Using of Computer Vision with Stroboscopic Imaging in 5G

The paper investigates the possibility of detecting the rotational movement of objects with axial symmetry, which is based on the use of stroboscopic shooting of the initial image. For research using computer graphics methods, a set of data has been developed, which is the basis for the further process of machine learning. For this, an array of binary images, which have the axis of symmetry of the second, third, and fourth orders, is generated using computer graphics methods. To study the effect of stroboscopic shooting, this array is supplemented with binary graphic images with the effects of 2-, 3-, … and 10-fold stroboscopic shooting. Since the objects have axial symmetry, circular trajectories are used to scan the image plane to investigate their properties. Scan trajectories add two more problem parameters: the radius of the trajectory and the offset of the centre of the trajectory from the centre of the object. The scan then produces linear binary arrays consisting of 360 elements defined by one complete rotation around the centre of the circle in the image plane. These arrays are the initial data for selecting characteristics of machine learning algorithms. Such a characteristic, in particular, is the fraction of bits that have the value «0». Studies of the effect on this value of the main parameters of the model (scanning radius and multiplicity of stroboscopic shooting) have shown its effectiveness for use as a characteristic of machine learning of the system. On the basis of such a dependence, an optimization function is built, which, in its content, is the sum of squares of mixed derivatives of the second order by variables corresponding to the main parameters of the model. The stability of the method to errors of the second kind (false detection) is studied. The robustness of the method to errors arising both in the process of receiving input data and in the process of transferring binary arrays obtained in the process of scanning the initial images is investigated. The practical value of the developed method lies is that it can be applied to the development and manufacture of optical sensors for detecting the rotational movement of objects with axes of symmetry of the second and higher orders.