The article proposes an algorithm for processing parallel analysis of visual data obtained by a machine vision system, recorded information in the human visible spectrum, and information received by a range camera. An algorithm for the formation of stable features as elements of the human body, head and pupils of a person and parallel tracking of their increment is proposed. To highlight trend lines in element displacement and eliminate the high frequency component based on a combined criterion. The image is preliminarily processed to reduce the effect of the noise component based on a multi-criteria objective function. As test data used to evaluate the effectiveness, a video stream with a resolution of 1024x768 (8-bit, color image, visible range), 3D data, and expert evaluation data are used.
The article discusses the problem of constructing an algorithm for the automated detection of operator fatigue and monitoring its state by analyzing data obtained by machine vision systems in the visible range. As information parameters, a combined model is used, which includes an analysis of the speed of movement of the pupils and the degree of scattering of motion eyes. A multi-criteria smoothing method is used to identify the trend curve. The deviation of the scatter of displacements of the focus of view relative to the center of the object also indicates the degree of operator involvement in the technological or controlled process. The speed of movement of the pupils and the spread in the displacements of the focus of view relative to the center of the main large object were recorded. The work contains tables and graphs fixing the result of detecting deviations relative to the values obtained in the first minutes of the operator's work, from the time of tracking the test video.
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