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The paper presents the results of research on the use of tomographic sensors to analyze industrial processes using dedicated measuring devices, image reconstruction algorithms and cyber-physical system (CPS). The work mainly focuses on ultrasound tomography and image reconstruction using determi-nistic methods and machine learning. The tests were carried out for synthetic data and laboratory measurements. The main advantage of the proposed system is the ability to analyze spatial data and their high processing speed. The presented research results indicate that ultrasonic process tomography gives the opportunity to analyze processes occurring inside the facility without disrupting production. The presented method enables the analysis and detection of obstacles, defects and various anomalies. Knowing the characteristics of the problem, the application allows you to choose the right method of image reconstruction.
