifying particles suitable for 3D printing. The software package is designed to analyze images of polymer materials on a production site using optics. It is planned that this intelligent system will be used as an educational set of programs for students of higher educational institutions, as well as for bioengineers and materials scientists for scientific and production purposes. The study used Internet of Things (IoT) technologies to obtain images from optical measurement devices (electron microscope, etc.) from system users and send them the results of image analysis. By interacting the electron microscope with the created software package, the task of determining the number of all particles and the number of particles that satisfy the 3D printing algorithm was performed. Based on these data, the expert makes a decision on the possibility of using polymer particles for subsequent 3D printing. To implement the system, modern libraries of the Python programming language were used, namely Pandas, Direction2 and YOLOv5 and others.
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