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DIALux software was used for modelling the room with camera and simulate illumination conditions in different zones. For the analysis, the YOLOv8 neural network architecture, widely used for detection, trained on several datasets and standard recognition models from the DeepFace library, were used. Other parameter that became the subject of this research was the camera position (front and tilted), which also has a significant impact on the face detection and recognition algorithms results. As a rule, recognition libraries have strict requirements for the maximum values of the distance from camera to the recognition object, the maximum angle of the camera and its position relative to the visitor's face. Without knowledge of these limitations, it is impossible to design a video surveillance system with object recognition function.
The research results demonstrates that the level of illumination significantly affects the quality of the algorithms. There are also maximum permissible camera angles at which it becomes impossible to detect and recognize faces. The first step in designing a facial recognition system should be to study the conditions of its placement (illumination conditions) and the characteristics of the equipment (camera resolution, focal length, angle of view).
Compensation of optical system distortion and image perspective deformations for the projection lens
Special attention is given for perspective deformations which arise in the deviation of the optical axis from perpendicular to the plane of projection. In processing takes into account both as horizontal and as vertical perspective deformation.
For possibility of optical system distortion compensation there is a need to provisional certification of lens by Abbe grid for taking polynomial description of distortion. According to certification results performed image processing on the points corresponding to the nodes of the grid Abbe. As a result of processing a digital image deformations introduced, the reverse occurring when deformations are projecting.
Pre-made image deformations allow to compensate for distortion of optical system and the perspective deformation caused by the projection lens used, therefore, when projecting the image will largely corresponds to the original image. The results of the work is planning to use in the preparation of digital image mapping show, namely the projection on objects of complex geometric shapes.
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