Aplicação de ferramentas de qualidade e tecnologias digitais no controle higiênico sanitario em industrias de alimentos e serviços de alimentação

Abstract

This study analyzes the application of quality tools and digital technologies in hygienicsanitary control in food industries and food services, emphasizing the use of artificial intelligence as support for food safety management. An integrative literature review was conducted using the SciELO, PubMed, CAPES Periodicals Portal, and Google Scholar databases, including studies published between 2018 and 2024 in Portuguese, English, and Spanish. After applying inclusion criteria, selected studies were organized into a synoptic table and categorized thematically. Results indicate significant advances in automated inspection through computer vision, environmental monitoring using intelligent sensors, traceability through blockchain, and predictive analysis of sanitary risks using machine learning systems. The findings reveal improvements in inspection accuracy, reduction of operational failures, and stronger prevention of nonconformities, directly impacting public health protection. However, challenges remain related to implementation costs, technological infrastructure, and professional training. It is concluded that the integrated adoption of traditional quality tools and emerging technologies contributes to the modernization of the food sector, provided it is accompanied by strategic planning and technical training, enhancing operational efficiency and process reliability. Further national applied research is recommended to assess long-term economic and sanitary impacts.