Résumé
The article focuses on the definition of risk management in industry, which is linked to developing an automated diagnostic and inspection system based on artificial intelligence designed to eliminate risks in industrial companies. The thesis outlines the risk management process according to the current ISO standard, and the following section of the article summarizes the risk management options available to businesses. The article also discusses the numerous strategies that can be used to lessen the risk of working with automated systems in industrial settings. A critical element in the spread of COVID-19 is the failure to maintain a sufficient distance between people (workers) and the late detection of the symptoms of this disease. Monitoring unjustifiable aggregation of workers and early detection of symptoms such as characteristic cough and temperature makes it possible to reduce or significantly eliminate the spread of this disease in the engineering company. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.