A computer system for adjusting the «Brightness» and «Contrast» parameters of USB video cameras is developed, which consists of video cameras, computer and Python software. The settings of the video camera are performed by a computer program using an artificial neural network (ANN). A three-layer perceptron with learning by the method of backpropagation was used as an ANN. The inputs of the ANN are histograms of the brightness of the images, that read from the video camera. The ANN training dataset contained a series of images obtained at different values of the "Brightness" and "Contrast" parameters of the video camera. The settings of the video camera parameters are performed iteratively with a given step. An experimental test of the developed system for adjusting the "Brightness" and "Contrast" parameters of the video camera was performed, as a result of which the visual quality of the video stream was increased.
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