Desenvolvimento de um protótipo de um sistema de controle e identificação do uso de equipamentos de proteção individual para o apoio ao supervisor de segurança do trabalho

Abstract

The lack of use of Personal Protective Equipment (PPE) is among the main factors associated with workplace accidents, highlighting the need for more efficient inspection and monitoring mechanisms. In this context, this study proposes the development of a prototype for an automatic PPE monitoring system aimed at supporting occupational safety supervisors. The project was conducted using the Design Thinking methodology, structured into the stages of inspiration, ideation, and implementation. Initially, the problem was identified through a literature review and the application of questionnaires. Subsequently, the system's functional and non-functional requirements were defined, along with the technical solutions adopted. The proposed solution employs computer vision techniques and the YOLO architecture to detect the use of helmets, gloves, and safety vests, as well as to store records and issue alerts in cases of non-compliance. The conducted tests demonstrated the feasibility of the prototype, highlighting its ability to support automated PPE monitoring, reduce human error during inspections, and contribute to improving workplace safety.