The system for generating and detecting ArUco markers is based on the creation and setup of a project in the integrated development environment PyCharm, and the programming of an application for loading static image, generating and detecting ArUco markers using the Python programming language. ArUco markers are fiducial markers that feature an outer black border, facilitating easier detection of objects by transitioning from the image background to the marker, and an internal binary code containing an identifier. The type of ArUco marker dictionary is defined by the combination of the overall size and the grid size of the marker, thereby determining the dimensions of the border and the binary code of the marker. When loading a static image into the program, it is necessary to read the image resolution and then determine which type of ArUco marker dictionary is most suitable for application and where to place it, taking into account the clarity of the image content and the possibility of detecting the ArUco marker based on its distance in the image, to avoid losing the visibility of the marker’s content. The identifier is assigned randomly. The image is then saved in the same file with the new content, i.e., the added ArUco markers on the image. After that, we apply ArUco marker detection on the image containing the markers. The program will execute even if the image does not contain ArUco markers, but the markers will not be detected.