Ensuring worker safety is a critical requirement in industrial environments, where complex operational conditions, dynamic workflows, and the presence of heavy machinery increase the risk of accidents and non-compliance with safety regulations. Traditional manual monitoring approaches are often insufficient due to limited human attention, delayed response times, and challenges in consistently enforcing safety protocols across large industrial sites. In recent years, computer vision techniques have emerged as effective tools for supporting automated monitoring systems, enabling continuous supervision of workspaces and the timely detection of hazardous situations. In particular, the identification of the absence, improper use, or misuse of personal protective equipment (PPE) can significantly reduce safety incidents.