This paper presents the automation of the measurement of the main parameters o f the human body using a high-level Python programming language using the MediaPipe and OpenCV libraries to study practically important issues in screening the population to...
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This paper presents the automation of the measurement of the main parameters o f the human body using a high-level Python programming language using the MediaPipe and OpenCV libraries to study practically important issues in screening the population to determine the level of health. For medical institutions and public health authorities, anthropometric data of the population are of considerable interest, the mass character of anthropometric studies makes it possible to compare and evaluate the variability of the characteristics of different groups based on
measurements of a large number of individuals, as well as to establish the features of their physical structure, which makes it possible to quantify their variability and make it possible to constantly monitor and predict the level ofpublic health. We propose a method for automating the measurement of the human body in real time based ona unified deep learning architecture, and the architecture of the model is embedded in the struct
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