A inteligência artificial aplicada à segurança do trabalho: uma revisão das principais ferramentas, desafios e oportunidades

Abstract

AI has been increasingly used in industrial settings for real-time risk monitoring, process automation, and accident prediction based on the analysis of large volumes of data. The objective is to analyze the contribution of Artificial Intelligence (AI) to Occupational Safety Management in workplaces. The Methodi Ordinatio protocol was adopted. The Web of Science, Scopus, and ScienceDirect databases were used, limiting searches to the last three years. Filtering was performed to eliminate duplicates in the JabRef [trade mark] program. Using the Rank spreadsheet, the five hundred highest-ranked article abstracts of interest were read. Ten articles were selected. Note the use of Deep Learning as a basis for data processing in the development of AI, as well as hybrid models integrating Neural Networks, or Learning Machine, and/or Computer Vision. Some classify and monitor risks, others map and identify hazards and the worker in action, as well as the proper use of PPE. It refers to the use of sensors and cameras to capture data. It can be concluded that Artificial Intelligence effectively contributes to the practice and management of Occupational Safety in potentially hazardous environments.